Quantum Computing in the NISQ era and beyond

John Preskill

Institute for Quantum Information and Matter and Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena CA 91125, USA

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Noisy Intermediate-Scale Quantum (NISQ) technology will be available in the near future. Quantum computers with 50-100 qubits may be able to perform tasks which surpass the capabilities of today's classical digital computers, but noise in quantum gates will limit the size of quantum circuits that can be executed reliably. NISQ devices will be useful tools for exploring many-body quantum physics, and may have other useful applications, but the 100-qubit quantum computer will not change the world right away - we should regard it as a significant step toward the more powerful quantum technologies of the future. Quantum technologists should continue to strive for more accurate quantum gates and, eventually, fully fault-tolerant quantum computing.

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► References

[1] P. W. Shor, Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer, SIAM Rev. 41, 303-332 (1999), 10.1137/​S0036144598347011.

[2] A. P. Lund, M. J. Bremner, and T. C. Ralph, Quantum sampling problems, BosonSampling, and quantum supremacy, npj Quantum Information 3: 15 (2017), arXiv:1702.03061, 10.1038/​s41534-017-0018-2.

[3] A. W. Harrow and A. Montanaro, Quantum computational supremacy, Nature 549, 203-209 (2017), 10.1038/​nature23458.

[4] S. P. Jordan, Quantum algorithm zoo, http:/​/​math.nist.gov/​quantum/​zoo/​.

[5] A. Montanaro, Quantum algorithms: an overview, npj Quantum Information, 15023 (2016), arXiv:1511.04206, 10.1038/​npjqi.2015.23.

[6] L. Grover, Quantum mechanics helps in searching for a needle in a haystack, Phys. Rev. Lett. 79, 325 (1997), arXiv:quant-ph/​9706033, 10.1103/​PhysRevLett.79.325.

[7] C. H. Bennett, E. Bernstein, G. Brassard, and U. Vazirani, Strengths and weaknesses of quantum computing, SIAM J. Comput. 26, 1510-1523 (1997), arXiv:quant-ph/​9701001, 10.1137/​S0097539796300933.

[8] R. B. Laughlin and D. Pines, The theory of everything, PNAS 97, 28-31 (2000), 10.1073/​pnas.97.1.28.

[9] R. P. Feynman, Simulating physics with computers, Int. J. Theor. Physics 21, 467-488 (1982).

[10] D. Gottesman, An introduction to quantum error correction and fault-tolerant quantum computation, Proceedings of Symposia in Applied Matthematics 68 (2010), arXiv:0904.2557.

[11] S. Boixo, S. V. Isakov, V. N. Smelyansky, R. Babbush, N. Ding, Z. Jiang, M. J. Bremner, J. M. Martinis, and H. Neven, Characterizing quantum supremacy in near-term devices, Nature Physics 14, 595-600 (2018), arXiv:1608.00263 (2016), 10.1038/​s41567-018-0124-x.

[12] S. Aaronson and L. Chen, Complexity-theoretic foundations of quantum supremacy experiments, arXiv:1612.05903 (2017).

[13] E. Pednault, J. A. Gunnels, G. Nannicini, L. Horesh, T. Magerlein, E. Solomonik, and R. Wisnieff, Breaking the 49-qubit barrier in the simulation of quantum circuits, arXiv:1710.05867 (2017).

[14] C. J. Ballance, T. P. Harty, N. M. Linke, M. A. Sepiol, and D. M. Lucas, High-fidelity quantum logic gates using trapped-ion hyperfine qubits, Phys. Rev. Lett. 117, 060504 (2016), arXiv:1512.04600, 10.1103/​PhysRevLett.117.060504.

[15] R. Barends, J. Kelly, A. Megrant, A. Veitia, D. Sank, E. Jeffrey, T. C. White, J. Mutus, A. G. Fowler, B. Campbell, Y. Chen, Z. Chen, B. Chiaro, A. Dunsworth, C. Neill, P. O'Malley, P. Roushan, A. Vainsencher, J. Wenner, A. N. Korotkov, A. N. Cleland, and J. M. Martinis, Superconducting quantum circuits at the surface code threshold for fault tolerance, Nature 508, 500-503 (2014), arXiv:1402.4848, 10.1038/​nature13171.

[16] D. J. Bernstein, J. Buchmann, E. Dahmen, editors, Post-Quantum Cryptography, Springer (2009), 10.1007/​978-3-540-88702-7.

[17] R. Alléaume, C. Branciard, J. Bouda, T. Debuisschert, M. Dianati, N. Gisin, M. Godfrey, P. Grangier, T. Länger, N. Lütkenhaus, C. Monyk, P. Painchault, M. Peev, A. Poppe, T. Pornin, J. Rarity, R. Renner, G. Ribordy, M. Riguidel, L. Salvail, A. Shields, H. Weinfurter, and A. Zeilinger, Using quantum key distribution for cryptographic purposes: a survey, Theoretical Computer Science 560, 62-81 (2014), arXiv:quant-ph/​0701168, 10.1016/​j.tcs.2014.09.018.

[18] S. Muralidharan, L. Li, J. Kim, N Lütkenhaus, M. D. Lukin, and L. Jiang, Efficient long distance quantum communication, Scientific Reports 6, 20463 (2016), arXiv:1509.08435, 10.1038/​srep20463.

[19] P. Bierhorst, E. Knill, S. Glancy, Y. Zhang, A. Mink, S. Jordan, A. Rommal, Y.-K. Liu, B. Christensen, S. W. Nam, M. J. Stevens, and L. K. Shalm, Experimentally generated randomness certified by the impossibility of superluminal signals, Nature 556, 223-226 (2018), arXiv:1803.06219, 10.1038/​s41586-018-0019-0.

[20] Z. Brakerski, P. Christiano, U. Mahadev, U. Vazirani, and T. Vidick, Certifiable randomness from a single quantum device, arXiv:1804.00640 (2018).

[21] C. L. Degen, F. Reinhard, and P. Cappellaro, Quantum sensing, Rev. Mod. Phys. 89, 035002 (2017), arXiv:1611.04691, 10.1103/​RevModPhys.89.035002.

[22] J. Preskill, Quantum computing and the entanglement frontier, 25th Solvay Conference on Physics (2011), arXiv:1203.5813.

[23] S. Khot, Hardness of approximation, Proceedings of the International Congress of Mathematicians (2014).

[24] E. Farhi, J. Goldstone, and S. Gutmann, A quantum approximate optimization algorithm, arXiv:1411.4028 (2014).

[25] J. R. McClean, J. Romero, R. Babbush, and A. Aspuru-Guzik, The theory of variational hybrid quantum-classical algorithms, New J. Phys. 18, 023023 (2016), arXiv:1509.04279, 10.1038/​ncomms5213.

[26] D. A. Spielman and S.-H. Teng, Smoothed analysis of algorithms: why the simplex algorithm usually takes polynomial time, Journal of the ACM 51, 385-463 (2004), arXiv:cs/​0111050, 10.1145/​990308.990310.

[27] Y. LeCun, Y. Bengio, and G. Hinton, Deep learning, Nature 521, 436-444 (2015), 10.1038/​nature14539.

[28] T. F. Rønnow, Z. Wang, J. Job, S. Boixo, S. V. Isakov, D. Wecker, J. M. Martinis, D. A. Lidar, and M. Troyer, Defining and detecting quantum speedup, Science 345, 420-424 (2014), 10.1126/​science.1252319.

[29] S. Mandrà, H. G. Katzgraber, and C. Thomas, The pitfalls of planar spin-glass benchmarks: raising the bar for quantum annealers (again), Quantum Sci. Technol. 2, 038501 (2017), arXiv:1703.00622, 10.1088/​2058-9565/​aa7877.

[30] T. Albash and D. A. Lidar, Adiabatic quantum computing, Rev. Mod. Phys. 90, 015002 (2018), arXiv:1611.04471, 10.1103/​RevModPhys.90.015002.

[31] D. Aharonov, W. van Dam, J. Kempe, Z. Landau, S. Lloyd, and O. Regev, Adiabatic quantum computation is equivalent to standard quantum computation, SIAM Rev. 50, 755-787 (2008), arXiv:quant-ph/​0405098.

[32] S. Bravyi, D. DiVincenzo, R. I. Oliveira, and B. M. Terhal, The complexity of stoquastic local Hamiltonian problems, Quant. Inf. Comp. 8, 0361-0385 (2008), arXiv:quant-ph/​0606140.

[33] M. Jarret, S. P. Jordan, and B. Lackey, Adiabatic optimization versus diffusion Monte Carlo, Phys. Rev. A 94, 042318 (2016), arXiv:1607.03389, 10.1103/​PhysRevA.94.042318.

[34] A. D. King, J. Carrasquilla, I. Ozfidan, J. Raymond, E. Andriyash, A. Berkley, M. Reis, T. M. Lanting, R. Harris, G. Poulin-Lamarre, A. Yu. Smirnov, C. Rich, F. Altomare, P. Bunyk, J. Whittaker, L. Swenson, E. Hoskinson, Y. Sato, M. Volkmann, E. Ladizinsky, M. Johnson, J. Hilton, and M. H. Amin, Observation of topological phenomena in a programmable lattice of 1,800 qubits, arXiv:1803.02047 (2018).

[35] I. H. Kim, Noise-resilient preparation of quantum many-body ground states, arXiv:1703.00032 (2017).

[36] I. H. Kim and B. Swingle, Robust entanglement renormalization on a noisy quantum computer, arXiv:1711.07500 (2017).

[37] J. Biamonte, P. Wittek, N. Pancotti, P. Rebentrost, N. Wiebe, and S. Lloyd, Quantum machine learning, Nature 549, 195-202 (2017), arXiv:1611.09347, 10.1038/​nature23474.

[38] S. Aaronson, Read the fine print, Nature Physics 11, 291-293 (2015), 10.1038/​nphys3272.

[39] X. Gao, Z. Zhang, and L. Duan, An efficient quantum algorithm for generative machine learning, arXiv:1711.02038 (2017).

[40] A. W. Harrow, A. Hassidim, and S. Lloyd, Quantum algorithm for linear systems of equations, Phys. Rev. Lett. 103, 150502 (2009), arXiv:0811.3171, 10.1103/​PhysRevLett.103.150502.

[41] B. D. Clader, B. C. Jacobs, and C. R. Sprouse, Preconditioned quantum linear system algorithm, Phys. Rev. Lett. 110, 250504 (2013), arXiv:1301.2340, 10.1103/​PhysRevLett.110.250504.

[42] A. Montanaro and S. Pallister, Quantum algorithms and the finite element method, Phys. Rev. A 93, 032324 (2016), arXiv:1512.05903, 10.1103/​PhysRevA.93.032324.

[43] P. C. S. Costa, S. Jordan, and A. Ostrander, Quantum algorithm for simulating the wave equation, arXiv:1711.05394 (2017).

[44] I. Kerenidis and A. Prakash, Quantum recommendation systems, arXiv:1603.08675 (2016).

[45] E. Tang, A quantum-inspired classical algorithm for recommendation systems, Electronic Colloquium on Computational Complexity, TR18-12 (2018).

[46] F. G. S. L. Brandão and K. Svore, Quantum speed-ups for semidefinite programming, Proceedings of FOCS 2017, arXiv:1609.05537 (2017).

[47] F. G. S. L. Brandão, A. Kalev, T. Li, C. Y.-Y. Lin, K. M. Svore, and X. Wu, Exponential quantum speed-ups for semidefinite programming with applications to quantum learning, arXiv:1710.02581 (2017).

[48] M. Reiher, N. Wiebe, K. M. Svore, D. Wecker, and M. Troyer, Elucidating reaction mechanisms on quantum computers, PNAS 117, 7555-7560 (2017), arXiv:1605.03590, 10.1073/​pnas.1619152114.

[49] D. Wecker, M. B. Hastings, N. Wiebe, B. K. Clark, C. Nayak, and M. Troyer, Solving strongly correlated electron models on a quantum computer, Phys. Rev. A 92, 062310 (2015), arXiv:1506.05135, 10.1103/​PhysRevA.92.062318.

[50] J. Olson, Y. Cao, J. Romero, P. Johnson, P.-L. Dallaire-Demers, N. Sawaya, P. Narang, I. Kivlichan, M. Wasielewski, A. Aspuru-Guzik, Quantum information and computation for chemistry, NSF Workshop Report, arXiv:1706.05413 (2017).

[51] H. Bernien, S. Schwartz, A. Keesling, H. Levine, A. Omran, H. Pichler, S. Choi, A. S. Zibrov, M. Endres, M. Greiner, V Vuletić, and M. D. Lukin, Probing many-body dynamics on a 51-atom quantum simulator, Nature 551, 579-584 (2017), arXiv:1707.04344, 10.1038/​nature24622.

[52] J. Zhang, G. Pagano, P. W. Hess, A. Kyprianidis, P. Becker, H. Kaplan, A. V. Gorshkov, Z.-X. Gong, and C. Monroe, Observation of a many-body dynamical phase transition with a 53-qubit quantum simulator, arXiv:1708.01044 (2017), 10.1038/​nature24654.

[53] E. T. Campbell, B. M. Terhal, and C. Vuillot, The steep road towards robust and universal quantum computation, arXiv:1612.07330 (2016).

[54] J. J. Wallman and J. Emerson, Noise tailoring for scalable quantum computation via randomized compiling, Phys. Rev. A 94, 052325 (2016), arXiv:1512:01098, 10.1103/​PhysRevA.94.052325.

[55] J. Combes, C. Granade, C. Ferrie, and S. T. Flammia, Logical randomized benchmarking, arXiv:1702.03688 (2017).

[56] A. G. Fowler, M. Mariantoni, J. M. Martinis, and A. N. Cleland, Surface codes: towards practical large-scale quantum computation, Phys. Rev. A 86, 032324 (2012), arXiv:1208.0928, 10.1103/​PhysRevA.86.032324.

[57] S. Das Sarma, M. Freedman, and C. Nayak, Majorana zero modes and topological quantum computation, npj Quantum Information 1, 15001 (2015), arXiv:1501.02813, 10.1038/​npjqi.2015.1.

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[2] Vojtěch Havlíček, Antonio D. Córcoles, Kristan Temme, Aram W. Harrow, Abhinav Kandala, Jerry M. Chow, and Jay M. Gambetta, "Supervised learning with quantum-enhanced feature spaces", Nature 567 7747, 209 (2019).

[3] Colin D. Bruzewicz, John Chiaverini, Robert McConnell, and Jeremy M. Sage, "Trapped-ion quantum computing: Progress and challenges", Applied Physics Reviews 6 2, 021314 (2019).

[4] Jarrod R. McClean, Sergio Boixo, Vadim N. Smelyanskiy, Ryan Babbush, and Hartmut Neven, "Barren plateaus in quantum neural network training landscapes", Nature Communications 9, 4812 (2018).

[5] Andrew W. Cross, Lev S. Bishop, Sarah Sheldon, Paul D. Nation, and Jay M. Gambetta, "Validating quantum computers using randomized model circuits", Physical Review A 100 3, 032328 (2019).

[6] Marcello Benedetti, Erika Lloyd, Stefan Sack, and Mattia Fiorentini, "Parameterized quantum circuits as machine learning models", Quantum Science and Technology 4 4, 043001 (2019).

[7] Abhinav Kandala, Kristan Temme, Antonio D. Córcoles, Antonio Mezzacapo, Jerry M. Chow, and Jay M. Gambetta, "Error mitigation extends the computational reach of a noisy quantum processor", Nature 567 7749, 491 (2019).

[8] Harper R. Grimsley, Sophia E. Economou, Edwin Barnes, and Nicholas J. Mayhall, "An adaptive variational algorithm for exact molecular simulations on a quantum computer", Nature Communications 10, 3007 (2019).

[9] Ken M. Nakanishi, Kosuke Mitarai, and Keisuke Fujii, "Subspace-search variational quantum eigensolver for excited states", Physical Review Research 1 3, 033062 (2019).

[10] Sergei Slussarenko and Geoff J. Pryde, "Photonic quantum information processing: A concise review", Applied Physics Reviews 6 4, 041303 (2019).

[11] Seth Lloyd and Christian Weedbrook, "Quantum Generative Adversarial Learning", Physical Review Letters 121 4, 040502 (2018).

[12] Andrew D. King, Juan Carrasquilla, Jack Raymond, Isil Ozfidan, Evgeny Andriyash, Andrew Berkley, Mauricio Reis, Trevor Lanting, Richard Harris, Fabio Altomare, Kelly Boothby, Paul I. Bunyk, Colin Enderud, Alexandre Fréchette, Emile Hoskinson, Nicolas Ladizinsky, Travis Oh, Gabriel Poulin-Lamarre, Christopher Rich, Yuki Sato, Anatoly Yu. Smirnov, Loren J. Swenson, Mark H. Volkmann, Jed Whittaker, Jason Yao, Eric Ladizinsky, Mark W. Johnson, Jeremy Hilton, and Mohammad H. Amin, "Observation of topological phenomena in a programmable lattice of 1,800 qubits", Nature 560 7719, 456 (2018).

[13] Pierre-Luc Dallaire-Demers and Nathan Killoran, "Quantum generative adversarial networks", Physical Review A 98 1, 012324 (2018).

[14] Victor V. Albert, Kyungjoo Noh, Kasper Duivenvoorden, Dylan J. Young, R. T. Brierley, Philip Reinhold, Christophe Vuillot, Linshu Li, Chao Shen, S. M. Girvin, Barbara M. Terhal, and Liang Jiang, "Performance and structure of single-mode bosonic codes", Physical Review A 97 3, 032346 (2018).

[15] Panagiotis Kl. Barkoutsos, Jerome F. Gonthier, Igor Sokolov, Nikolaj Moll, Gian Salis, Andreas Fuhrer, Marc Ganzhorn, Daniel J. Egger, Matthias Troyer, Antonio Mezzacapo, Stefan Filipp, and Ivano Tavernelli, "Quantum algorithms for electronic structure calculations: Particle-hole Hamiltonian and optimized wave-function expansions", Physical Review A 98 2, 022322 (2018).

[16] William A. Borders, Ahmed Z. Pervaiz, Shunsuke Fukami, Kerem Y. Camsari, Hideo Ohno, and Supriyo Datta, "Integer factorization using stochastic magnetic tunnel junctions", Nature 573 7774, 390 (2019).

[17] Yanzhu Chen, Maziar Farahzad, Shinjae Yoo, and Tzu-Chieh Wei, "Detector tomography on IBM quantum computers and mitigation of an imperfect measurement", Physical Review A 100 5, 052315 (2019).

[18] N. M. Linke, S. Johri, C. Figgatt, K. A. Landsman, A. Y. Matsuura, and C. Monroe, "Measuring the Rényi entropy of a two-site Fermi-Hubbard model on a trapped ion quantum computer", Physical Review A 98 5, 052334 (2018).

[19] G. G. Guerreschi and A. Y. Matsuura, "QAOA for Max-Cut requires hundreds of qubits for quantum speed-up", Scientific Reports 9, 6903 (2019).

[20] Edward Grant, Marcello Benedetti, Shuxiang Cao, Andrew Hallam, Joshua Lockhart, Vid Stojevic, Andrew G. Green, and Simone Severini, "Hierarchical quantum classifiers", npj Quantum Information 4, 65 (2018).

[21] J. Preskill, "Simulating quantum field theory with a quantum computer", The 36th Annual International Symposium on Lattice Field Theory. 22-28 July 24 (2018).

[22] Jianxin Chen, Fang Zhang, Cupjin Huang, Michael Newman, and Yaoyun Shi, "Classical Simulation of Intermediate-Size Quantum Circuits", arXiv:1805.01450, (2018).

[23] Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, and Dacheng Tao, "The Expressive Power of Parameterized Quantum Circuits", arXiv:1810.11922, (2018).

[24] Sam McArdle, Suguru Endo, Alan Aspuru-Guzik, Simon Benjamin, and Xiao Yuan, "Quantum computational chemistry", arXiv:1808.10402, (2018).

[25] Tameem Albash and Daniel A. Lidar, "Demonstration of a Scaling Advantage for a Quantum Annealer over Simulated Annealing", Physical Review X 8 3, 031016 (2018).

[26] Zhang Jiang, Kevin J. Sung, Kostyantyn Kechedzhi, Vadim N. Smelyanskiy, and Sergio Boixo, "Quantum Algorithms to Simulate Many-Body Physics of Correlated Fermions", Physical Review Applied 9 4, 044036 (2018).

[27] Guillaume Verdon, Jason Pye, and Michael Broughton, "A Universal Training Algorithm for Quantum Deep Learning", arXiv:1806.09729, (2018).

[28] Beni Yoshida and Norman Y. Yao, "Disentangling Scrambling and Decoherence via Quantum Teleportation", Physical Review X 9 1, 011006 (2019).

[29] Francesco A. Evangelista, Garnet Kin-Lic Chan, and Gustavo E. Scuseria, "Exact parameterization of fermionic wave functions via unitary coupled cluster theory", Journal of Chemical Physics 151 24, 244112 (2019).

[30] Kentaro Heya, Yasunari Suzuki, Yasunobu Nakamura, and Keisuke Fujii, "Variational Quantum Gate Optimization", arXiv:1810.12745, (2018).

[31] Thomas E. O'Brien, Brian Tarasinski, and Barbara M. Terhal, "Quantum phase estimation of multiple eigenvalues for small-scale (noisy) experiments", New Journal of Physics 21 2, 023022 (2019).

[32] Kazuki Ikeda, Yuma Nakamura, and Travis S. Humble, "Application of Quantum Annealing to Nurse Scheduling Problem", Scientific Reports 9, 12837 (2019).

[33] Bálint Joó, Chulwoo Jung, Norman H. Christ, William Detmold, Robert G. Edwards, Martin Savage, and Phiala Shanahan, "Status and future perspectives for lattice gauge theory calculations to the exascale and beyond", European Physical Journal A 55 11, 199 (2019).

[34] Xun Gao and Luming Duan, "Efficient classical simulation of noisy quantum computation", arXiv:1810.03176, (2018).

[35] Yudong Cao, Jonathan Romero, Jonathan P. Olson, Matthias Degroote, Peter D. Johnson, Mária Kieferová, Ian D. Kivlichan, Tim Menke, Borja Peropadre, Nicolas P. D. Sawaya, Sukin Sim, Libor Veis, and Alán Aspuru-Guzik, "Quantum Chemistry in the Age of Quantum Computing", arXiv:1812.09976, (2018).

[36] Eric R. Anschuetz, Jonathan P. Olson, Alán Aspuru-Guzik, and Yudong Cao, "Variational Quantum Factoring", arXiv:1808.08927, (2018).

[37] Mark Fingerhuth, Tomáš Babej, and Christopher Ing, "A quantum alternating operator ansatz with hard and soft constraints for lattice protein folding", arXiv:1810.13411, (2018).

[38] Agnes Valenti, Evert van Nieuwenburg, Sebastian Huber, and Eliska Greplova, "Hamiltonian learning for quantum error correction", Physical Review Research 1 3, 033092 (2019).

[39] Corentin Bertrand, Serge Florens, Olivier Parcollet, and Xavier Waintal, "Reconstructing Nonequilibrium Regimes of Quantum Many-Body Systems from the Analytical Structure of Perturbative Expansions", Physical Review X 9 4, 041008 (2019).

[40] Marek Pechal, Patricio Arrangoiz-Arriola, and Amir H. Safavi-Naeini, "Superconducting circuit quantum computing with nanomechanical resonators as storage", Quantum Science and Technology 4 1, 015006 (2019).

[41] Sebastien Piat, Nairi Usher, Simone Severini, Mark Herbster, Tommaso Mansi, and Peter Mountney, "Image classification with quantum pre-training and auto-encoders", International Journal of Quantum Information 16 8, 1840009-332 (2018).

[42] A. Garcia-Saez and J. I. Latorre, "Addressing hard classical problems with Adiabatically Assisted Variational Quantum Eigensolvers", arXiv:1806.02287, (2018).

[43] Maria Schuld and Nathan Killoran, "Quantum machine learning in feature Hilbert spaces", arXiv:1803.07128, (2018).

[44] Gushu Li, Yufei Ding, and Yuan Xie, "Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices", arXiv:1809.02573, (2018).

[45] Kübra Yeter-Aydeniz, Eugene F. Dumitrescu, Alex J. McCaskey, Ryan S. Bennink, Raphael C. Pooser, and George Siopsis, "Scalar quantum field theories as a benchmark for near-term quantum computers", Physical Review A 99 3, 032306 (2019).

[46] Zhong-Xiao Man, Yun-Jie Xia, and Rosario Lo Franco, "Temperature effects on quantum non-Markovianity via collision models", Physical Review A 97 6, 062104 (2018).

[47] Swamit S. Tannu and Moinuddin K. Qureshi, "A Case for Variability-Aware Policies for NISQ-Era Quantum Computers", arXiv:1805.10224, (2018).

[48] Michael Brooks, "Beyond quantum supremacy: the hunt for useful quantum computers", Nature 574 7776, 19 (2019).

[49] Marcello Benedetti, Edward Grant, Leonard Wossnig, and Simone Severini, "Adversarial quantum circuit learning for pure state approximation", New Journal of Physics 21 4, 043023 (2019).

[50] Javier Gil Vidal and Dirk Oliver Theis, "Calculus on parameterized quantum circuits", arXiv:1812.06323, (2018).

[51] Yiğit Subaşı, Lukasz Cincio, and Patrick J. Coles, "Entanglement spectroscopy with a depth-two quantum circuit", Journal of Physics A Mathematical General 52 4, 044001 (2019).

[52] Brian Swingle and Nicole Yunger Halpern, "Resilience of scrambling measurements", Physical Review A 97 6, 062113 (2018).

[53] Anne Matsuura, Sonika Johri, and Justin Hogaboam, "A systems perspective of quantum computing", Physics Today 72 3, 40 (2019).

[54] Ali Mortezapour and Rosario Lo Franco, "Protecting quantum resources via frequency modulation of qubits in leaky cavities", Scientific Reports 8, 14304 (2018).

[55] Zhang Jiang, Jarrod McClean, Ryan Babbush, and Hartmut Neven, "Majorana Loop Stabilizer Codes for Error Mitigation in Fermionic Quantum Simulations", Physical Review Applied 12 6, 064041 (2019).

[56] Jin-Guo Liu and Lei Wang, "Differentiable Learning of Quantum Circuit Born Machine", arXiv:1804.04168, (2018).

[57] Guglielmo Mazzola, Pauline J. Ollitrault, Panagiotis Kl. Barkoutsos, and Ivano Tavernelli, "Nonunitary Operations for Ground-State Calculations in Near-Term Quantum Computers", Physical Review Letters 123 13, 130501 (2019).

[58] C. M. Wilson, J. S. Otterbach, N. Tezak, R. S. Smith, A. M. Polloreno, Peter J. Karalekas, S. Heidel, M. Sohaib Alam, G. E. Crooks, and M. P. da Silva, "Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers", arXiv:1806.08321, (2018).

[59] Juan Miguel Arrazola, Thomas R. Bromley, and Patrick Rebentrost, "Quantum approximate optimization with Gaussian boson sampling", Physical Review A 98 1, 012322 (2018).

[60] Stefan Krastanov, Victor V. Albert, and Liang Jiang, "Optimized Entanglement Purification", Quantum 3, 123 (2019).

[61] Wolfgang Lechner, "Quantum Approximate Optimization with Parallelizable Gates", arXiv:1802.01157, (2018).

[62] Aniruddha Bapat and Stephen Jordan, "Bang-bang control as a design principle for classical and quantum optimization algorithms", arXiv:1812.02746, (2018).

[63] Ramis Movassagh, "Efficient unitary paths and quantum computational supremacy: A proof of average-case hardness of Random Circuit Sampling", arXiv:1810.04681, (2018).

[64] Jiayin Chen and Hendra I. Nurdin, "Learning nonlinear input-output maps with dissipative quantum systems", Quantum Information Processing 18 7, 198 (2019).

[65] Kostyantyn Kechedzhi, Vadim Smelyanskiy, Jarrod R. McClean, Vasil S. Denchev, Masoud Mohseni, Sergei Isakov, Sergio Boixo, Boris Altshuler, and Hartmut Neven, "Efficient population transfer via non-ergodic extended states in quantum spin glass", arXiv:1807.04792, (2018).

[66] Tameem Albash, Victor Martin-Mayor, and Itay Hen, "Analog errors in Ising machines", Quantum Science and Technology 4 2, 02LT03 (2019).

[67] Alexander McCaskey, Eugene Dumitrescu, Mengsu Chen, Dmitry Lyakh, and Travis Humble, "Validating quantum-classical programming models with tensor network simulations", PLoS ONE 13 12, e0206704 (2018).

[68] Kosuke Mitarai, Tennin Yan, and Keisuke Fujii, "Generalization of the Output of a Variational Quantum Eigensolver by Parameter Interpolation with a Low-depth Ansatz", Physical Review Applied 11 4, 044087 (2019).

[69] Cupjin Huang, Michael Newman, and Mario Szegedy, "Explicit lower bounds on strong quantum simulation", arXiv:1804.10368, (2018).

[70] Chungwei Lin, Yebin Wang, Grigory Kolesov, and Uroš Kalabić, "Application of Pontryagin's minimum principle to Grover's quantum search problem", Physical Review A 100 2, 022327 (2019).

[71] Zhenyu Cai and Simon C. Benjamin, "Constructing Smaller Pauli Twirling Sets for Arbitrary Error Channels", Scientific Reports 9, 11281 (2019).

[72] Andreas Hartmann and Wolfgang Lechner, "Quantum phase transition with inhomogeneous driving in the Lechner-Hauke-Zoller model", Physical Review A 100 3, 032110 (2019).

[73] Mingxia Huo and Ying Li, "Self-consistent tomography of temporally correlated errors", arXiv:1811.02734, (2018).

[74] Taewan Kim and Byung-Soo Choi, "Efficient decomposition methods for controlled-R<SUB>n</SUB> using a single ancillary qubit", Scientific Reports 8, 5445 (2018).

[75] Tony J. G. Apollaro, Guilherme M. A. Almeida, Salvatore Lorenzo, Alessandro Ferraro, and Simone Paganelli, "Spin chains for two-qubit teleportation", Physical Review A 100 5, 052308 (2019).

[76] James Stokes and John Terilla, "Probabilistic Modeling with Matrix Product States", Entropy 21 12, 1236 (2019).

[77] Pablo Andrés-Martínez and Chris Heunen, "Automated distribution of quantum circuits via hypergraph partitioning", Physical Review A 100 3, 032308 (2019).

[78] Zhang Jiang, Kevin J. Sung, Kostyantyn Kechedzhi, Vadim N. Smelyanskiy, and Sergio Boixo, "Quantum algorithms to simulate many-body physics of correlated fermions", arXiv:1711.05395, (2017).

[79] Sam Morley-Short, Mercedes Gimeno-Segovia, Terry Rudolph, and Hugo Cable, "Loss-tolerant teleportation on large stabilizer states", Quantum Science and Technology 4 2, 025014 (2019).

[80] Juan Carrasquilla, Giacomo Torlai, Roger G. Melko, and Leandro Aolita, "Reconstructing quantum states with generative models", arXiv:1810.10584, (2018).

[81] Eric R. Anschuetz and Cristian Zanoci, "Near-term quantum-classical associative adversarial networks", Physical Review A 100 5, 052327 (2019).

[82] Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Ilya Safro, Susan Mniszewski, and Yuri Alexeev, "Community Detection Across Emerging Quantum Architectures", arXiv:1810.07765, (2018).

[83] Xi Chen, Bin Cheng, Zhaokai Li, Xinfang Nie, Nengkun Yu, Man-Hong Yung, and Xinhua Peng, "Experimental Cryptographic Verification for Near-Term Quantum Cloud Computing", arXiv:1808.07375, (2018).

[84] Keisuke Fujii, "Quantum speedup in stoquastic adiabatic quantum computation", arXiv:1803.09954, (2018).

[85] Suguru Endo, Qi Zhao, Ying Li, Simon Benjamin, and Xiao Yuan, "Mitigating algorithmic errors in Hamiltonian simulation", arXiv:1808.03623, (2018).

[86] Hai-Jin Ding and Re-Bing Wu, "Robust quantum control against clock noises in multiqubit systems", Physical Review A 100 2, 022302 (2019).

[87] Alwin Zulehner and Robert Wille, "Compiling SU(4) Quantum Circuits to IBM QX Architectures", arXiv:1808.05661, (2018).

[88] Cristian S. Calude and Elena Calude, "The Road to Quantum Computational Supremacy", arXiv:1712.01356, (2017).

[89] Ciarán Ryan-Anderson, "Quantum Algorithms, Architecture, and Error Correction", arXiv:1812.04735, (2018).

[90] Ning Bao and Junyu Liu, "Quantum algorithms for conformal bootstrap", Nuclear Physics B 946, 114702 (2019).

[91] Clemens Dlaska, Lukas M. Sieberer, and Wolfgang Lechner, "Designing ground states of Hopfield networks for quantum state preparation", Physical Review A 99 3, 032342 (2019).

[92] Dorit Aharonov and Leo Zhou, "Hamiltonian sparsification and gap-simulations", arXiv:1804.11084, (2018).

[93] Daniel C. Murphy and Kenneth R. Brown, "Controlling error orientation to improve quantum algorithm success rates", Physical Review A 99 3, 032318 (2019).

[94] Kyle Cormier, Riccardo Di Sipio, and Peter Wittek, "Unfolding measurement distributions via quantum annealing", Journal of High Energy Physics 2019 11, 128 (2019).

[95] Sergey Novikov, Robert Hinkey, Steven Disseler, James I. Basham, Tameem Albash, Andrew Risinger, David Ferguson, Daniel A. Lidar, and Kenneth M. Zick, "Exploring More-Coherent Quantum Annealing", arXiv:1809.04485, (2018).

[96] Neal Solmeyer, Norbert M. Linke, Caroline Figgatt, Kevin A. Landsman, Radhakrishnan Balu, George Siopsis, and C. Monroe, "Demonstration of a Bayesian quantum game on an ion-trap quantum computer", Quantum Science and Technology 3 4, 045002 (2018).

[97] Karthik Chinni, Pablo Poggi, and Ivan Deutsch, "Reliable Analog Quantum Simulation and Quantum Complexity", APS March Meeting Abstracts 2019, C42.011 (2019).

[98] Subhayan Sahu and Shasanka M. Roy, "Maximal entanglement and state transfer using Arthurs-Kelly type interaction for qubits", European Physical Journal D 72 12, 211 (2018).

[99] Koen Groenland and Kareljan Schoutens, "Quantum gates by resonantly driving many-body eigenstates, with a focus on Polychronakos’ model", Journal of Statistical Mechanics: Theory and Experiment 7 7, 073103 (2019).

[100] Eyal Bairey, Itai Arad, and Netanel H. Lindner, "Learning a local Hamiltonian from local measurements", arXiv:1807.04564, (2018).

[101] Marina Radulaski, Jingyuan Linda Zhang, Yan-Kai Tzeng, Konstantinos G. Lagoudakis, Hitoshi Ishiwata, Constantin Dory, Kevin A. Fischer, Yousif A. Kelaita, Shuo Sun, Peter C. Maurer, Kassem Alassaad, Gabriel Ferro, Zhi-Xun Shen, Nicholas Melosh, Steven Chu, and Jelena Vučković, "Nanodiamond integration with photonic devices", arXiv:1610.03183, (2016).

[102] X. Fu, L. Riesebos, M. A. Rol, J. van Straten, J. van Someren, N. Khammassi, I. Ashraf, R. F. L. Vermeulen, V. Newsum, K. K. L. Loh, J. C. de Sterke, W. J. Vlothuizen, R. N. Schouten, C. G. Almudever, L. DiCarlo, and K. Bertels, "eQASM: An Executable Quantum Instruction Set Architecture", arXiv:1808.02449, (2018).

[103] Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Ilya Safro, Susan Mniszewski, and Yuri Alexeev, "Network Community Detection On Small Quantum Computers", arXiv:1810.12484, (2018).

[104] R. C. Wiersema and H. J. Kappen, "Implementing perceptron models with qubits", Physical Review A 100 2, 020301 (2019).

[105] Yosi Atia, Yonathan Oren, and Nadav Katz, "Robust Diabatic Grover Search by Landau-Zener-Stückelberg Oscillations", Entropy 21 10, 937 (2019).

[106] Syed Junaid Nawaz, Shree Krishna Sharma, Shurjeel Wyne, Mohammad N. Patwary, and Md. Asaduzzaman, "Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future", IEEE Access 7, 46317 (2019).

[107] Jacob D. Biamonte, Pavel Dorozhkin, and Igor Zacharov, "Keep quantum computing global and open", Nature 573 7773, 190 (2019).

[108] Stefan Krastanov, Victor V. Albert, and Liang Jiang, "Optimized Entanglement Purification", arXiv:1712.09762, (2017).

[109] David P. Franke, James S. Clarke, Lieven M. K. Vandersypen, and Menno Veldhorst, "Rent's rule and extensibility in quantum computing", arXiv:1806.02145, (2018).

[110] Zhi-Yuan Li, Hai-Feng Yu, Xin-Sheng Tan, Shi-Ping Zhao, and Yang Yu, "Manipulation of superconducting qubit with direct digital synthesis", Chinese Physics B 28 9, 098505 (2019).

[111] Quntao Zhuang and Zheshen Zhang, "Physical-Layer Supervised Learning Assisted by an Entangled Sensor Network", Physical Review X 9 4, 041023 (2019).

[112] Asif Shakeel, "Neighborhood-history quantum walk", Physica Scripta 94 6, 065207 (2019).

[113] Yuxuan Du, Tongliang Liu, and Dacheng Tao, "Bayesian Quantum Circuit", arXiv:1805.11089, (2018).

[114] Mohammad H. Ansari, "Exact quantization of superconducting circuits", arXiv:1807.00792, (2018).

[115] Mark B. Ritter, "Near-term Quantum Algorithms for Quantum Many-body Systems", Journal of Physics Conference Series 1290 1, 012003 (2019).

[116] Xavier Waintal, "What determines the ultimate precision of a quantum computer?", arXiv:1702.07688, (2017).

[117] V. O. Shkolnikov and Guido Burkard, "Effective Hamiltonian theory of the geometric evolution of quantum systems", arXiv:1810.00193, (2018).

[118] Shihao Zhang, Pengyun Li, Bo Wang, Qiang Zeng, and Xiangdong Zhang, "Implementation of quantum permutation algorithm with classical light", Journal of Physics Communications 3 1, 015008 (2019).

[119] S. V. Remizov, A. A. Zhukov, W. V. Pogosov, and Yu E. Lozovik, "Radiation trapping effect versus superradiance in quantum simulation of light-matter interaction", Laser Physics Letters 16 6, 065205 (2019).

[120] Damian S. Steiger, Thomas Häner, and Matthias Troyer, "Advantages of a modular high-level quantum programming framework", arXiv:1806.01861, (2018).

[121] Patrick Rall, "Simulating Quantum Circuits by Shuffling Paulis", arXiv:1804.05404, (2018).

[122] Yongshan Ding, Adam Holmes, Ali Javadi-Abhari, Diana Franklin, Margaret Martonosi, and Frederic T. Chong, "Magic-State Functional Units: Mapping and Scheduling Multi-Level Distillation Circuits for Fault-Tolerant Quantum Architectures", arXiv:1809.01302, (2018).

[123] Johannes S. Otterbach, "Optimizing Variational Quantum Circuits using Evolution Strategies", arXiv:1806.04344, (2018).

[124] Stefano Gandolfi, "Cloud Quantum Computing Tackles Simple Nucleus", Physics Online Journal 11, 51 (2018).

[125] Shusen Liu, Yinan Li, and Runyao Duan, "Distinguishing Unitary Gates on the IBM Quantum Processor", arXiv:1807.00429, (2018).

[126] Hsin-Yuan Huang, Richard Kueng, and John Preskill, "Predicting many properties of a quantum system from very few measurements", Nature Physics 16 10, 1050 (2020).

[127] Maria Schuld, Alex Bocharov, Krysta M. Svore, and Nathan Wiebe, "Circuit-centric quantum classifiers", Physical Review A 101 3, 032308 (2020).

[128] Oscar Higgott, Daochen Wang, and Stephen Brierley, "Variational Quantum Computation of Excited States", Quantum 3, 156 (2019).

[129] Sumeet Khatri, Ryan LaRose, Alexander Poremba, Lukasz Cincio, Andrew T. Sornborger, and Patrick J. Coles, "Quantum-assisted quantum compiling", Quantum 3, 140 (2019).

[130] Ken X. Wei, Isaac Lauer, Srikanth Srinivasan, Neereja Sundaresan, Douglas T. McClure, David Toyli, David C. McKay, Jay M. Gambetta, and Sarah Sheldon, "Verifying multipartite entangled Greenberger-Horne-Zeilinger states via multiple quantum coherences", Physical Review A 101 3, 032343 (2020).

[131] Sergey Bravyi, Dan Browne, Padraic Calpin, Earl Campbell, David Gosset, and Mark Howard, "Simulation of quantum circuits by low-rank stabilizer decompositions", Quantum 3, 181 (2019).

[132] Kunal Sharma, Sumeet Khatri, M. Cerezo, and Patrick J. Coles, "Noise resilience of variational quantum compiling", New Journal of Physics 22 4, 043006 (2020).

[133] Nathan Killoran, Josh Izaac, Nicolás Quesada, Ville Bergholm, Matthew Amy, and Christian Weedbrook, "Strawberry Fields: A Software Platform for Photonic Quantum Computing", Quantum 3, 129 (2019).

[134] Ling Hu, Shu-Hao Wu, Weizhou Cai, Yuwei Ma, Xianghao Mu, Yuan Xu, Haiyan Wang, Yipu Song, Dong-Ling Deng, Chang-Ling Zou, and Luyan Sun, "Quantum generative adversarial learning in a superconducting quantum circuit", Science Advances 5 1, eaav2761 (2019).

[135] Gavin E. Crooks, "Gradients of parameterized quantum gates using the parameter-shift rule and gate decomposition", arXiv:1905.13311, (2019).

[136] Guillaume Verdon, Michael Broughton, Jarrod R. McClean, Kevin J. Sung, Ryan Babbush, Zhang Jiang, Hartmut Neven, and Masoud Mohseni, "Learning to learn with quantum neural networks via classical neural networks", arXiv:1907.05415, (2019).

[137] Andrew Zhao, Andrew Tranter, William M. Kirby, Shu Fay Ung, Akimasa Miyake, and Peter J. Love, "Measurement reduction in variational quantum algorithms", Physical Review A 101 6, 062322 (2020).

[138] Bryan O'Gorman, William J. Huggins, Eleanor G. Rieffel, and K. Birgitta Whaley, "Generalized swap networks for near-term quantum computing", arXiv:1905.05118, (2019).

[139] Andre He, Benjamin Nachman, Wibe A. de Jong, and Christian W. Bauer, "Zero-noise extrapolation for quantum-gate error mitigation with identity insertions", Physical Review A 102 1, 012426 (2020).

[140] Olivier Pfister, "Continuous-variable quantum computing in the quantum optical frequency comb", Journal of Physics B Atomic Molecular Physics 53 1, 012001 (2020).

[141] Sabrina S. Hong, Alexander T. Papageorge, Prasahnt Sivarajah, Genya Crossman, Nicolas Didier, Anthony M. Polloreno, Eyob A. Sete, Stefan W. Turkowski, Marcus P. da Silva, and Blake R. Johnson, "Demonstration of a parametrically activated entangling gate protected from flux noise", Physical Review A 101 1, 012302 (2020).

[142] V. Kaushal, B. Lekitsch, A. Stahl, J. Hilder, D. Pijn, C. Schmiegelow, A. Bermudez, M. Müller, F. Schmidt-Kaler, and U. Poschinger, "Shuttling-based trapped-ion quantum information processing", AVS Quantum Science 2 1, 014101 (2020).

[143] Jonathan Romero and Alan Aspuru-Guzik, "Variational quantum generators: Generative adversarial quantum machine learning for continuous distributions", arXiv:1901.00848, (2019).

[144] Eyal Bairey, Chu Guo, Dario Poletti, Netanel H. Lindner, and Itai Arad, "Learning the dynamics of open quantum systems from their steady states", New Journal of Physics 22 3, 032001 (2020).

[145] Aram Harrow and John Napp, "Low-depth gradient measurements can improve convergence in variational hybrid quantum-classical algorithms", arXiv:1901.05374, (2019).

[146] Natalie Klco and Martin J. Savage, "Minimally entangled state preparation of localized wave functions on quantum computers", Physical Review A 102 1, 012612 (2020).

[147] Mark Hodson, Brendan Ruck, Hugh Ong, David Garvin, and Stefan Dulman, "Portfolio rebalancing experiments using the Quantum Alternating Operator Ansatz", arXiv:1911.05296, (2019).

[148] Wolfgang Niedenzu, Marcus Huber, and Erez Boukobza, "Concepts of work in autonomous quantum heat engines", Quantum 3, 195 (2019).

[149] Carlos Bravo-Prieto, Diego García-Martín, and José I. Latorre, "Quantum singular value decomposer", Physical Review A 101 6, 062310 (2020).

[150] Danijela Marković and Julie Grollier, "Quantum neuromorphic computing", Applied Physics Letters 117 15, 150501 (2020).

[151] Ramis Movassagh, "Quantum supremacy and random circuits", arXiv:1909.06210, (2019).

[152] Matthew Otten and Stephen K. Gray, "Accounting for errors in quantum algorithms via individual error reduction", npj Quantum Information 5, 11 (2019).

[153] Nai-Hui Chia, András Gilyén, Tongyang Li, Han-Hsuan Lin, Ewin Tang, and Chunhao Wang, "Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning", arXiv:1910.06151, (2019).

[154] Natalie Klco and Martin J. Savage, "Systematically localizable operators for quantum simulations of quantum field theories", Physical Review A 102 1, 012619 (2020).

[155] Ian C. Cloët, Matthew R. Dietrich, John Arrington, Alexei Bazavov, Michael Bishof, Adam Freese, Alexey V. Gorshkov, Anna Grassellino, Kawtar Hafidi, Zubin Jacob, Michael McGuigan, Yannick Meurice, Zein-Eddine Meziani, Peter Mueller, Christine Muschik, James Osborn, Matthew Otten, Peter Petreczky, Tomas Polakovic, Alan Poon, Raphael Pooser, Alessandro Roggero, Mark Saffman, Brent VanDevender, Jiehang Zhang, and Erez Zohar, "Opportunities for Nuclear Physics & Quantum Information Science", arXiv:1903.05453, (2019).

[156] Sumsam Ullah Khan, Ahsan Javed Awan, and Gemma Vall-Llosera, "K-Means Clustering on Noisy Intermediate Scale Quantum Computers", arXiv:1909.12183, (2019).

[157] L. C. G. Govia, G. J. Ribeill, D. Ristè, M. Ware, and H. Krovi, "Bootstrapping quantum process tomography via a perturbative ansatz", Nature Communications 11, 1084 (2020).

[158] Kun Zhang and Vladimir E. Korepin, "Depth optimization of quantum search algorithms beyond Grover's algorithm", Physical Review A 101 3, 032346 (2020).

[159] Salonik Resch and Ulya R. Karpuzcu, "Quantum Computing: An Overview Across the System Stack", arXiv:1905.07240, (2019).

[160] Nana Liu and Peter Wittek, "Vulnerability of quantum classification to adversarial perturbations", Physical Review A 101 6, 062331 (2020).

[161] A. Roggero, "Spectral-density estimation with the Gaussian integral transform", Physical Review A 102 2, 022409 (2020).

[162] Karol Bartkiewicz, Clemens Gneiting, Antonín Černoch, Kateřina Jiráková, Karel Lemr, and Franco Nori, "Experimental kernel-based quantum machine learning in finite feature space", Scientific Reports 10, 12356 (2020).

[163] Dan-Bo Zhang and Tao Yin, "Collective optimization for variational quantum eigensolvers", Physical Review A 101 3, 032311 (2020).

[164] Miroslav Urbanek, Benjamin Nachman, and Wibe A. de Jong, "Error detection on quantum computers improving the accuracy of chemical calculations", Physical Review A 102 2, 022427 (2020).

[165] Deanna M. Abrams, Nicolas Didier, Blake R. Johnson, Marcus P. da Silva, and Colm A. Ryan, "Implementation of the XY interaction family with calibration of a single pulse", arXiv:1912.04424, (2019).

[166] Daniel Claudino, Jerimiah Wright, Alexander J. McCaskey, and Travis S. Humble, "Benchmarking Adaptive Variational Quantum Eigensolvers", Frontiers in Chemistry 8, 1152 (2020).

[167] Amritesh Sharma and Ashwin A. Tulapurkar, "Generation of n -qubit W states using spin torque", Physical Review A 101 6, 062330 (2020).

[168] Shin Nishio, Yulu Pan, Takahiko Satoh, Hideharu Amano, and Rodney Van Meter, "Extracting Success from IBM's 20-Qubit Machines Using Error-Aware Compilation", arXiv:1903.10963, (2019).

[169] Nathan Wiebe, "Key questions for the quantum machine learner to ask themselves", New Journal of Physics 22 9, 091001 (2020).

[170] Jin-Min Liang, Shu-Qian Shen, Ming Li, and Lei Li, "Variational quantum algorithms for dimensionality reduction and classification", Physical Review A 101 3, 032323 (2020).

[171] Laszlo Gyongyosi and Sandor Imre, "Optimizing High-Efficiency Quantum Memory with Quantum Machine Learning for Near-Term Quantum Devices", Scientific Reports 10, 135 (2020).

[172] Shouvanik Chakrabarti, Yiming Huang, Tongyang Li, Soheil Feizi, and Xiaodi Wu, "Quantum Wasserstein Generative Adversarial Networks", arXiv:1911.00111, (2019).

[173] Young-Hyun Oh, Hamed Mohammadbagherpoor, Patrick Dreher, Anand Singh, Xianqing Yu, and Andy J. Rindos, "Solving Multi-Coloring Combinatorial Optimization Problems Using Hybrid Quantum Algorithms", arXiv:1911.00595, (2019).

[174] Luca Innocenti, Leonardo Banchi, Alessandro Ferraro, Sougato Bose, and Mauro Paternostro, "Supervised learning of time-independent Hamiltonians for gate design", New Journal of Physics 22 6, 065001 (2020).

[175] Lingling Lao and Carmen G. Almudever, "Fault-tolerant quantum error correction on near-term quantum processors using flag and bridge qubits", Physical Review A 101 3, 032333 (2020).

[176] Omar Shehab, Isaac H. Kim, Nhung H. Nguyen, Kevin Landsman, Cinthia H. Alderete, Daiwei Zhu, C. Monroe, and Norbert M. Linke, "Noise reduction using past causal cones in variational quantum algorithms", arXiv:1906.00476, (2019).

[177] Samuel A. Wilkinson and Michael J. Hartmann, "Superconducting quantum many-body circuits for quantum simulation and computing", Applied Physics Letters 116 23, 230501 (2020).

[178] Kanav Setia, Richard Chen, Julia E. Rice, Antonio Mezzacapo, Marco Pistoia, and James Whitfield, "Reducing qubit requirements for quantum simulation using molecular point group symmetries", arXiv:1910.14644, (2019).

[179] Tongyang Li, Shouvanik Chakrabarti, and Xiaodi Wu, "Sublinear quantum algorithms for training linear and kernel-based classifiers", arXiv:1904.02276, (2019).

[180] Jelmer J. Renema, "Simulability of partially distinguishable superposition and Gaussian boson sampling", Physical Review A 101 6, 063840 (2020).

[181] Nai-Hui Chia, Tongyang Li, Han-Hsuan Lin, and Chunhao Wang, "Quantum-inspired sublinear algorithm for solving low-rank semidefinite programming", arXiv:1901.03254, (2019).

[182] Peter Svihra, Yingwen Zhang, Paul Hockett, Steven Ferrante, Benjamin Sussman, Duncan England, and Andrei Nomerotski, "Multivariate discrimination in quantum target detection", Applied Physics Letters 117 4, 044001 (2020).

[183] Samuel Yen-Chi Chen, Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, and Hsi-Sheng Goan, "Variational Quantum Circuits for Deep Reinforcement Learning", IEEE Access 8, 141007 (2020).

[184] H. J. Kappen, "Learning quantum models from quantum or classical data", Journal of Physics A Mathematical General 53 21, 214001 (2020).

[185] Piotr Szańkowski and Łukasz Cywiński, "Noise representations of open system dynamics", Scientific Reports 10, 22189 (2020).

[186] Frederic Bapst, Wahid Bhimji, Paolo Calafiura, Heather Gray, Wim Lavrijsen, and Lucy Linder, "A pattern recognition algorithm for quantum annealers", arXiv:1902.08324, (2019).

[187] Prakash Murali, Norbert Matthias Linke, Margaret Martonosi, Ali Javadi Abhari, Nhung Hong Nguyen, and Cinthia Huerta Alderete, "Full-Stack, Real-System Quantum Computer Studies: Architectural Comparisons and Design Insights", arXiv:1905.11349, (2019).

[188] Yuxuan Du, Min-Hsiu Hsieh, and Dacheng Tao, "Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications", arXiv:1904.09602, (2019).

[189] David Amaro, Markus Müller, and Amit Kumar Pal, "Scalable characterization of localizable entanglement in noisy topological quantum codes", New Journal of Physics 22 5, 053038 (2020).

[190] Hiroaki Wakamura and Tatsuhiko Koike, "A general formulation of time-optimal quantum control and optimality of singular protocols", New Journal of Physics 22 7, 073010 (2020).

[191] Daniel Koch, Brett Martin, Saahil Patel, Laura Wessing, and Paul M. Alsing, "Demonstrating NISQ era challenges in algorithm design on IBM's 20 qubit quantum computer", AIP Advances 10 9, 095101 (2020).

[192] Valentin Torggler, Philipp Aumann, Helmut Ritsch, and Wolfgang Lechner, "A Quantum N-Queens Solver", Quantum 3, 149 (2019).

[193] Abdullah Ash Saki, Mahabubul Alam, and Swaroop Ghosh, "Study of Decoherence in Quantum Computers: A Circuit-Design Perspective", arXiv:1904.04323, (2019).

[194] Rongxin Xia and Sabre Kais, "Hybrid Quantum-Classical Neural Network for Calculating Ground State Energies of Molecules", Entropy 22 8, 828 (2020).

[195] Loïc Henriet, "Robustness to spontaneous emission of a variational quantum algorithm", Physical Review A 101 1, 012335 (2020).

[196] Gushu Li, Yufei Ding, and Yuan Xie, "SANQ: A Simulation Framework for Architecting Noisy Intermediate-Scale Quantum Computing System", arXiv:1904.11590, (2019).

[197] V. S. Shchesnovich, "On the classical complexity of sampling from quantum interference of indistinguishable bosons", International Journal of Quantum Information 18 7, 2050044-458 (2020).

[198] Seth Lloyd and Reevu Maity, "Efficient implementation of unitary transformations", arXiv:1901.03431, (2019).

[199] Ruslan Shaydulin, Ilya Safro, and Jeffrey Larson, "Multistart Methods for Quantum Approximate Optimization", arXiv:1905.08768, (2019).

[200] Siddhartha Das, "Bipartite Quantum Interactions: Entangling and Information Processing Abilities", arXiv:1901.05895, (2019).

[201] Narayanan Rengaswamy, Robert Calderbank, Swanand Kadhe, and Henry D. Pfister, "Logical Clifford Synthesis for Stabilizer Codes", arXiv:1907.00310, (2019).

[202] Sumeru Hazra, Kishor V. Salunkhe, Anirban Bhattacharjee, Gaurav Bothara, Suman Kundu, Tanay Roy, Meghan P. Patankar, and R. Vijay, "Engineering cross resonance interaction in multi-modal quantum circuits", Applied Physics Letters 116 15, 152601 (2020).

[203] Hamed Mohammadbagherpoor, Young-Hyun Oh, Patrick Dreher, Anand Singh, Xianqing Yu, and Andy J. Rindos, "An Improved Implementation Approach for Quantum Phase Estimation on Quantum Computers", arXiv:1910.11696, (2019).

[204] Teppei Suzuki and Michio Katouda, "Predicting toxicity by quantum machine learning", Journal of Physics Communications 4 12, 125012 (2020).

[205] Peyman Givi, Andrew J. Daley, Dimitri Mavriplis, and Mujeeb Malik, "Quantum Speedup for Aeroscience and Engineering", AIAA Journal 58 8, 3715 (2020).

[206] Travis L. Scholten, Yi-Kai Liu, Kevin Young, and Robin Blume-Kohout, "Classifying single-qubit noise using machine learning", arXiv:1908.11762, (2019).

[207] K. Bertels, A. Sarkar, A. A. Mouedenne, T. Hubregtsen, A. Yadav, A. Krol, and I. Ashraf, "Quantum Computer Architecture: Towards Full-Stack Quantum Accelerators", arXiv:1903.09575, (2019).

[208] Josu Etxezarreta Martinez, Patricio Fuentes, Pedro M. Crespo, and J. Garcia-Frias, "Approximating Decoherence Processes for the Design and Simulation of Quantum Error Correction Codes on Classical Computers", IEEE Access 8, 172623 (2020).

[209] Juan Ignacio Cirac, "Quantum computing and simulation", Nanophotonics 10 1, 351 (2020).

[210] Wesley C. Campbell, "Certified quantum gates", Physical Review A 102 2, 022426 (2020).

[211] Toshinari Itoko, Rudy Raymond, Takashi Imamichi, and Atsushi Matsuo, "Optimization of Quantum Circuit Mapping using Gate Transformation and Commutation", arXiv:1907.02686, (2019).

[212] P. A. M. Casares and M. A. Martin-Delgado, "A quantum interior-point predictor-corrector algorithm for linear programming", Journal of Physics A Mathematical General 53 44, 445305 (2020).

[213] Akshaya Jayashankar, Anjala M. Babu, Hui Khoon Ng, and Prabha Mandayam, "Finding good quantum codes using the Cartan form", Physical Review A 101 4, 042307 (2020).

[214] Alexandru Paler, "SurfBraid: A concept tool for preparing and resource estimating quantum circuits protected by the surface code", arXiv:1902.02417, (2019).

[215] Yuta Matsuzawa and Yuki Kurashige, "A Jastrow-type decomposition in quantum chemistry for low-depth quantum circuits", arXiv:1909.12410, (2019).

[216] Karol Horodecki and Maciej Stankiewicz, "Semi-device-independent quantum money", New Journal of Physics 22 2, 023007 (2020).

[217] Elena Egorova, Gleb Fedorov, Ivan Tsitsilin, Ilya Besedin, and Alexey Ustinov, "Analog Ising chain simulation with transmons", American Institute of Physics Conference Series 2241 1, 020013 (2020).

[218] Yifeng Xiong, Daryus Chandra, Soon Xin Ng, and Lajos Hanzo, "Sampling Overhead Analysis of Quantum Error Mitigation: Uncoded vs. Coded Systems", IEEE Access 8, 228967 (2020).

[219] Changjun Kim, Kyungdeock Daniel Park, and June-Koo Rhee, "Quantum Error Mitigation With Artificial Neural Network", IEEE Access 8, 188853 (2020).

[220] Tariq M. Khan and Antonio Robles-Kelly, "Machine Learning: Quantum vs Classical", IEEE Access 8, 219275 (2020).

[221] V. E. Zobov and I. S. Pichkovskiy, "Sequences of selective rotation operators to engineer interactions for quantum annealing on three qutrits", International Conference on Micro- and Nano-Electronics 2018 11022, 110222V (2019).

[222] Naeimeh Mohseni, Marek Narozniak, Alexey N. Pyrkov, Valentin Ivannikov, Jonathan P. Dowling, and Tim Byrnes, "Error suppression in adiabatic quantum computing with qubit ensembles", arXiv:1909.09947, (2019).

[223] Hammam Qassim, Joel J. Wallman, and Joseph Emerson, "Clifford recompilation for faster classical simulation of quantum circuits", Quantum 3, 170 (2019).

[224] Haozhen Situ and Zhimin He, "Machine learning distributions of quantum ansatz with hierarchical structure", International Journal of Modern Physics B 34 20, 2050196-3746 (2020).

[225] Pragati Gupta and C. M. Chandrashekar, "Digital quantum simulation framework for energy transport in an open quantum system", New Journal of Physics 22 12, 123027 (2020).

[226] V. O. Shkolnikov and Guido Burkard, "Effective Hamiltonian theory of the geometric evolution of quantum systems", Physical Review A 101 4, 042101 (2020).

[227] L. C. G. Govia, D. Bunandar, J. Lin, D. Englund, N. Lütkenhaus, and H. Krovi, "Clifford-group-restricted eavesdroppers in quantum key distribution", Physical Review A 101 6, 062318 (2020).

[228] Prakash Murali, Ali Javadi-Abhari, Frederic T. Chong, and Margaret Martonosi, "Formal Constraint-based Compilation for Noisy Intermediate-Scale Quantum Systems", arXiv:1903.03276, (2019).

[229] Koen Groenland, Carla Groenland, and Reinier Kramer, "Stimulated Raman adiabatic passage-like protocols for amplitude transfer generalize to many bipartite graphs", Journal of Mathematical Physics 61 7, 072201 (2020).

[230] Jelmer J. Renema, "Simulability of Imperfect Gaussian and Superposition Boson Sampling", arXiv:1911.10112, (2019).

[231] Chang Liu, "Reverse Checking of Quantum Algorithm Execution", IEEE Access 8, 228702 (2020).

[232] Ohood Saud Althobaiti and Mischa Dohler, "Cybersecurity Challenges Associated With the Internet of Things in a Post-Quantum World", IEEE Access 8, 157356 (2020).

[233] Shota Iizuka, Hidehiro Asai, Kimihiko Kato, Junichi Hattori, Koichi Fukuda, and Takahiro Mori, "Mechanism of extraordinary gate-length dependence of quantum dot operation in isoelectronic-trap-assisted tunnel FETs", Applied Physics Express 13 11, 114001 (2020).

[234] Shota Iizuka, Hidehiro Asai, Junichi Hattori, Koichi Fukuda, and Takahiro Mori, "Implementation of Coulomb blockade transport on a semiconductor device simulator and its application to tunnel-FET-based quantum dot devices", Japanese Journal of Applied Physics 59, SIIE02 (2020).

[235] Seung-Woo Lee, Jaewan Kim, and Wonmin Son, "Noise-adaptive test of quantum correlations with quasiprobability functions", Physical Review A 102 1, 012408 (2020).

[236] Laszlo Gyongyosi and Sandor Imre, "Resource prioritization and balancing for the quantum internet", Scientific Reports 10, 22390 (2020).

[237] Ajinkya Borle and Josh McCarter, "On Post-Processing the Results of Quantum Optimizers", arXiv:1905.13107, (2019).

[238] F. Tacchino, A. Chiesa, M. D. LaHaye, I. Tavernelli, S. Carretta, and D. Gerace, "Digital Quantum Simulations of Spin Models on Hybrid Platform and Near-Term Quantum Processors", arXiv:1902.04971, (2019).

[239] Daniel Vert, Renaud Sirdey, and Stéphane Louise, "Revisiting old combinatorial beasts in the quantum age: quantum annealing versus maximal matching", arXiv:1910.05129, (2019).

[240] Kelvin Loh, "Fairness evaluation during the conceptual design of heat grids with quantum annealers", arXiv:1910.09929, (2019).

[241] Adam Holmes, Yongshan Ding, Ali Javadi-Abhari, Diana Franklin, Margaret Martonosi, and Frederic T. Chong, "Resource Optimized Quantum Architectures for Surface Code Implementations of Magic-State Distillation", arXiv:1904.11528, (2019).

[242] Rosie Cane, Daryus Chandra, Soon Xin Ng, and Lajos Hanzo, "Mitigation of Decoherence-Induced Quantum-Bit Errors and Quantum-Gate Errors Using Steane's Code", IEEE Access 8, 83693 (2020).

[243] Rozhin Eskandarpour, Kumar Jang Bahadur Ghosh, Amin Khodaei, Aleksi Paaso, and Liuxi Zhang, "Quantum-Enhanced Grid of the Future: A Primer", IEEE Access 8, 188993 (2020).

[244] Rosie Cane, Daryus Chandra, Soon Xin Ng, and Lajos Hanzo, "Gate-Error-Resilient Quantum Steane Codes", IEEE Access 8, 179346 (2020).

[245] Seiichiro Tani and Yasuhiro Takahashi, "Development of Fast Quantum Algorithms", IEICE ESS Fundamentals Review 14 1, 15 (2020).

[246] Ruslan Shaydulin, Caleb Thomas, and Paige Rodeghero, "Making Quantum Computing Open: Lessons from Open-Source Projects", arXiv:1902.00991, (2019).

[247] David W. Kribs, Ningping Cao, Chi-Kwong Li, Yiu-Tung Poon, Bei Zeng, and Mike Nelson, "Higher Rank Matricial Ranges and Hybrid Quantum Error Correction", arXiv:1911.12744, (2019).

[248] Ryan Bennink, Ajay Jasra, Kody J. H. Law, and Pavel Lougovski, "Estimation and uncertainty quantification for the output from quantum simulators", arXiv:1903.02964, (2019).

[249] H. W. L. Naus, "NISQ computing for decision making under uncertainty", arXiv:1911.06167, (2019).

[250] Anurag Mishra and Alireza Shabani, "High-Quality Protein Force Fields with Noisy Quantum Processors", arXiv:1907.07128, (2019).

[251] Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J. Martinez, Jae Hyeon Yoo, Sergei V. Isakov, Philip Massey, Ramin Halavati, Murphy Yuezhen Niu, Alexander Zlokapa, Evan Peters, Owen Lockwood, Andrea Skolik, Sofiene Jerbi, Vedran Dunjko, Martin Leib, Michael Streif, David Von Dollen, Hongxiang Chen, Shuxiang Cao, Roeland Wiersema, Hsin-Yuan Huang, Jarrod R. McClean, Ryan Babbush, Sergio Boixo, Dave Bacon, Alan K. Ho, Hartmut Neven, and Masoud Mohseni, "TensorFlow Quantum: A Software Framework for Quantum Machine Learning", arXiv:2003.02989, (2020).

[252] Michael J. Gullans and David A. Huse, "Dynamical Purification Phase Transition Induced by Quantum Measurements", Physical Review X 10 4, 041020 (2020).

[253] Yunseong Nam, Jwo-Sy Chen, Neal C. Pisenti, Kenneth Wright, Conor Delaney, Dmitri Maslov, Kenneth R. Brown, Stewart Allen, Jason M. Amini, Joel Apisdorf, Kristin M. Beck, Aleksey Blinov, Vandiver Chaplin, Mika Chmielewski, Coleman Collins, Shantanu Debnath, Kai M. Hudek, Andrew M. Ducore, Matthew Keesan, Sarah M. Kreikemeier, Jonathan Mizrahi, Phil Solomon, Mike Williams, Jaime David Wong-Campos, David Moehring, Christopher Monroe, and Jungsang Kim, "Ground-state energy estimation of the water molecule on a trapped-ion quantum computer", npj Quantum Information 6, 33 (2020).

[254] Leo Zhou, Sheng-Tao Wang, Soonwon Choi, Hannes Pichler, and Mikhail D. Lukin, "Quantum Approximate Optimization Algorithm: Performance, Mechanism, and Implementation on Near-Term Devices", Physical Review X 10 2, 021067 (2020).

[255] YaoChong Li, Ri-Gui Zhou, RuQing Xu, Jia Luo, and WenWen Hu, "A quantum deep convolutional neural network for image recognition", Quantum Science and Technology 5 4, 044003 (2020).

[256] Loïc Henriet, Lucas Beguin, Adrien Signoles, Thierry Lahaye, Antoine Browaeys, Georges-Olivier Reymond, and Christophe Jurczak, "Quantum computing with neutral atoms", Quantum 4, 327 (2020).

[257] James Stokes, Josh Izaac, Nathan Killoran, and Giuseppe Carleo, "Quantum Natural Gradient", Quantum 4, 269 (2020).

[258] Natalie Klco, Martin J. Savage, and Jesse R. Stryker, "SU(2) non-Abelian gauge field theory in one dimension on digital quantum computers", Physical Review D 101 7, 074512 (2020).

[259] Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, and Dacheng Tao, "Expressive power of parametrized quantum circuits", Physical Review Research 2 3, 033125 (2020).

[260] Yiqing Zhou, E. Miles Stoudenmire, and Xavier Waintal, "What Limits the Simulation of Quantum Computers?", Physical Review X 10 4, 041038 (2020).

[261] Andreas Elben, Benoît Vermersch, Rick van Bijnen, Christian Kokail, Tiff Brydges, Christine Maier, Manoj K. Joshi, Rainer Blatt, Christian F. Roos, and Peter Zoller, "Cross-Platform Verification of Intermediate Scale Quantum Devices", Physical Review Letters 124 1, 010504 (2020).

[262] Bryan T. Gard, Linghua Zhu, George S. Barron, Nicholas J. Mayhall, Sophia E. Economou, and Edwin Barnes, "Efficient symmetry-preserving state preparation circuits for the variational quantum eigensolver algorithm", npj Quantum Information 6, 10 (2020).

[263] Mohan Sarovar, Timothy Proctor, Kenneth Rudinger, Kevin Young, Erik Nielsen, and Robin Blume-Kohout, "Detecting crosstalk errors in quantum information processors", Quantum 4, 321 (2020).

[264] Ryan Sweke, Frederik Wilde, Johannes Meyer, Maria Schuld, Paul K. Faehrmann, Barthélémy Meynard-Piganeau, and Jens Eisert, "Stochastic gradient descent for hybrid quantum-classical optimization", Quantum 4, 314 (2020).

[265] Ryan LaRose and Brian Coyle, "Robust data encodings for quantum classifiers", Physical Review A 102 3, 032420 (2020).

[266] Suguru Endo, Iori Kurata, and Yuya O. Nakagawa, "Calculation of the Green's function on near-term quantum computers", Physical Review Research 2 3, 033281 (2020).

[267] P. Magnard, S. Storz, P. Kurpiers, J. Schär, F. Marxer, J. Lütolf, T. Walter, J. -C. Besse, M. Gabureac, K. Reuer, A. Akin, B. Royer, A. Blais, and A. Wallraff, "Microwave Quantum Link between Superconducting Circuits Housed in Spatially Separated Cryogenic Systems", Physical Review Letters 125 26, 260502 (2020).

[268] Andrea Mari, Thomas R. Bromley, Josh Izaac, Maria Schuld, and Nathan Killoran, "Transfer learning in hybrid classical-quantum neural networks", Quantum 4, 340 (2020).

[269] Beatrice Nash, Vlad Gheorghiu, and Michele Mosca, "Quantum circuit optimizations for NISQ architectures", Quantum Science and Technology 5 2, 025010 (2020).

[270] Oliver Lunt and Arijeet Pal, "Measurement-induced entanglement transitions in many-body localized systems", Physical Review Research 2 4, 043072 (2020).

[271] D. Chivilikhin, A. Samarin, V. Ulyantsev, I. Iorsh, A. R. Oganov, and O. Kyriienko, "MoG-VQE: Multiobjective genetic variational quantum eigensolver", arXiv:2007.04424, (2020).

[272] Victor V. Albert, Jacob P. Covey, and John Preskill, "Robust Encoding of a Qubit in a Molecule", Physical Review X 10 3, 031050 (2020).

[273] Benjamin Villalonga, Dmitry Lyakh, Sergio Boixo, Hartmut Neven, Travis S. Humble, Rupak Biswas, Eleanor G. Rieffel, Alan Ho, and Salvatore Mandrà, "Establishing the quantum supremacy frontier with a 281 Pflop/s simulation", Quantum Science and Technology 5 3, 034003 (2020).

[274] Thomas R. Bromley, Juan Miguel Arrazola, Soran Jahangiri, Josh Izaac, Nicolás Quesada, Alain Delgado Gran, Maria Schuld, Jeremy Swinarton, Zeid Zabaneh, and Nathan Killoran, "Applications of near-term photonic quantum computers: software and algorithms", Quantum Science and Technology 5 3, 034010 (2020).

[275] Kyungjoo Noh, Liang Jiang, and Bill Fefferman, "Efficient classical simulation of noisy random quantum circuits in one dimension", Quantum 4, 318 (2020).

[276] Indrakshi Raychowdhury and Jesse R. Stryker, "Solving Gauss's law on digital quantum computers with loop-string-hadron digitization", Physical Review Research 2 3, 033039 (2020).

[277] Trevor Keen, Thomas Maier, Steven Johnston, and Pavel Lougovski, "Quantum-classical simulation of two-site dynamical mean-field theory on noisy quantum hardware", Quantum Science and Technology 5 3, 035001 (2020).

[278] Wataru Mizukami, Kosuke Mitarai, Yuya O. Nakagawa, Takahiro Yamamoto, Tennin Yan, and Yu-ya Ohnishi, "Orbital optimized unitary coupled cluster theory for quantum computer", Physical Review Research 2 3, 033421 (2020).

[279] Di Luo, Jiayu Shen, Michael Highman, Bryan K. Clark, Brian DeMarco, Aida X. El-Khadra, and Bryce Gadway, "Framework for simulating gauge theories with dipolar spin systems", Physical Review A 102 3, 032617 (2020).

[280] Annie Y. Wei, Preksha Naik, Aram W. Harrow, and Jesse Thaler, "Quantum algorithms for jet clustering", Physical Review D 101 9, 094015 (2020).

[281] Peter J. Karalekas, Nikolas A. Tezak, Eric C. Peterson, Colm A. Ryan, Marcus P. da Silva, and Robert S. Smith, "A quantum-classical cloud platform optimized for variational hybrid algorithms", Quantum Science and Technology 5 2, 024003 (2020).

[282] Andreas Bengtsson, Pontus Vikstâl, Christopher Warren, Marika Svensson, Xiu Gu, Anton Frisk Kockum, Philip Krantz, Christian Križan, Daryoush Shiri, Ida-Maria Svensson, Giovanna Tancredi, Göran Johansson, Per Delsing, Giulia Ferrini, and Jonas Bylander, "Improved Success Probability with Greater Circuit Depth for the Quantum Approximate Optimization Algorithm", Physical Review Applied 14 3, 034010 (2020).

[283] Rui Chao, Dawei Ding, Andras Gilyen, Cupjin Huang, and Mario Szegedy, "Finding Angles for Quantum Signal Processing with Machine Precision", arXiv:2003.02831, (2020).

[284] Jonas M. Kübler, Andrew Arrasmith, Lukasz Cincio, and Patrick J. Coles, "An Adaptive Optimizer for Measurement-Frugal Variational Algorithms", Quantum 4, 263 (2020).

[285] Xiu-Zhe Luo, Jin-Guo Liu, Pan Zhang, and Lei Wang, "Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design", Quantum 4, 341 (2020).

[286] Moslem Noori, Seyed Shakib Vedaie, Inderpreet Singh, Daniel Crawford, Jaspreet S. Oberoi, Barry C. Sanders, and Ehsan Zahedinejad, "Analog-Quantum Feature Mapping for Machine-Learning Applications", Physical Review Applied 14 3, 034034 (2020).

[287] Kevin J. Sung, Jiahao Yao, Matthew P. Harrigan, Nicholas C. Rubin, Zhang Jiang, Lin Lin, Ryan Babbush, and Jarrod R. McClean, "Using models to improve optimizers for variational quantum algorithms", Quantum Science and Technology 5 4, 044008 (2020).

[288] Justin E. Christensen, David Hucul, Wesley C. Campbell, and Eric R. Hudson, "High-fidelity manipulation of a qubit enabled by a manufactured nucleus", npj Quantum Information 6, 35 (2020).

[289] Sirui Lu, Lu-Ming Duan, and Dong-Ling Deng, "Quantum adversarial machine learning", Physical Review Research 2 3, 033212 (2020).

[290] Carlos Bravo-Prieto, Josep Lumbreras-Zarapico, Luca Tagliacozzo, and José I. Latorre, "Scaling of variational quantum circuit depth for condensed matter systems", Quantum 4, 272 (2020).

[291] Matthew Amy and Vlad Gheorghiu, "staq—A full-stack quantum processing toolkit", Quantum Science and Technology 5 3, 034016 (2020).

[292] Andrew Litteken, Yung-Ching Fan, Devina Singh, Margaret Martonosi, and Frederic T. Chong, "An updated LLVM-based quantum research compiler with further OpenQASM support", Quantum Science and Technology 5 3, 034013 (2020).

[293] Arianne Meijer-van de Griend and Ross Duncan, "Architecture-Aware Synthesis of Phase Polynomials for NISQ Devices", arXiv:2004.06052, (2020).

[294] M. Ganzhorn, G. Salis, D. J. Egger, A. Fuhrer, M. Mergenthaler, C. Müller, P. Müller, S. Paredes, M. Pechal, M. Werninghaus, and S. Filipp, "Benchmarking the noise sensitivity of different parametric two-qubit gates in a single superconducting quantum computing platform", Physical Review Research 2 3, 033447 (2020).

[295] Nobuyuki Yoshioka, Yuya O. Nakagawa, Kosuke Mitarai, and Keisuke Fujii, "Variational quantum algorithm for nonequilibrium steady states", Physical Review Research 2 4, 043289 (2020).

[296] Frank Leymann and Johanna Barzen, "The bitter truth about gate-based quantum algorithms in the NISQ era", Quantum Science and Technology 5 4, 044007 (2020).

[297] Kyle Poland, Kerstin Beer, and Tobias J. Osborne, "No Free Lunch for Quantum Machine Learning", arXiv:2003.14103, (2020).

[298] Matteo M. Wauters, Emanuele Panizon, Glen B. Mbeng, and Giuseppe E. Santoro, "Reinforcement-learning-assisted quantum optimization", Physical Review Research 2 3, 033446 (2020).

[299] Tyson Jones and Simon Benjamin, "QuESTlink—Mathematica embiggened by a hardware-optimised quantum emulator", Quantum Science and Technology 5 3, 034012 (2020).

[300] R. Dassonneville, T. Ramos, V. Milchakov, L. Planat, É. Dumur, F. Foroughi, J. Puertas, S. Leger, K. Bharadwaj, J. Delaforce, C. Naud, W. Hasch-Guichard, J. J. García-Ripoll, N. Roch, and O. Buisson, "Fast High-Fidelity Quantum Nondemolition Qubit Readout via a Nonperturbative Cross-Kerr Coupling", Physical Review X 10 1, 011045 (2020).

[301] B. Jaderberg, A. Agarwal, K. Leonhardt, M. Kiffner, and D. Jaksch, "Minimum hardware requirements for hybrid quantum-classical DMFT", Quantum Science and Technology 5 3, 034015 (2020).

[302] Casper Gyurik, Chris Cade, and Vedran Dunjko, "Towards quantum advantage via topological data analysis", arXiv:2005.02607, (2020).

[303] B. Paquelet Wuetz, P. L. Bavdaz, L. A. Yeoh, R. Schouten, H. van der Does, M. Tiggelman, D. Sabbagh, A. Sammak, C. G. Almudever, F. Sebastiano, J. S. Clarke, M. Veldhorst, and G. Scappucci, "Multiplexed quantum transport using commercial off-the-shelf CMOS at sub-kelvin temperatures", npj Quantum Information 6, 43 (2020).

[304] Matteo G. Pozzi, Steven J. Herbert, Akash Sengupta, and Robert D. Mullins, "Using Reinforcement Learning to Perform Qubit Routing in Quantum Compilers", arXiv:2007.15957, (2020).

[305] Charles Moussa, Henri Calandra, and Vedran Dunjko, "To quantum or not to quantum: towards algorithm selection in near-term quantum optimization", Quantum Science and Technology 5 4, 044009 (2020).

[306] Giacomo Torlai, Juan Carrasquilla, Matthew T. Fishman, Roger G. Melko, and Matthew P. A. Fisher, "Wave-function positivization via automatic differentiation", Physical Review Research 2 3, 032060 (2020).

[307] Laura Gentini, Alessandro Cuccoli, Stefano Pirandola, Paola Verrucchi, and Leonardo Banchi, "Noise-resilient variational hybrid quantum-classical optimization", Physical Review A 102 5, 052414 (2020).

[308] Shilu Yan, Hongsheng Qi, and Wei Cui, "Nonlinear quantum neuron: A fundamental building block for quantum neural networks", Physical Review A 102 5, 052421 (2020).

[309] Prakash Murali, David C. McKay, Margaret Martonosi, and Ali Javadi-Abhari, "Software Mitigation of Crosstalk on Noisy Intermediate-Scale Quantum Computers", arXiv:2001.02826, (2020).

[310] András Gilyén, Zhao Song, and Ewin Tang, "An improved quantum-inspired algorithm for linear regression", arXiv:2009.07268, (2020).

[311] Pranav S. Mundada, András Gyenis, Ziwen Huang, Jens Koch, and Andrew A. Houck, "Floquet-Engineered Enhancement of Coherence Times in a Driven Fluxonium Qubit", Physical Review Applied 14 5, 054033 (2020).

[312] Laura García-Álvarez, Cameron Calcluth, Alessandro Ferraro, and Giulia Ferrini, "Efficient simulatability of continuous-variable circuits with large Wigner negativity", Physical Review Research 2 4, 043322 (2020).

[313] P. M. Q. Cruz, G. Catarina, R. Gautier, and J. Fernández-Rossier, "Optimizing quantum phase estimation for the simulation of Hamiltonian eigenstates", Quantum Science and Technology 5 4, 044005 (2020).

[314] Jirawat Tangpanitanon, Supanut Thanasilp, Ninnat Dangniam, Marc-Antoine Lemonde, and Dimitris G. Angelakis, "Expressibility and trainability of parametrized analog quantum systems for machine learning applications", Physical Review Research 2 4, 043364 (2020).

[315] Atchade Parfait Adelomou, Elisabet Golobardes Ribe, and Xavier Vilasis Cardona, "Using the Parameterized Quantum Circuit combined with Variational-Quantum-Eigensolver (VQE) to create an Intelligent social workers' schedule problem solver", arXiv:2010.05863, (2020).

[316] Francesco Tacchino, Panagiotis Barkoutsos, Chiara Macchiavello, Ivano Tavernelli, Dario Gerace, and Daniele Bajoni, "Quantum implementation of an artificial feed-forward neural network", Quantum Science and Technology 5 4, 044010 (2020).

[317] Michel Fabrice Serret, Bertrand Marchand, and Thomas Ayral, "Solving optimization problems with Rydberg analog quantum computers: Realistic requirements for quantum advantage using noisy simulation and classical benchmarks", Physical Review A 102 5, 052617 (2020).

[318] Xiaoxia Cai, Wei-Hai Fang, Heng Fan, and Zhendong Li, "Quantum computation of molecular response properties", Physical Review Research 2 3, 033324 (2020).

[319] Adam Holmes, Sonika Johri, Gian Giacomo Guerreschi, James S. Clarke, and A. Y. Matsuura, "Impact of qubit connectivity on quantum algorithm performance", Quantum Science and Technology 5 2, 025009 (2020).

[320] Tanay Roy, Sumeru Hazra, Suman Kundu, Madhavi Chand, Meghan P. Patankar, and R. Vijay, "Programmable Superconducting Processor with Native Three-Qubit Gates", Physical Review Applied 14 1, 014072 (2020).

[321] Dan-Bo Zhang, Hongxi Xing, Hui Yan, Enke Wang, and Shi-Liang Zhu, "Selected topics of quantum computing for nuclear physics", arXiv:2011.01431, (2020).

[322] Martin Kliesch and Ingo Roth, "Theory of quantum system certification: a tutorial", arXiv:2010.05925, (2020).

[323] J. J. García-Ripoll, A. Ruiz-Chamorro, and E. Torrontegui, "Quantum Control of Frequency-Tunable Transmon Superconducting Qubits", Physical Review Applied 14 4, 044035 (2020).

[324] Hyeokjea Kwon and Joonwoo Bae, "A hybrid quantum-classical approach to mitigating measurement errors", arXiv:2003.12314, (2020).

[325] Andrey Kardashin, Alexey Uvarov, Dmitry Yudin, and Jacob Biamonte, "Certified variational quantum algorithms for eigenstate preparation", Physical Review A 102 5, 052610 (2020).

[326] Akram Youssry, Robert J. Chapman, Alberto Peruzzo, Christopher Ferrie, and Marco Tomamichel, "Modeling and control of a reconfigurable photonic circuit using deep learning", Quantum Science and Technology 5 2, 025001 (2020).

[327] Rafael I. Nepomechie, "Bethe ansatz on a quantum computer?", arXiv:2010.01609, (2020).

[328] Daan Camps and Roel Van Beeumen, "Approximate quantum circuit synthesis using block encodings", Physical Review A 102 5, 052411 (2020).

[329] Evandro Chagas Ribeiro da Rosa and Bruno G. Taketani, "QSystem: bitwise representation for quantum circuit simulations", arXiv:2004.03560, (2020).

[330] Kohdai Kuroiwa and Hayata Yamasaki, "General Quantum Resource Theories: Distillation, Formation and Consistent Resource Measures", Quantum 4, 355 (2020).

[331] Cristina Cîrstoiu, Kamil Korzekwa, and David Jennings, "Robustness of Noether's Principle: Maximal Disconnects between Conservation Laws and Symmetries in Quantum Theory", Physical Review X 10 4, 041035 (2020).

[332] Igor Brandão, Bruno Suassuna, Bruno Melo, and Thiago Guerreiro, "Entanglement dynamics in dispersive optomechanics: Nonclassicality and revival", Physical Review Research 2 4, 043421 (2020).

[333] Takahiro Tsunoda, Gaurav Bhole, Stephen A. Jones, Jonathan A. Jones, and Peter J. Leek, "Efficient Hamiltonian programming in qubit arrays with nearest-neighbor couplings", Physical Review A 102 3, 032405 (2020).

[334] Ahmed Abid Moueddene, Nader Khammassi, Koen Bertels, and Carmen G. Almudever, "Realistic simulation of quantum computation using unitary and measurement channels", Physical Review A 102 5, 052608 (2020).

[335] Ian MacCormack, Conor Delaney, Alexey Galda, Nidhi Aggarwal, and Prineha Narang, "Branching Quantum Convolutional Neural Networks", arXiv:2012.14439, (2020).

[336] Harish J. Vallury, Michael A. Jones, Charles D. Hill, and Lloyd C. L. Hollenberg, "Quantum computed moments correction to variational estimates", Quantum 4, 373 (2020).

[337] Asier Galicia, Borja Ramon, Enrique Solano, and Mikel Sanz, "Enhanced connectivity of quantum hardware with digital-analog control", Physical Review Research 2 3, 033103 (2020).

[338] Nivedita Dey, Mrityunjay Ghosh, Subhra Samir kundu, and Amlan Chakrabarti, "QDLC -- The Quantum Development Life Cycle", arXiv:2010.08053, (2020).

[339] Bhupesh Bishnoi, "Quantum Computation", arXiv:2006.02799, (2020).

[340] Michael P. Kaicher, Simon B. Jäger, Pierre-Luc Dallaire-Demers, and Frank K. Wilhelm, "Roadmap for quantum simulation of the fractional quantum Hall effect", Physical Review A 102 2, 022607 (2020).

[341] Runyao Duan, "Quantum Adiabatic Theorem Revisited", arXiv:2003.03063, (2020).

[342] George S. Barron, F. A. Calderon-Vargas, Junling Long, David P. Pappas, and Sophia E. Economou, "Microwave-based arbitrary uc(cphase) gates for transmon qubits", Physical Review B 101 5, 054508 (2020).

[343] Srinivasan Arunachalam and Reevu Maity, "Quantum Boosting", arXiv:2002.05056, (2020).

[344] María García Díaz, Benjamin Desef, Matteo Rosati, Dario Egloff, John Calsamiglia, Andrea Smirne, Michaelis Skotiniotis, and Susana F. Huelga, "Accessible coherence in open quantum system dynamics", Quantum 4, 249 (2020).

[345] Omer Sakarya, Marek Winczewski, Adam Rutkowski, and Karol Horodecki, "Hybrid quantum network design against unauthorized secret-key generation, and its memory cost", Physical Review Research 2 4, 043022 (2020).

[346] Shaopeng Zhu, Shih-Han Hung, Shouvanik Chakrabarti, and Xiaodi Wu, "On the Principles of Differentiable Quantum Programming Languages", arXiv:2004.01122, (2020).

[347] Thomas Häner and Mathias Soeken, "Lowering the T-depth of Quantum Circuits By Reducing the Multiplicative Depth Of Logic Networks", arXiv:2006.03845, (2020).

[348] Mahmoud Mahdian and H. Davoodi Yeganeh, "Incoherent quantum algorithm dynamics of an open system with near-term devices", Quantum Information Processing 19 9, 285 (2020).

[349] Dominik Hangleiter, "Sampling and the complexity of nature", arXiv:2012.07905, (2020).

[350] William M. Kirby and Peter J. Love, "Classical simulation of noncontextual Pauli Hamiltonians", Physical Review A 102 3, 032418 (2020).

[351] Iskren Vankov, Daniel Mills, Petros Wallden, and Elham Kashefi, "Methods for classically simulating noisy networked quantum architectures", Quantum Science and Technology 5 1, 014001 (2020).

[352] William Cappelletti, Rebecca Erbanni, and Joaquín Keller, "Polyadic Quantum Classifier", arXiv:2007.14044, (2020).

[353] Minsung Kim, Davide Venturelli, and Kyle Jamieson, "Leveraging Quantum Annealing for Large MIMO Processing in Centralized Radio Access Networks", arXiv:2001.04014, (2020).

[354] Thomas Gabor, Leo Sünkel, Fabian Ritz, Thomy Phan, Lenz Belzner, Christoph Roch, Sebastian Feld, and Claudia Linnhoff-Popien, "The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline", arXiv:2004.14035, (2020).

[355] Chen Lin and GuoWu Yang, "Concatenated pieceable fault-tolerant scheme for universal quantum computation", Physical Review A 102 5, 052415 (2020).

[356] Chungwei Lin, Dries Sels, Yanting Ma, and Yebin Wang, "Stochastic optimal control formalism for an open quantum system", Physical Review A 102 5, 052605 (2020).

[357] Albert T. Schmitz and Sonika Johri, "A quantum solution for efficient use of symmetries in the simulation of many-body systems", npj Quantum Information 6, 2 (2020).

[358] Rawad Mezher, Joe Ghalbouni, Joseph Dgheim, and Damian Markham, "Fault-tolerant quantum speedup from constant depth quantum circuits", Physical Review Research 2 3, 033444 (2020).

[359] Leigh S. Martin, "Quantum feedback for measurement and control", arXiv:2004.09766, (2020).

[360] Narayanan Rengaswamy, "Classical Coding Approaches to Quantum Applications", arXiv:2004.06834, (2020).

[361] Tanvi P. Gujarati, Tyler Takeshita, Andreas Hintennach, and Eunseok Lee, "A Heuristic Quantum-Classical Algorithm for Modeling Substitutionally Disordered Binary Crystalline Materials", arXiv:2004.00957, (2020).

[362] Mark Hodson, Brendan Ruck, Hugh Ong, Stefan Dulman, and David Garvin, "Finding the optimal Nash equilibrium in a discrete Rosenthal congestion game using the Quantum Alternating Operator Ansatz", arXiv:2008.09505, (2020).

[363] Evandro Chagas Ribeiro da Rosa and Rafael de Santiago, "Classical and Quantum Data Interaction in Programming Languages: A Runtime Architecture", arXiv:2006.00131, (2020).

[364] Samudra Dasgupta and Travis S. Humble, "Characterizing the Stability of NISQ Devices", arXiv:2008.09612, (2020).

[365] Tongyang Li, Chunhao Wang, Shouvanik Chakrabarti, and Xiaodi Wu, "Sublinear classical and quantum algorithms for general matrix games", arXiv:2012.06519, (2020).

[366] Inés de Vega, "The quantum dynamical map of the spin boson model", arXiv:2001.04236, (2020).

[367] Joris Kattemölle and Jasper van Wezel, "Conditions for superdecoherence", Quantum 4, 265 (2020).

[368] Rodrigo S. Sousa, Priscila G. M. dos Santos, Tiago M. L. Veras, Wilson R. de Oliveira, and Adenilton J. da Silva, "Parametric Probabilistic Quantum Memory", arXiv:2001.04798, (2020).

[369] Jasvith Raj Basani and Aranya B Bhattacherjee, "Continuous-Variable Deep Quantum Neural Networks for Flexible Learning of Structured Classical Information", arXiv:2006.10927, (2020).

[370] Pedro Rivero, Ian C. Cloët, and Zack Sullivan, "An optimal quantum sampling regression algorithm for variational eigensolving in the low qubit number regime", arXiv:2012.02338, (2020).

[371] Arit Kumar Bishwas, Ashish Mani, and Vasile Palade, "Parts of Speech Tagging in NLP: Runtime Optimization with Quantum Formulation and ZX Calculus", arXiv:2007.10328, (2020).

[372] Michael Hanks, William J. Munro, and Kae Nemoto, "Optical manipulation of the negative silicon-vacancy center in diamond", Physical Review A 102 2, 022616 (2020).

[373] Minsung Kim, Davide Venturelli, and Kyle Jamieson, "Towards Hybrid Classical-Quantum Computation Structures in Wirelessly-Networked Systems", arXiv:2010.00682, (2020).

[374] H. W. L. Naus and H. Polinder, "Bell inequality violation on small NISQ computers", arXiv:2006.13794, (2020).

[375] M. Cerezo, Akira Sone, Tyler Volkoff, Lukasz Cincio, and Patrick J. Coles, "Cost function dependent barren plateaus in shallow parametrized quantum circuits", Nature Communications 12, 1791 (2021).

[376] Samson Wang, Enrico Fontana, M. Cerezo, Kunal Sharma, Akira Sone, Lukasz Cincio, and Patrick J. Coles, "Noise-induced barren plateaus in variational quantum algorithms", Nature Communications 12, 6961 (2021).

[377] M. Morgado and S. Whitlock, "Quantum simulation and computing with Rydberg-interacting qubits", AVS Quantum Science 3 2, 023501 (2021).

[378] Danny Paulson, Luca Dellantonio, Jan F. Haase, Alessio Celi, Angus Kan, Andrew Jena, Christian Kokail, Rick van Bijnen, Karl Jansen, Peter Zoller, and Christine A. Muschik, "Simulating 2D Effects in Lattice Gauge Theories on a Quantum Computer", PRX Quantum 2 3, 030334 (2021).

[379] Daniel Stilck França and Raul García-Patrón, "Limitations of optimization algorithms on noisy quantum devices", Nature Physics 17 11, 1221 (2021).

[380] Xiao Xue, Bishnu Patra, Jeroen P. G. van Dijk, Nodar Samkharadze, Sushil Subramanian, Andrea Corna, Brian Paquelet Wuetz, Charles Jeon, Farhana Sheikh, Esdras Juarez-Hernandez, Brando Perez Esparza, Huzaifa Rampurawala, Brent Carlton, Surej Ravikumar, Carlos Nieva, Sungwon Kim, Hyung-Jin Lee, Amir Sammak, Giordano Scappucci, Menno Veldhorst, Fabio Sebastiano, Masoud Babaie, Stefano Pellerano, Edoardo Charbon, and Lieven M. K. Vandersypen, "CMOS-based cryogenic control of silicon quantum circuits", Nature 593 7858, 205 (2021).

[381] Bharath Hebbe Madhusudhana, Sebastian Scherg, Thomas Kohlert, Immanuel Bloch, and Monika Aidelsburger, "Benchmarking a Novel Efficient Numerical Method for Localized 1D Fermi-Hubbard Systems on a Quantum Simulator", PRX Quantum 2 4, 040325 (2021).

[382] Kübra Yeter-Aydeniz, Raphael C. Pooser, and George Siopsis, "Practical quantum computation of chemical and nuclear energy levels using quantum imaginary time evolution and Lanczos algorithms", npj Quantum Information 6, 63 (2020).

[383] Mikkel V. Larsen, Xueshi Guo, Casper R. Breum, Jonas S. Neergaard-Nielsen, and Ulrik L. Andersen, "Deterministic multi-mode gates on a scalable photonic quantum computing platform", Nature Physics 17 9, 1018 (2021).

[384] Senrui Chen, Wenjun Yu, Pei Zeng, and Steven T. Flammia, "Robust Shadow Estimation", PRX Quantum 2 3, 030348 (2021).

[385] Andrew D. King, Jack Raymond, Trevor Lanting, Sergei V. Isakov, Masoud Mohseni, Gabriel Poulin-Lamarre, Sara Ejtemaee, William Bernoudy, Isil Ozfidan, Anatoly Yu. Smirnov, Mauricio Reis, Fabio Altomare, Michael Babcock, Catia Baron, Andrew J. Berkley, Kelly Boothby, Paul I. Bunyk, Holly Christiani, Colin Enderud, Bram Evert, Richard Harris, Emile Hoskinson, Shuiyuan Huang, Kais Jooya, Ali Khodabandelou, Nicolas Ladizinsky, Ryan Li, P. Aaron Lott, Allison J. R. MacDonald, Danica Marsden, Gaelen Marsden, Teresa Medina, Reza Molavi, Richard Neufeld, Mana Norouzpour, Travis Oh, Igor Pavlov, Ilya Perminov, Thomas Prescott, Chris Rich, Yuki Sato, Benjamin Sheldan, George Sterling, Loren J. Swenson, Nicholas Tsai, Mark H. Volkmann, Jed D. Whittaker, Warren Wilkinson, Jason Yao, Hartmut Neven, Jeremy P. Hilton, Eric Ladizinsky, Mark W. Johnson, and Mohammad H. Amin, "Scaling advantage over path-integral Monte Carlo in quantum simulation of geometrically frustrated magnets", Nature Communications 12, 1113 (2021).

[386] Brian Coyle, Daniel Mills, Vincent Danos, and Elham Kashefi, "The Born supremacy: quantum advantage and training of an Ising Born machine", npj Quantum Information 6, 60 (2020).

[387] Matteo Ippoliti, Kostyantyn Kechedzhi, Roderich Moessner, S. L. Sondhi, and Vedika Khemani, "Many-Body Physics in the NISQ Era: Quantum Programming a Discrete Time Crystal", PRX Quantum 2 3, 030346 (2021).

[388] Yong-Xin Yao, Niladri Gomes, Feng Zhang, Cai-Zhuang Wang, Kai-Ming Ho, Thomas Iadecola, and Peter P. Orth, "Adaptive Variational Quantum Dynamics Simulations", PRX Quantum 2 3, 030307 (2021).

[389] Joseph Vovrosh and Johannes Knolle, "Confinement and entanglement dynamics on a digital quantum computer", Scientific Reports 11, 11577 (2021).

[390] Tobias Haug, Kishor Bharti, and M. S. Kim, "Capacity and Quantum Geometry of Parametrized Quantum Circuits", PRX Quantum 2 4, 040309 (2021).

[391] Yasar Y. Atas, Jinglei Zhang, Randy Lewis, Amin Jahanpour, Jan F. Haase, and Christine A. Muschik, "SU(2) hadrons on a quantum computer via a variational approach", Nature Communications 12, 6499 (2021).

[392] Yuval Baum, Mirko Amico, Sean Howell, Michael Hush, Maggie Liuzzi, Pranav Mundada, Thomas Merkh, Andre R. R. Carvalho, and Michael J. Biercuk, "Experimental Deep Reinforcement Learning for Error-Robust Gate-Set Design on a Superconducting Quantum Computer", PRX Quantum 2 4, 040324 (2021).

[393] Guillermo García-Pérez, Matteo A. C. Rossi, Boris Sokolov, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Guglielmo Mazzola, Ivano Tavernelli, and Sabrina Maniscalco, "Learning to Measure: Adaptive Informationally Complete Generalized Measurements for Quantum Algorithms", PRX Quantum 2 4, 040342 (2021).

[394] Benjamin Nachman, Miroslav Urbanek, Wibe A. de Jong, and Christian W. Bauer, "Unfolding quantum computer readout noise", npj Quantum Information 6, 84 (2020).

[395] S. E. Rasmussen, K. S. Christensen, S. P. Pedersen, L. B. Kristensen, T. Bækkegaard, N. J. S. Loft, and N. T. Zinner, "Superconducting Circuit Companion—an Introduction with Worked Examples", PRX Quantum 2 4, 040204 (2021).

[396] Kenneth R. Brown, John Chiaverini, Jeremy M. Sage, and Hartmut Häffner, "Materials challenges for trapped-ion quantum computers", Nature Reviews Materials 6 10, 892 (2021).

[397] Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, and Dacheng Tao, "Learnability of Quantum Neural Networks", PRX Quantum 2 4, 040337 (2021).

[398] Caterina Vigliar, Stefano Paesani, Yunhong Ding, Jeremy C. Adcock, Jianwei Wang, Sam Morley-Short, Davide Bacco, Leif K. Oxenløwe, Mark G. Thompson, John G. Rarity, and Anthony Laing, "Error-protected qubits in a silicon photonic chip", Nature Physics 17 10, 1137 (2021).

[399] Jie Liu, Zhenyu Li, and Jinlong Yang, "An efficient adaptive variational quantum solver of the Schrödinger equation based on reduced density matrices", Journal of Chemical Physics 154 24, 244112 (2021).

[400] Ravitej Uppu, Leonardo Midolo, Xiaoyan Zhou, Jacques Carolan, and Peter Lodahl, "Quantum-dot-based deterministic photon-emitter interfaces for scalable photonic quantum technology", Nature Nanotechnology 16 12, 1308 (2021).

[401] Laura Clinton, Johannes Bausch, and Toby Cubitt, "Hamiltonian simulation algorithms for near-term quantum hardware", Nature Communications 12, 4989 (2021).

[402] Yukio Kawashima, Erika Lloyd, Marc P. Coons, Yunseong Nam, Shunji Matsuura, Alejandro J. Garza, Sonika Johri, Lee Huntington, Valentin Senicourt, Andrii O. Maksymov, Jason H. V. Nguyen, Jungsang Kim, Nima Alidoust, Arman Zaribafiyan, and Takeshi Yamazaki, "Optimizing electronic structure simulations on a trapped-ion quantum computer using problem decomposition", Communications Physics 4 1, 245 (2021).

[403] Kosuke Mitarai and Keisuke Fujii, "Constructing a virtual two-qubit gate by sampling single-qubit operations", New Journal of Physics 23 2, 023021 (2021).

[404] John S. Van Dyke, George S. Barron, Nicholas J. Mayhall, Edwin Barnes, and Sophia E. Economou, "Preparing Bethe Ansatz Eigenstates on a Quantum Computer", PRX Quantum 2 4, 040329 (2021).

[405] Hideaki Hakoshima, Yuichiro Matsuzaki, and Suguru Endo, "Relationship between costs for quantum error mitigation and non-Markovian measures", Physical Review A 103 1, 012611 (2021).

[406] Jonah Kudler-Flam, Vladimir Narovlansky, and Shinsei Ryu, "Distinguishing Random and Black Hole Microstates", PRX Quantum 2 4, 040340 (2021).

[407] Barnaby van Straaten and Bálint Koczor, "Measurement Cost of Metric-Aware Variational Quantum Algorithms", PRX Quantum 2 3, 030324 (2021).

[408] Yordan S. Yordanov, V. Armaos, Crispin H. W. Barnes, and David R. M. Arvidsson-Shukur, "Qubit-excitation-based adaptive variational quantum eigensolver", Communications Physics 4 1, 228 (2021).

[409] Sergey Bravyi, David Gosset, and Ramis Movassagh, "Classical algorithms for quantum mean values", Nature Physics 17 3, 337 (2021).

[410] Yongdan Yang, Bing-Nan Lu, and Ying Li, "Accelerated Quantum Monte Carlo with Mitigated Error on Noisy Quantum Computer", PRX Quantum 2 4, 040361 (2021).

[411] Emma Lomonte, Martin A. Wolff, Fabian Beutel, Simone Ferrari, Carsten Schuck, Wolfram H. P. Pernice, and Francesco Lenzini, "Single-photon detection and cryogenic reconfigurability in lithium niobate nanophotonic circuits", Nature Communications 12, 6847 (2021).

[412] Cheng Xue, Zhao-Yun Chen, Yu-Chun Wu, and Guo-Ping Guo, "Effects of Quantum Noise on Quantum Approximate Optimization Algorithm", Chinese Physics Letters 38 3, 030302 (2021).

[413] V. Cimini, S. Gherardini, M. Barbieri, I. Gianani, M. Sbroscia, L. Buffoni, M. Paternostro, and F. Caruso, "Experimental characterization of the energetics of quantum logic gates", npj Quantum Information 6, 96 (2020).

[414] Bálint Koczor, "The dominant eigenvector of a noisy quantum state", New Journal of Physics 23 12, 123047 (2021).

[415] Gian-Luca R. Anselmetti, David Wierichs, Christian Gogolin, and Robert M. Parrish, "Local, expressive, quantum-number-preserving VQE ansätze for fermionic systems", New Journal of Physics 23 11, 113010 (2021).

[416] Bartosz Regula and Ryuji Takagi, "Fundamental limitations on distillation of quantum channel resources", Nature Communications 12, 4411 (2021).

[417] Huan-Yu Ku, Neill Lambert, Feng-Jui Chan, Clive Emary, Yueh-Nan Chen, and Franco Nori, "Experimental test of non-macrorealistic cat states in the cloud", npj Quantum Information 6, 98 (2020).

[418] Tatiana A. Bespalova and Oleksandr Kyriienko, "Hamiltonian Operator Approximation for Energy Measurement and Ground-State Preparation", PRX Quantum 2 3, 030318 (2021).

[419] Hsin-Yuan Huang, Kishor Bharti, and Patrick Rebentrost, "Near-term quantum algorithms for linear systems of equations with regression loss functions", New Journal of Physics 23 11, 113021 (2021).

[420] Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, and Dacheng Tao, "A Grover-search based quantum learning scheme for classification", New Journal of Physics 23 2, 023020 (2021).

[421] Alexander Engel, Graeme Smith, and Scott E. Parker, "Linear embedding of nonlinear dynamical systems and prospects for efficient quantum algorithms", Physics of Plasmas 28 6, 062305 (2021).

[422] Koji Terashi, Michiru Kaneda, Tomoe Kishimoto, Masahiko Saito, Ryu Sawada, and Junichi Tanaka, "Event Classification with Quantum Machine Learning in High-Energy Physics", Computing and Software for Big Science 5 1, 2 (2021).

[423] Kübra Yeter-Aydeniz, George Siopsis, and Raphael C. Pooser, "Scattering in the Ising model with the quantum Lanczos algorithm", New Journal of Physics 23 4, 043033 (2021).

[424] Xiu Gu, Jorge Fernández-Pendás, Pontus Vikstâl, Tahereh Abad, Christopher Warren, Andreas Bengtsson, Giovanna Tancredi, Vitaly Shumeiko, Jonas Bylander, Göran Johansson, and Anton Frisk Kockum, "Fast Multiqubit Gates through Simultaneous Two-Qubit Gates", PRX Quantum 2 4, 040348 (2021).

[425] S. Carretta, D. Zueco, A. Chiesa, Á. Gómez-León, and F. Luis, "A perspective on scaling up quantum computation with molecular spins", Applied Physics Letters 118 24, 240501 (2021).

[426] Samuel Yen-Chi Chen and Shinjae Yoo, "Federated Quantum Machine Learning", Entropy 23 4, 460 (2021).

[427] Dmitry A. Fedorov, Matthew J. Otten, Stephen K. Gray, and Yuri Alexeev, "Ab initio molecular dynamics on quantum computers", Journal of Chemical Physics 154 16, 164103 (2021).

[428] Nicholas H. Stair and Francesco A. Evangelista, "Simulating Many-Body Systems with a Projective Quantum Eigensolver", PRX Quantum 2 3, 030301 (2021).

[429] Alexander J. Buser, Hrant Gharibyan, Masanori Hanada, Masazumi Honda, and Junyu Liu, "Quantum simulation of gauge theory via orbifold lattice", Journal of High Energy Physics 2021 9, 34 (2021).

[430] Xiao-Dong Yu, Timo Simnacher, Nikolai Wyderka, H. Chau Nguyen, and Otfried Gühne, "A complete hierarchy for the pure state marginal problem in quantum mechanics", Nature Communications 12, 1012 (2021).

[431] Prasanna Date and Thomas Potok, "Adiabatic quantum linear regression", Scientific Reports 11, 21905 (2021).

[432] Connor T. Hann, Gideon Lee, S. M. Girvin, and Liang Jiang, "Resilience of Quantum Random Access Memory to Generic Noise", PRX Quantum 2 2, 020311 (2021).

[433] A. Yu. Dmitriev and O. V. Astafiev, "A perspective on superconducting flux qubits", Applied Physics Letters 119 8, 080501 (2021).

[434] Matteo Piccolini, Farzam Nosrati, Giuseppe Compagno, Patrizia Livreri, Roberto Morandotti, and Rosario Lo Franco, "Entanglement Robustness via Spatial Deformation of Identical Particle Wave Functions", Entropy 23 6, 708 (2021).

[435] Xiruo Yan, Sebastian Gitt, Becky Lin, Donald Witt, Mahssa Abdolahi, Abdelrahman Afifi, Adan Azem, Adam Darcie, Jingda Wu, Kashif Awan, Matthew Mitchell, Andreas Pfenning, Lukas Chrostowski, and Jeff F. Young, "Silicon photonic quantum computing with spin qubits", APL Photonics 6 7, 070901 (2021).

[436] Élie Genois, Jonathan A. Gross, Agustin Di Paolo, Noah J. Stevenson, Gerwin Koolstra, Akel Hashim, Irfan Siddiqi, and Alexandre Blais, "Quantum-Tailored Machine-Learning Characterization of a Superconducting Qubit", PRX Quantum 2 4, 040355 (2021).

[437] Chien-Hung Cho, Chih-Yu Chen, Kuo-Chin Chen, Tsung-Wei Huang, Ming-Chien Hsu, Ning-Ping Cao, Bei Zeng, Seng-Ghee Tan, and Ching-Ray Chang, "Quantum computation: Algorithms and Applications", Chinese Journal of Physics 72, 248 (2021).

[438] Kamal Choudhary, "Quantum computation for predicting electron and phonon properties of solids", Journal of Physics Condensed Matter 33 38, 385501 (2021).

[439] Maharshi Ray, Naresh Goud Boddu, Kishor Bharti, Leong-Chuan Kwek, and Adán Cabello, "Graph-theoretic approach to dimension witnessing", New Journal of Physics 23 3, 033006 (2021).

[440] Samuel Mugel, Mario Abad, Miguel Bermejo, Javier Sánchez, Enrique Lizaso, and Román Orús, "Hybrid quantum investment optimization with minimal holding period", Scientific Reports 11, 19587 (2021).

[441] Boaz Barak, "Work with what you've got", Nature Physics 17 3, 295 (2021).

[442] Xiao Xiong, Nuttawut Kongsuwan, Yiming Lai, Ching Eng Png, Lin Wu, and Ortwin Hess, "Room-temperature plexcitonic strong coupling: Ultrafast dynamics for quantum applications", Applied Physics Letters 118 13, 130501 (2021).

[443] A. Chiesa, F. Petiziol, E. Macaluso, S. Wimberger, P. Santini, and S. Carretta, "Embedded quantum-error correction and controlled-phase gate for molecular spin qubits", AIP Advances 11 2, 025134 (2021).

[444] Susan M. Mniszewski, Pavel A. Dub, Sergei Tretiak, Petr M. Anisimov, Yu Zhang, and Christian F. A. Negre, "Reduction of the molecular hamiltonian matrix using quantum community detection", Scientific Reports 11, 4099 (2021).

[445] Zhimin He, Lvzhou Li, Shenggen Zheng, Yongyao Li, and Haozhen Situ, "Variational quantum compiling with double Q-learning", New Journal of Physics 23 3, 033002 (2021).

[446] S. D. Manko, D. N. Frolovtsev, and S. A. Magnitsky, "Simulation of Quantum Tomography Process of Biphoton Polarization States on a Quantum Computer", Moscow University Physics Bulletin 76 2, 97 (2021).

[447] Sheng-Jie Li, Jin-Min Liang, Shu-Qian Shen, and Ming Li, "Variational quantum algorithms for trace norms and their applications", Communications in Theoretical Physics 73 10, 105102 (2021).

[448] Ramin Ayanzadeh, John Dorband, Milton Halem, and Tim Finin, "Multi-qubit correction for quantum annealers", Scientific Reports 11, 16119 (2021).

[449] Dominikus Brian and Xiang Sun, "Generalized quantum master equation: A tutorial review and recent advances", Chinese Journal of Chemical Physics 34 5, 497 (2021).

[450] Prakash Verma, Lee Huntington, Marc P. Coons, Yukio Kawashima, Takeshi Yamazaki, and Arman Zaribafiyan, "Scaling up electronic structure calculations on quantum computers: The frozen natural orbital based method of increments", Journal of Chemical Physics 155 3, 034110 (2021).

[451] Huan-Yu Liu, Tai-Ping Sun, Yu-Chun Wu, and Guo-Ping Guo, "Variational Quantum Algorithms for the Steady States of Open Quantum Systems", Chinese Physics Letters 38 8, 080301 (2021).

[452] Vincenzo Lordi and John M. Nichol, "Advances and opportunities in materials science for scalable quantum computing", MRS Bulletin 46 7, 589 (2021).

[453] P. Neveu, J. Clarke, M. R. Vanner, and E. Verhagen, "Preparation and verification of two-mode mechanical entanglement through pulsed optomechanical measurements", New Journal of Physics 23 2, 023026 (2021).

[454] Hai-Yang Ma, Dandan Guan, Shiyong Wang, Yaoyi Li, Canhua Liu, Hao Zheng, and Jin-Feng Jia, "Braiding Majorana zero mode in an electrically controllable way", Journal of Physics D Applied Physics 54 42, 424003 (2021).

[455] João Barata and Carlos A. Salgado, "A quantum strategy to compute the jet quenching parameter q ^", European Physical Journal C 81 10, 862 (2021).

[456] Blake A. Wilson, Zhaxylyk A. Kudyshev, Alexander V. Kildishev, Sabre Kais, Vladimir M. Shalaev, and Alexandra Boltasseva, "Machine learning framework for quantum sampling of highly constrained, continuous optimization problems", Applied Physics Reviews 8 4, 041418 (2021).

[457] Laszlo Gyongyosi and Sandor Imre, "Scalable distributed gate-model quantum computers", Scientific Reports 11, 5172 (2021).

[458] Eric J. Bylaska, Duo Song, Nicholas P. Bauman, Karol Kowalski, Daniel Claudino, and Travis S. Humble, "Quantum Solvers for Plane-Wave Hamiltonians: Abridging Virtual Spaces Through the Optimization of Pairwise Correlations", Frontiers in Chemistry 9, 26 (2021).

[459] Qing Guo and Ping-Xing Chen, "Optimization of VQE-UCC algorithm based on spin state symmetry", Frontiers in Physics 9, 554 (2021).

[460] Xiao-Pei Yang, Zhi-Kun Han, Wen Zheng, Dong Lan, and Yang Yu, "The interference between a giant atom and an internal resonator", Communications in Theoretical Physics 73 11, 115104 (2021).

[461] Nur R. Ayukaryana, Mohammad H. Fauzi, and Eddwi H. Hasdeo, "The quest and hope of Majorana zero modes in topological superconductor for fault-tolerant quantum computing: An introductory overview", American Institute of Physics Conference Series 2382 1, 020007 (2021).

[462] Klaus Kreger, Hans-Werner Schmidt, and Richard Hildner, "Tailoring the excited-state energy landscape in supramolecular nanostructures", Electronic Structure 3 2, 023001 (2021).

[463] Hong-Bin Chen and Yueh-Nan Chen, "Canonical Hamiltonian ensemble representation of dephasing dynamics and the impact of thermal fluctuations on quantum-to-classical transition", Scientific Reports 11, 10046 (2021).

[464] Ying-Jiun Chen, Markus Hoffmann, Bernd Zimmermann, Gustav Bihlmayer, Stefan Blügel, Claus M. Schneider, and Christian Tusche, "Quantum spin mixing in Dirac materials", Communications Physics 4 1, 179 (2021).

[465] P. Zhao, J. P. Likforman, H. Y. Li, J. Tao, T. Henner, Y. D. Lim, W. W. Seit, C. S. Tan, and L. Guidoni, "TSV-integrated surface electrode ion trap for scalable quantum information processing", Applied Physics Letters 118 12, 124003 (2021).

[466] Martin Sandberg, Vivekananda P. Adiga, Markus Brink, Cihan Kurter, Conal Murray, Marinus Hopstaken, John Bruley, Jason S. Orcutt, and Hanhee Paik, "Investigating microwave loss of SiGe using superconducting transmon qubits", Applied Physics Letters 118 12, 124001 (2021).

[467] Stephanie Law and Servaas Kokkelmans, "Materials for quantum technologies: Computing, information, and sensing", Journal of Applied Physics 129 14, 140401 (2021).

[468] Indrakshi Raychowdhury, "Toward quantum simulating non-Abelian gauge theories", Indian Journal of Physics 95 8, 1681 (2021).

[469] Yutaka Shikano, Hiroshi C. Watanabe, Ken M. Nakanishi, and Yu-ya Ohnishi, "Post-Hartree-Fock method in quantum chemistry for quantum computer", European Physical Journal Special Topics 230 4, 1037 (2021).

[470] Nathan Eli Miller and Saibal Mukhopadhyay, "A quantum Hopfield associative memory implemented on an actual quantum processor", Scientific Reports 11, 23391 (2021).

[471] Paolo Braccia, Filippo Caruso, and Leonardo Banchi, "How to enhance quantum generative adversarial learning of noisy information", New Journal of Physics 23 5, 053024 (2021).

[472] Erik Nielsen, Kenneth Rudinger, Timothy Proctor, Kevin Young, and Robin Blume-Kohout, "Efficient flexible characterization of quantum processors with nested error models", New Journal of Physics 23 9, 093020 (2021).

[473] Paulina Lewandowska, Aleksandra Krawiec, Ryszard Kukulski, Łukasz Pawela, and Zbigniew Puchała, "On the optimal certification of von Neumann measurements", Scientific Reports 11, 3623 (2021).

[474] J. H. Béjanin, C. T. Earnest, Y. R. Sanders, and M. Mariantoni, "Resonant Coupling Parameter Estimation with Superconducting Qubits", PRX Quantum 2 4, 040343 (2021).

[475] John P. Philbin and Prineha Narang, "Computational Materials Insights Into Solid-State Multiqubit Systems", PRX Quantum 2 3, 030102 (2021).

[476] T. S. Mahesh, Deepak Khurana, V. R. Krithika, G. J. Sreejith, and C. S. Sudheer Kumar, "Star-topology registers: NMR and quantum information perspectives", Journal of Physics Condensed Matter 33 38, 383002 (2021).

[477] Yuanhao Li, Yangyang Fei, Weilong Wang, Xiangdong Meng, Hong Wang, Qianheng Duan, and Zhi Ma, "Quantum random number generator using a cloud superconducting quantum computer based on source-independent protocol", Scientific Reports 11, 23873 (2021).

[478] Kapil K. Sharma and Suprabhat Sinha, "Trade-off between Squashed Entanglement and Concurrence in Bipartite Quantum States", International Journal of Theoretical Physics 60 9, 3651 (2021).

[479] Aonan Zhang, Hao Zhan, Junjie Liao, Kaimin Zheng, Tao Jiang, Minghao Mi, Penghui Yao, and Lijian Zhang, "Quantum verification of NP problems with single photons and linear optics", Light: Science & Applications 10 1, 169 (2021).

[480] Raja Selvarajan, Vivek Dixit, Xingshan Cui, Travis S. Humble, and Sabre Kais, "Prime factorization using quantum variational imaginary time evolution", Scientific Reports 11, 20835 (2021).

[481] Yidong Liao, Daniel Ebler, Feiyang Liu, and Oscar Dahlsten, "Quantum speed-up in global optimization of binary neural nets", New Journal of Physics 23 6, 063013 (2021).

[482] C. H. Valahu, A. M. Lawrence, S. Weidt, and W. K. Hensinger, "Robust entanglement by continuous dynamical decoupling of the J-coupling interaction", New Journal of Physics 23 11, 113012 (2021).

[483] Alexandria J. Moore, Yuchen Wang, Zixuan Hu, Sabre Kais, and Andrew M. Weiner, "Statistical approach to quantum phase estimation", New Journal of Physics 23 11, 113027 (2021).

[484] Yao Xiao, Shahin Nazarian, and Paul Bogdan, "A stochastic quantum program synthesis framework based on Bayesian optimization", Scientific Reports 11, 13138 (2021).

[485] Ziwen Pan and Ivan B. Djordjevic, "An Overview of Geometrical Optics Restricted Quantum Key Distribution", Entropy 23 8, 1003 (2021).

[486] Chen Lin, YiChen Wang, JinZhao Wu, and GuoWu Yang, "Efficient Decoding Scheme of Non-Uniform Concatenation Quantum Code with Deep Neural Network", International Journal of Theoretical Physics 60 3, 848 (2021).

[487] Junxu Li and Sabre Kais, "A universal quantum circuit design for periodical functions", New Journal of Physics 23 10, 103022 (2021).

[488] Dan-Yu Li, Ji Chu, Wen Zheng, Dong Lan, Jie Zhao, Shao-Xiong Li, Xin-Sheng Tan, and Yang Yu, "Universal quantum control based on parametric modulation in superconducting circuits", Chinese Physics B 30 7, 070308 (2021).

[489] Aida Ahmadzadegan, Petar Simidzija, Ming Li, and Achim Kempf, "Neural networks can learn to utilize correlated auxiliary noise", Scientific Reports 11, 21624 (2021).

[490] Mingxia Huo and Ying Li, "Self-consistent tomography of temporally correlated errors", Communications in Theoretical Physics 73 7, 075101 (2021).

[491] C. -Y. Pan, M. Hao, N. Barraza, E. Solano, and F. Albarrán-Arriagada, "Experimental semi-autonomous eigensolver using reinforcement learning", Scientific Reports 11, 12241 (2021).

[492] Sam McArdle, "Learning from Physics Experiments with Quantum Computers: Applications in Muon Spectroscopy", PRX Quantum 2 2, 020349 (2021).

[493] Jirayu Supasil, Poramet Pathumsoot, and Sujin Suwanna, "Simulation of implementable quantum-assisted genetic algorithm", Journal of Physics Conference Series 1719 1, 012102 (2021).

[494] Aleksandra Krawiec, Řukasz Pawela, and Zbigniew Puchała, "Excluding false negative error in certification of quantum channels", Scientific Reports 11, 21716 (2021).

[495] Roberto Baginski B. Santos and Vinicius S. F. Lisboa, "Coupling Modifies the Quantum Fluctuations of Entangled Oscillators", Brazilian Journal of Physics 51 3, 559 (2021).

[496] Rafael Cação, Lucas Cortez, Ismael de Farias, Ernee Kozyreff, Jalil Khatibi Moqadam, and Renato Portugal, "Quantum Walk on the Generalized Birkhoff Polytope Graph", Entropy 23 10, 1239 (2021).

[497] Jirawat Saiphet, Sujin Suwanna, Thiparat Chotibut, and Areeya Chantasri, "Quantum approximate optimization and k-means algorithms for data clustering", Journal of Physics Conference Series 1719 1, 012100 (2021).

[498] Songyang Wu, Wenqi Sun, Qingle Wang, Ronghua Che, Meng Hu, Zhiguo Ding, and Xue Xue, "A Secure Quantum Protocol for Anonymous One-Vote Veto Voting", IEEE Access 9, 146841 (2021).

[499] Luis Alberto Aranda, Oscar Ruano, Francisco Garcia-Herrero, and Juan Antonio Maestro, "Reliability Analysis of ASIC Designs With Xilinx SRAM-Based FPGAs", IEEE Access 9, 140676 (2021).

[500] Joseph Vovrosh, Kiran E. Khosla, Sean Greenaway, Christopher Self, M. S. Kim, and Johannes Knolle, "Simple mitigation of global depolarizing errors in quantum simulations", Physical Review E 104 3, 035309 (2021).

[501] Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao, and Nana Liu, "Quantum noise protects quantum classifiers against adversaries", Physical Review Research 3 2, 023153 (2021).

[502] Matteo Ippoliti, Michael J. Gullans, Sarang Gopalakrishnan, David A. Huse, and Vedika Khemani, "Entanglement Phase Transitions in Measurement-Only Dynamics", Physical Review X 11 1, 011030 (2021).

[503] Seyon Sivarajah, Silas Dilkes, Alexander Cowtan, Will Simmons, Alec Edgington, and Ross Duncan, "t|ket⟩: a retargetable compiler for NISQ devices", Quantum Science and Technology 6 1, 014003 (2021).

[504] Youngkyu Sung, Leon Ding, Jochen Braumüller, Antti Vepsäläinen, Bharath Kannan, Morten Kjaergaard, Ami Greene, Gabriel O. Samach, Chris McNally, David Kim, Alexander Melville, Bethany M. Niedzielski, Mollie E. Schwartz, Jonilyn L. Yoder, Terry P. Orlando, Simon Gustavsson, and William D. Oliver, "Realization of High-Fidelity CZ and Z Z -Free iSWAP Gates with a Tunable Coupler", Physical Review X 11 2, 021058 (2021).

[505] William J. Huggins, Sam McArdle, Thomas E. O'Brien, Joonho Lee, Nicholas C. Rubin, Sergio Boixo, K. Birgitta Whaley, Ryan Babbush, and Jarrod R. McClean, "Virtual Distillation for Quantum Error Mitigation", Physical Review X 11 4, 041036 (2021).

[506] Zheshen Zhang and Quntao Zhuang, "Distributed quantum sensing", Quantum Science and Technology 6 4, 043001 (2021).

[507] Avinash Chalumuri, Raghavendra Kune, and B. S. Manoj, "A hybrid classical-quantum approach for multi-class classification", Quantum Information Processing 20 3, 119 (2021).

[508] Jonathan Wurtz and Peter Love, "MaxCut quantum approximate optimization algorithm performance guarantees for p >1", Physical Review A 103 4, 042612 (2021).

[509] Oleksandr Kyriienko, Annie E. Paine, and Vincent E. Elfving, "Solving nonlinear differential equations with differentiable quantum circuits", Physical Review A 103 5, 052416 (2021).

[510] Xiao Yuan, Jinzhao Sun, Junyu Liu, Qi Zhao, and You Zhou, "Quantum Simulation with Hybrid Tensor Networks", Physical Review Letters 127 4, 040501 (2021).

[511] Taylor L. Patti, Khadijeh Najafi, Xun Gao, and Susanne F. Yelin, "Entanglement devised barren plateau mitigation", Physical Review Research 3 3, 033090 (2021).

[512] Bálint Koczor, "Exponential Error Suppression for Near-Term Quantum Devices", Physical Review X 11 3, 031057 (2021).

[513] Vera von Burg, Guang Hao Low, Thomas Häner, Damian S. Steiger, Markus Reiher, Martin Roetteler, and Matthias Troyer, "Quantum computing enhanced computational catalysis", Physical Review Research 3 3, 033055 (2021).

[514] Atharv Joshi, Kyungjoo Noh, and Yvonne Y. Gao, "Quantum information processing with bosonic qubits in circuit QED", Quantum Science and Technology 6 3, 033001 (2021).

[515] Yuta Shingu, Yuya Seki, Shohei Watabe, Suguru Endo, Yuichiro Matsuzaki, Shiro Kawabata, Tetsuro Nikuni, and Hideaki Hakoshima, "Boltzmann machine learning with a variational quantum algorithm", Physical Review A 104 3, 032413 (2021).

[516] L. C. G. Govia, G. J. Ribeill, G. E. Rowlands, H. K. Krovi, and T. A. Ohki, "Quantum reservoir computing with a single nonlinear oscillator", Physical Review Research 3 1, 013077 (2021).

[517] Angus Lowe, Max Hunter Gordon, Piotr Czarnik, Andrew Arrasmith, Patrick J. Coles, and Lukasz Cincio, "Unified approach to data-driven quantum error mitigation", Physical Review Research 3 3, 033098 (2021).

[518] Harrison Ball, Michael J. Biercuk, Andre R. R. Carvalho, Jiayin Chen, Michael Hush, Leonardo A. De Castro, Li Li, Per J. Liebermann, Harry J. Slatyer, Claire Edmunds, Virginia Frey, Cornelius Hempel, and Alistair Milne, "Software tools for quantum control: improving quantum computer performance through noise and error suppression", Quantum Science and Technology 6 4, 044011 (2021).

[519] Jinzhao Sun, Xiao Yuan, Takahiro Tsunoda, Vlatko Vedral, Simon C. Benjamin, and Suguru Endo, "Mitigating Realistic Noise in Practical Noisy Intermediate-Scale Quantum Devices", Physical Review Applied 15 3, 034026 (2021).

[520] João Barata, Niklas Mueller, Andrey Tarasov, and Raju Venugopalan, "Single-particle digitization strategy for quantum computation of a ϕ<SUP>4</SUP> scalar field theory", Physical Review A 103 4, 042410 (2021).

[521] Ryuji Takagi, "Optimal resource cost for error mitigation", Physical Review Research 3 3, 033178 (2021).

[522] Benjamin Nachman, Davide Provasoli, Wibe A. de Jong, and Christian W. Bauer, "Quantum Algorithm for High Energy Physics Simulations", Physical Review Letters 126 6, 062001 (2021).

[523] Hai-Ling Liu, Yu-Sen Wu, Lin-Chun Wan, Shi-Jie Pan, Su-Juan Qin, Fei Gao, and Qiao-Yan Wen, "Variational quantum algorithm for the Poisson equation", Physical Review A 104 2, 022418 (2021).

[524] Peter Nimbe, Benjamin Asubam Weyori, and Adebayo Felix Adekoya, "Models in quantum computing: a systematic review", Quantum Information Processing 20 2, 80 (2021).

[525] Sivaprasad Omanakuttan and Arul Lakshminarayan, "Quantum walks with quantum chaotic coins: Loschmidt echo, classical limit, and thermalization", Physical Review E 103 1, 012207 (2021).

[526] Armin Khamoshi, Francesco A. Evangelista, and Gustavo E. Scuseria, "Correlating AGP on a quantum computer", Quantum Science and Technology 6 1, 014004 (2021).

[527] Rongxin Xia and Sabre Kais, "Qubit coupled cluster singles and doubles variational quantum eigensolver ansatz for electronic structure calculations", Quantum Science and Technology 6 1, 015001 (2021).

[528] Helin Zhang, Srivatsan Chakram, Tanay Roy, Nathan Earnest, Yao Lu, Ziwen Huang, D. K. Weiss, Jens Koch, and David I. Schuster, "Universal Fast-Flux Control of a Coherent, Low-Frequency Qubit", Physical Review X 11 1, 011010 (2021).

[529] Jules Tilly, P. V. Sriluckshmy, Akashkumar Patel, Enrico Fontana, Ivan Rungger, Edward Grant, Robert Anderson, Jonathan Tennyson, and George H. Booth, "Reduced density matrix sampling: Self-consistent embedding and multiscale electronic structure on current generation quantum computers", Physical Review Research 3 3, 033230 (2021).

[530] Haoran Liao, Ian Convy, William J. Huggins, and K. Birgitta Whaley, "Robust in practice: Adversarial attacks on quantum machine learning", Physical Review A 103 4, 042427 (2021).

[531] Lindsay Bassman, Miroslav Urbanek, Mekena Metcalf, Jonathan Carter, Alexander F. Kemper, and Wibe A. de Jong, "Simulating quantum materials with digital quantum computers", Quantum Science and Technology 6 4, 043002 (2021).

[532] Tomonori Shirakawa, Kazuhiro Seki, and Seiji Yunoki, "Discretized quantum adiabatic process for free fermions and comparison with the imaginary-time evolution", Physical Review Research 3 1, 013004 (2021).

[533] Juneseo Lee, Alicia B. Magann, Herschel A. Rabitz, and Christian Arenz, "Progress toward favorable landscapes in quantum combinatorial optimization", Physical Review A 104 3, 032401 (2021).

[534] Jakob S. Kottmann, Sumner Alperin-Lea, Teresa Tamayo-Mendoza, Alba Cervera-Lierta, Cyrille Lavigne, Tzu-Ching Yen, Vladyslav Verteletskyi, Philipp Schleich, Abhinav Anand, Matthias Degroote, Skylar Chaney, Maha Kesibi, Naomi Grace Curnow, Brandon Solo, Georgios Tsilimigkounakis, Claudia Zendejas-Morales, Artur F. Izmaylov, and Alán Aspuru-Guzik, "TEQUILA: a platform for rapid development of quantum algorithms", Quantum Science and Technology 6 2, 024009 (2021).

[535] Quntao Zhuang, "Quantum Ranging with Gaussian Entanglement", Physical Review Letters 126 24, 240501 (2021).

[536] Enrico Fontana, Nathan Fitzpatrick, David Muñoz Ramo, Ross Duncan, and Ivan Rungger, "Evaluating the noise resilience of variational quantum algorithms", Physical Review A 104 2, 022403 (2021).

[537] Kishor Bharti and Tobias Haug, "Iterative quantum-assisted eigensolver", Physical Review A 104 5, L050401 (2021).

[538] Andre R. R. Carvalho, Harrison Ball, Michael J. Biercuk, Michael R. Hush, and Felix Thomsen, "Error-Robust Quantum Logic Optimization Using a Cloud Quantum Computer Interface", Physical Review Applied 15 6, 064054 (2021).

[539] Andrea Mari, Nathan Shammah, and William J. Zeng, "Extending quantum probabilistic error cancellation by noise scaling", Physical Review A 104 5, 052607 (2021).

[540] Sukin Sim, Jonathan Romero, Jérôme F. Gonthier, and Alexander A. Kunitsa, "Adaptive pruning-based optimization of parameterized quantum circuits", Quantum Science and Technology 6 2, 025019 (2021).

[541] Clarice D. Aiello, D. D. Awschalom, Hannes Bernien, Tina Brower, Kenneth R. Brown, Todd A. Brun, Justin R. Caram, Eric Chitambar, Rosa Di Felice, Karina Montilla Edmonds, Michael F. J. Fox, Stephan Haas, Alexander W. Holleitner, Eric R. Hudson, Jeffrey H. Hunt, Robert Joynt, Scott Koziol, M. Larsen, H. J. Lewandowski, Doug T. McClure, Jen Palsberg, Gina Passante, Kristen L. Pudenz, Christopher J. K. Richardson, Jessica L. Rosenberg, R. S. Ross, Mark Saffman, M. Singh, David W. Steuerman, Chad Stark, Jos Thijssen, A. Nick Vamivakas, James D. Whitfield, and Benjamin M. Zwickl, "Achieving a quantum smart workforce", Quantum Science and Technology 6 3, 030501 (2021).

[542] Benedikt Fauseweh and Jian-Xin Zhu, "Digital quantum simulation of non-equilibrium quantum many-body systems", Quantum Information Processing 20 4, 138 (2021).

[543] Olivia Di Matteo, Anna McCoy, Peter Gysbers, Takayuki Miyagi, R. M. Woloshyn, and Petr Navrátil, "Improving Hamiltonian encodings with the Gray code", Physical Review A 103 4, 042405 (2021).

[544] Jonah Kudler-Flam, "Relative Entropy of Random States and Black Holes", Physical Review Letters 126 17, 171603 (2021).

[545] Alexandre Choquette, Agustin Di Paolo, Panagiotis Kl. Barkoutsos, David Sénéchal, Ivano Tavernelli, and Alexandre Blais, "Quantum-optimal-control-inspired ansatz for variational quantum algorithms", Physical Review Research 3 2, 023092 (2021).

[546] Shahnawaz Ahmed, Carlos Sánchez Muñoz, Franco Nori, and Anton Frisk Kockum, "Classification and reconstruction of optical quantum states with deep neural networks", Physical Review Research 3 3, 033278 (2021).

[547] Saad Yalouz, Bruno Senjean, Jakob Günther, Francesco Buda, Thomas E. O'Brien, and Lucas Visscher, "A state-averaged orbital-optimized hybrid quantum-classical algorithm for a democratic description of ground and excited states", Quantum Science and Technology 6 2, 024004 (2021).

[548] Yongxin Yao, Feng Zhang, Cai-Zhuang Wang, Kai-Ming Ho, and Peter P. Orth, "Gutzwiller hybrid quantum-classical computing approach for correlated materials", Physical Review Research 3 1, 013184 (2021).

[549] M. G. Blain, R. Haltli, P. Maunz, C. D. Nordquist, M. Revelle, and D. Stick, "Hybrid MEMS-CMOS ion traps for NISQ computing", Quantum Science and Technology 6 3, 034011 (2021).

[550] Yuki Sato, Ruho Kondo, Satoshi Koide, Hideki Takamatsu, and Nobuyuki Imoto, "Variational quantum algorithm based on the minimum potential energy for solving the Poisson equation", Physical Review A 104 5, 052409 (2021).

[551] Hongxiang Chen, Max Nusspickel, Jules Tilly, and George H. Booth, "Variational quantum eigensolver for dynamic correlation functions", Physical Review A 104 3, 032405 (2021).

[552] Brian Coyle, Maxwell Henderson, Justin Chan Jin Le, Niraj Kumar, Marco Paini, and Elham Kashefi, "Quantum versus classical generative modelling in finance", Quantum Science and Technology 6 2, 024013 (2021).

[553] Patrick Huembeli and Alexandre Dauphin, "Characterizing the loss landscape of variational quantum circuits", Quantum Science and Technology 6 2, 025011 (2021).

[554] Kohdai Kuroiwa and Yuya O. Nakagawa, "Penalty methods for a variational quantum eigensolver", Physical Review Research 3 1, 013197 (2021).

[555] John P. T. Stenger, Nicholas T. Bronn, Daniel J. Egger, and David Pekker, "Simulating the dynamics of braiding of Majorana zero modes using an IBM quantum computer", Physical Review Research 3 3, 033171 (2021).

[556] Daniel Herr, Benjamin Obert, and Matthias Rosenkranz, "Anomaly detection with variational quantum generative adversarial networks", Quantum Science and Technology 6 4, 045004 (2021).

[557] Stewart Morawetz, Isaac J. S. De Vlugt, Juan Carrasquilla, and Roger G. Melko, "U(1)-symmetric recurrent neural networks for quantum state reconstruction", Physical Review A 104 1, 012401 (2021).

[558] Karthik Chinni, Pablo M. Poggi, and Ivan H. Deutsch, "Effect of chaos on the simulation of quantum critical phenomena in analog quantum simulators", Physical Review Research 3 3, 033145 (2021).

[559] Eli Chertkov and Bryan K. Clark, "Motif magnetism and quantum many-body scars", Physical Review B 104 10, 104410 (2021).

[560] Shuai-Feng Guo, Feng Chen, Qi Liu, Ming Xue, Jun-Jie Chen, Jia-Hao Cao, Tian-Wei Mao, Meng Khoon Tey, and Li You, "Faster State Preparation across Quantum Phase Transition Assisted by Reinforcement Learning", Physical Review Letters 126 6, 060401 (2021).

[561] Zhide Lu, Pei-Xin Shen, and Dong-Ling Deng, "Markovian Quantum Neuroevolution for Machine Learning", Physical Review Applied 16 4, 044039 (2021).

[562] Yi Xia, Wei Li, Quntao Zhuang, and Zheshen Zhang, "Quantum-Enhanced Data Classification with a Variational Entangled Sensor Network", Physical Review X 11 2, 021047 (2021).

[563] Kenji Kubo, Yuya O. Nakagawa, Suguru Endo, and Shota Nagayama, "Variational quantum simulations of stochastic differential equations", Physical Review A 103 5, 052425 (2021).

[564] George S. Barron, Bryan T. Gard, Orien J. Altman, Nicholas J. Mayhall, Edwin Barnes, and Sophia E. Economou, "Preserving Symmetries for Variational Quantum Eigensolvers in the Presence of Noise", Physical Review Applied 16 3, 034003 (2021).

[565] Shunji Matsuura, Samantha Buck, Valentin Senicourt, and Arman Zaribafiyan, "Variationally scheduled quantum simulation", Physical Review A 103 5, 052435 (2021).

[566] Megan L. Dahlhauser and Travis S. Humble, "Modeling noisy quantum circuits using experimental characterization", Physical Review A 103 4, 042603 (2021).

[567] Shelly Garion, Naoki Kanazawa, Haggai Landa, David C. McKay, Sarah Sheldon, Andrew W. Cross, and Christopher J. Wood, "Experimental implementation of non-Clifford interleaved randomized benchmarking with a controlled-S gate", Physical Review Research 3 1, 013204 (2021).

[568] Changhun Oh, Kyungjoo Noh, Bill Fefferman, and Liang Jiang, "Classical simulation of lossy boson sampling using matrix product operators", Physical Review A 104 2, 022407 (2021).

[569] Samuel Fernández-Lorenzo, Diego Porras, and Juan José García-Ripoll, "Hybrid quantum-classical optimization with cardinality constraints and applications to finance", Quantum Science and Technology 6 3, 034010 (2021).

[570] Feng Zhang, Niladri Gomes, Noah F. Berthusen, Peter P. Orth, Cai-Zhuang Wang, Kai-Ming Ho, and Yong-Xin Yao, "Shallow-circuit variational quantum eigensolver based on symmetry-inspired Hilbert space partitioning for quantum chemical calculations", Physical Review Research 3 1, 013039 (2021).

[571] Joonho Kim, Jaedeok Kim, and Dario Rosa, "Universal effectiveness of high-depth circuits in variational eigenproblems", Physical Review Research 3 2, 023203 (2021).

[572] Rebecca Hicks, Christian W. Bauer, and Benjamin Nachman, "Readout rebalancing for near-term quantum computers", Physical Review A 103 2, 022407 (2021).

[573] Shiro Tamiya, Sho Koh, and Yuya O. Nakagawa, "Calculating nonadiabatic couplings and Berry's phase by variational quantum eigensolvers", Physical Review Research 3 2, 023244 (2021).

[574] Michael L. Wall, Matthew R. Abernathy, and Gregory Quiroz, "Generative machine learning with tensor networks: Benchmarks on near-term quantum computers", Physical Review Research 3 2, 023010 (2021).

[575] Chee Kong Lee, Pranay Patil, Shengyu Zhang, and Chang Yu Hsieh, "Neural-network variational quantum algorithm for simulating many-body dynamics", Physical Review Research 3 2, 023095 (2021).

[576] Daniel A. Paz and Mohammad F. Maghrebi, "Driven-dissipative Ising model: An exact field-theoretical analysis", Physical Review A 104 2, 023713 (2021).

[577] Zbigniew Puchała, Kamil Korzekwa, Roberto Salazar, Paweł Horodecki, and Karol Życzkowski, "Dephasing superchannels", Physical Review A 104 5, 052611 (2021).

[578] Jinfeng Zeng, Chenfeng Cao, Chao Zhang, Pengxiang Xu, and Bei Zeng, "A variational quantum algorithm for Hamiltonian diagonalization", Quantum Science and Technology 6 4, 045009 (2021).

[579] Xiao-Ming Zhang, Weicheng Kong, Muhammad Usman Farooq, Man-Hong Yung, Guoping Guo, and Xin Wang, "Generic detection-based error mitigation using quantum autoencoders", Physical Review A 103 4, L040403 (2021).

[580] Cillian Harney, Leonardo Banchi, and Stefano Pirandola, "Ultimate limits of thermal pattern recognition", Physical Review A 103 5, 052406 (2021).

[581] Ana Martin, Bruno Candelas, Ángel Rodríguez-Rozas, José D. Martín-Guerrero, Xi Chen, Lucas Lamata, Román Orús, Enrique Solano, and Mikel Sanz, "Toward pricing financial derivatives with an IBM quantum computer", Physical Review Research 3 1, 013167 (2021).

[582] Nhat A. Nghiem, Samuel Yen-Chi Chen, and Tzu-Chieh Wei, "Unified framework for quantum classification", Physical Review Research 3 3, 033056 (2021).

[583] Emiel Koridon, Saad Yalouz, Bruno Senjean, Francesco Buda, Thomas E. O'Brien, and Lucas Visscher, "Orbital transformations to reduce the 1-norm of the electronic structure Hamiltonian for quantum computing applications", Physical Review Research 3 3, 033127 (2021).

[584] Yadong Wu, Juan Yao, Pengfei Zhang, and Hui Zhai, "Expressivity of quantum neural networks", Physical Review Research 3 3, L032049 (2021).

[585] Yadong Wu, Pengfei Zhang, and Hui Zhai, "Scrambling ability of quantum neural network architectures", Physical Review Research 3 3, L032057 (2021).

[586] Ilya G. Ryabinkin, Artur F. Izmaylov, and Scott N. Genin, "A posteriori corrections to the iterative qubit coupled cluster method to minimize the use of quantum resources in large-scale calculations", Quantum Science and Technology 6 2, 024012 (2021).

[587] M. Cerezo, Akira Sone, Jacob L. Beckey, and Patrick J. Coles, "Sub-quantum Fisher information", Quantum Science and Technology 6 3, 035008 (2021).

[588] Alexis Ralli, Peter J. Love, Andrew Tranter, and Peter V. Coveney, "Implementation of measurement reduction for the variational quantum eigensolver", Physical Review Research 3 3, 033195 (2021).

[589] Xiaoqiang Wang, Lejia Gu, Heung-wing Lee, and Guofeng Zhang, "Quantum context-aware recommendation systems based on tensor singular value decomposition", Quantum Information Processing 20 5, 190 (2021).

[590] Vincent Paul Su, "Variational preparation of the thermofield double state of the Sachdev-Ye-Kitaev model", Physical Review A 104 1, 012427 (2021).

[591] Davide Bacco, Jacob F. F. Bulmer, Manuel Erhard, Marcus Huber, and Stefano Paesani, "Proposal for practical multidimensional quantum networks", Physical Review A 104 5, 052618 (2021).

[592] Daniel Claudino, Bo Peng, Nicholas P. Bauman, Karol Kowalski, and Travis S. Humble, "Improving the accuracy and efficiency of quantum connected moments expansions", Quantum Science and Technology 6 3, 034012 (2021).

[593] Andrey Kardashin, Anastasiia Pervishko, Jacob Biamonte, and Dmitry Yudin, "Numerical hardware-efficient variational quantum simulation of a soliton solution", Physical Review A 104 2, L020402 (2021).

[594] Nicolas Schwaller, Marc-André Dupertuis, and Clément Javerzac-Galy, "Evidence of the entanglement constraint on wave-particle duality using the IBM Q quantum computer", Physical Review A 103 2, 022409 (2021).

[595] Kenneth Robbins and Peter J. Love, "Benchmarking near-term quantum devices with the variational quantum eigensolver and the Lipkin-Meshkov-Glick model", Physical Review A 104 2, 022412 (2021).

[596] Kevin C. Smith, Aniruddha Bhattacharya, and David J. Masiello, "Exact k -body representation of the Jaynes-Cummings interaction in the dressed basis: Insight into many-body phenomena with light", Physical Review A 104 1, 013707 (2021).

[597] Albert Benseny and Klaus Mølmer, "Adiabatic theorem revisited: The unexpectedly good performance of adiabatic passage", Physical Review A 103 6, 062215 (2021).

[598] Dylan Lewis, Asmae Benhemou, Natasha Feinstein, Leonardo Banchi, and Sougato Bose, "Optimal Quantum Spatial Search with One-Dimensional Long-Range Interactions", Physical Review Letters 126 24, 240502 (2021).

[599] Ludovico Lami, "Quantum data hiding with continuous-variable systems", Physical Review A 104 5, 052428 (2021).

[600] Simon Milz, Dominic Jurkschat, Felix A. Pollock, and Kavan Modi, "Delayed-choice causal order and nonclassical correlations", Physical Review Research 3 2, 023028 (2021).

[601] Supanut Thanasilp, Jirawat Tangpanitanon, Marc-Antoine Lemonde, Ninnat Dangniam, and Dimitris G. Angelakis, "Quantum supremacy and quantum phase transitions", Physical Review B 103 16, 165132 (2021).

[602] Konstantinos Georgopoulos, Clive Emary, and Paolo Zuliani, "Comparison of quantum-walk implementations on noisy intermediate-scale quantum computers", Physical Review A 103 2, 022408 (2021).

[603] Matthew Otten, Keshav Kapoor, A. Barış Özgüler, Eric T. Holland, James B. Kowalkowski, Yuri Alexeev, and Adam L. Lyon, "Impacts of noise and structure on quantum information encoded in a quantum memory", Physical Review A 104 1, 012605 (2021).

[604] Chunfeng Huang, Tianyu Huang, Qianyu Lin, and Kejin Wei, "Blinding quantum computation using alternative sources", Physical Review A 104 1, 012614 (2021).

[605] Sean Greenaway, Frédéric Sauvage, Kiran E. Khosla, and Florian Mintert, "Efficient assessment of process fidelity", Physical Review Research 3 3, 033031 (2021).

[606] Kok Chuan Tan and Tyler Volkoff, "Variational quantum algorithms to estimate rank, quantum entropies, fidelity, and Fisher information via purity minimization", Physical Review Research 3 3, 033251 (2021).

[607] Yoshifumi Nakata, Eyuri Wakakuwa, and Hayata Yamasaki, "One-shot quantum error correction of classical and quantum information", Physical Review A 104 1, 012408 (2021).

[608] Yihong Zhang, Yifan Tang, You Zhou, and Xiongfeng Ma, "Efficient entanglement generation and detection of generalized stabilizer states", Physical Review A 103 5, 052426 (2021).

[609] Davide Girolami and Fabio Anzà, "Quantifying the Difference between Many-Body Quantum States", Physical Review Letters 126 17, 170502 (2021).

[610] Yifei Huang and Peter Love, "Feynman-path-type simulation using stabilizer projector decomposition of unitaries", Physical Review A 103 2, 022428 (2021).

[611] Davide Rattacaso, Gianluca Passarelli, Antonio Mezzacapo, Procolo Lucignano, and Rosario Fazio, "Optimal parent Hamiltonians for time-dependent states", Physical Review A 104 2, 022611 (2021).

[612] Alexandru Paler, Alwin Zulehner, and Robert Wille, "NISQ circuit compilation is the travelling salesman problem on a torus", Quantum Science and Technology 6 2, 025016 (2021).

[613] Brian Barch, Razieh Mohseninia, and Daniel Lidar, "Low overhead universality and quantum supremacy using only Z control", Physical Review Research 3 3, 033207 (2021).

[614] Piotr Szańkowski, "Measuring trajectories of environmental noise", Physical Review A 104 2, 022202 (2021).

[615] Guillermo González, Rahul Trivedi, and J. Ignacio Cirac, "Quantum algorithms for powering stable Hermitian matrices", Physical Review A 103 6, 062420 (2021).

[616] Lucas Kocia and Mohan Sarovar, "Classical simulation of quantum circuits using fewer Gaussian eliminations", Physical Review A 103 2, 022603 (2021).

[617] Yi-Te Huang, Jhen-Dong Lin, Huan-Yu Ku, and Yueh-Nan Chen, "Benchmarking quantum state transfer on quantum devices", Physical Review Research 3 2, 023038 (2021).

[618] Sergi Ramos-Calderer, Emanuele Bellini, José I. Latorre, Marc Manzano, and Victor Mateu, "Quantum search for scaled hash function preimages", Quantum Information Processing 20 5, 180 (2021).

[619] Jyoti Faujdar and Atul Kumar, "A comparative study to analyze efficiencies of (N +2 ) -qubit partially entangled states in real conditions from the perspective of N controllers", Quantum Information Processing 20 2, 64 (2021).

[620] Jelmer J. Renema, Hui Wang, Jian Qin, Xiang You, Chaoyang Lu, and Jianwei Pan, "Sample-efficient benchmarking of multiphoton interference on a boson sampler in the sparse regime", Physical Review A 103 2, 023722 (2021).

[621] Wooyeong Song, Youngrong Lim, Hyukjoon Kwon, Gerardo Adesso, Marcin Wieśniak, Marcin Pawłowski, Jaewan Kim, and Jeongho Bang, "Quantum secure learning with classical samples", Physical Review A 103 4, 042409 (2021).

[622] Jacob Chevalier Drori, Yordan S. Yordanov, Thierry Ferrus, Matthew Applegate, and Crispin H. W. Barnes, "Invariant subspaces of two-qubit quantum gates and their application in the verification of quantum computers", Physical Review A 104 5, 052619 (2021).

[623] Michael J. Hartmann and Frank Deppe, "Erste Demonstration von Quantenüberlegenheit", Physik in unserer Zeit 52 1, 12 (2021).

[624] Alexandre Blais, Arne L. Grimsmo, S. M. Girvin, and Andreas Wallraff, "Circuit quantum electrodynamics", Reviews of Modern Physics 93 2, 025005 (2021).

[625] C. Monroe, W. C. Campbell, L. -M. Duan, Z. -X. Gong, A. V. Gorshkov, P. W. Hess, R. Islam, K. Kim, N. M. Linke, G. Pagano, P. Richerme, C. Senko, and N. Y. Yao, "Programmable quantum simulations of spin systems with trapped ions", Reviews of Modern Physics 93 2, 025001 (2021).

[626] Piotr Czarnik, Andrew Arrasmith, Patrick J. Coles, and Lukasz Cincio, "Error mitigation with Clifford quantum-circuit data", Quantum 5, 592 (2021).

[627] Avinash Chalumuri, Raghavendra Kune, S. Kannan, and B. S. Manoj, "Quantum-enhanced deep neural network architecture for image scene classification", Quantum Information Processing 20 11, 381 (2021).

[628] William J. Huggins, Jarrod R. McClean, Nicholas C. Rubin, Zhang Jiang, Nathan Wiebe, K. Birgitta Whaley, and Ryan Babbush, "Efficient and noise resilient measurements for quantum chemistry on near-term quantum computers", npj Quantum Information 7, 23 (2021).

[629] Jan F. Haase, Luca Dellantonio, Alessio Celi, Danny Paulson, Angus Kan, Karl Jansen, and Christine A. Muschik, "A resource efficient approach for quantum and classical simulations of gauge theories in particle physics", Quantum 5, 393 (2021).

[630] Antoine Neven, Jose Carrasco, Vittorio Vitale, Christian Kokail, Andreas Elben, Marcello Dalmonte, Pasquale Calabrese, Peter Zoller, Benoît Vermersch, Richard Kueng, and Barbara Kraus, "Symmetry-resolved entanglement detection using partial transpose moments", npj Quantum Information 7, 152 (2021).

[631] John M. Martinis, "Saving superconducting quantum processors from decay and correlated errors generated by gamma and cosmic rays", npj Quantum Information 7, 90 (2021).

[632] Sowmitra Das, Md. Saifur Rahman, and Mahbub Majumdar, "Design of a quantum repeater using quantum circuits and benchmarking its performance on an IBM quantum computer", Quantum Information Processing 20 7, 245 (2021).

[633] Ophelia Crawford, Barnaby van Straaten, Daochen Wang, Thomas Parks, Earl Campbell, and Stephen Brierley, "Efficient quantum measurement of Pauli operators in the presence of finite sampling error", Quantum 5, 385 (2021).

[634] Zhenyu Cai, "Multi-exponential error extrapolation and combining error mitigation techniques for NISQ applications", npj Quantum Information 7, 80 (2021).

[635] Jonathan Wei Zhong Lau, Kian Hwee Lim, Harshank Shrotriya, and Leong Chuan Kwek, "NISQ computing: where are we and where do we go?", Association of Asia Pacific Physical Societies Bulletin 32 1, 27 (2022).

[636] Matija Medvidović and Giuseppe Carleo, "Classical variational simulation of the Quantum Approximate Optimization Algorithm", npj Quantum Information 7, 101 (2021).

[637] Junhua Liu, Kwan Hui Lim, Kristin L. Wood, Wei Huang, Chu Guo, and He-Liang Huang, "Hybrid quantum-classical convolutional neural networks", Science China Physics, Mechanics, and Astronomy 64 9, 290311 (2021).

[638] Johannes Jakob Meyer, "Fisher Information in Noisy Intermediate-Scale Quantum Applications", Quantum 5, 539 (2021).

[639] Evan Peters, João Caldeira, Alan Ho, Stefan Leichenauer, Masoud Mohseni, Hartmut Neven, Panagiotis Spentzouris, Doug Strain, and Gabriel N. Perdue, "Machine learning of high dimensional data on a noisy quantum processor", npj Quantum Information 7, 161 (2021).

[640] Peng Zhao, Yingshan Zhang, Guangming Xue, Yirong Jin, and Haifeng Yu, "Tunable coupling of widely separated superconducting qubits: A possible application toward a modular quantum device", Applied Physics Letters 121 3, 032601 (2022).

[641] Alexander M. Dalzell, Nicholas Hunter-Jones, and Fernando G. S. L. Brandão, "Random quantum circuits transform local noise into global white noise", arXiv:2111.14907, (2021).

[642] Leonardo Banchi and Gavin E. Crooks, "Measuring Analytic Gradients of General Quantum Evolution with the Stochastic Parameter Shift Rule", Quantum 5, 386 (2021).

[643] Takeru Kusumoto, Kosuke Mitarai, Keisuke Fujii, Masahiro Kitagawa, and Makoto Negoro, "Experimental quantum kernel trick with nuclear spins in a solid", npj Quantum Information 7, 94 (2021).

[644] Johannes Jakob Meyer, Johannes Borregaard, and Jens Eisert, "A variational toolbox for quantum multi-parameter estimation", npj Quantum Information 7, 89 (2021).

[645] Hirofumi Nishi, Taichi Kosugi, and Yu-ichiro Matsushita, "Implementation of quantum imaginary-time evolution method on NISQ devices by introducing nonlocal approximation", npj Quantum Information 7, 85 (2021).

[646] Kouhei Nakaji and Naoki Yamamoto, "Expressibility of the alternating layered ansatz for quantum computation", Quantum 5, 434 (2021).

[647] Chen Zhao and Xiao-Shan Gao, "Analyzing the barren plateau phenomenon in training quantum neural networks with the ZX-calculus", Quantum 5, 466 (2021).

[648] Arthur G. Rattew, Yue Sun, Pierre Minssen, and Marco Pistoia, "The Efficient Preparation of Normal Distributions in Quantum Registers", Quantum 5, 609 (2021).

[649] Stefan H. Sack and Maksym Serbyn, "Quantum annealing initialization of the quantum approximate optimization algorithm", Quantum 5, 491 (2021).

[650] Chris N. Self, Kiran E. Khosla, Alistair W. R. Smith, Frédéric Sauvage, Peter D. Haynes, Johannes Knolle, Florian Mintert, and M. S. Kim, "Variational quantum algorithm with information sharing", npj Quantum Information 7, 116 (2021).

[651] Kun Zhang, Pooja Rao, Kwangmin Yu, Hyunkyung Lim, and Vladimir Korepin, "Implementation of efficient quantum search algorithms on NISQ computers", Quantum Information Processing 20 7, 233 (2021).

[652] Oinam Romesh Meitei, Bryan T. Gard, George S. Barron, David P. Pappas, Sophia E. Economou, Edwin Barnes, and Nicholas J. Mayhall, "Gate-free state preparation for fast variational quantum eigensolver simulations", npj Quantum Information 7, 155 (2021).

[653] Sarmed A Rahman, Randy Lewis, Emanuele Mendicelli, and Sarah Powell, "SU(2) lattice gauge theory on a quantum annealer", arXiv:2103.08661, (2021).

[654] Benjamin A. Cordier, Nicolas P. D. Sawaya, Gian G. Guerreschi, and Shannon K. McWeeney, "Biology and medicine in the landscape of quantum advantages", arXiv:2112.00760, (2021).

[655] Kunal Marwaha, "Local classical MAX-CUT algorithm outperforms p=2 QAOA on high-girth regular graphs", Quantum 5, 437 (2021).

[656] Ensar Vahapoglu, James P. Slack-Smith, Ross C. C. Leon, Wee Han Lim, Fay E. Hudson, Tom Day, Tuomo Tanttu, Chih Hwan Yang, Arne Laucht, Andrew S. Dzurak, and Jarryd J. Pla, "Single-electron spin resonance in a nanoelectronic device using a global field", Science Advances 7 33, eabg9158 (2021).

[657] Michael A. Perlin, Zain H. Saleem, Martin Suchara, and James C. Osborn, "Quantum circuit cutting with maximum-likelihood tomography", npj Quantum Information 7, 64 (2021).

[658] Xuanqiang Zhao, Benchi Zhao, Zihe Wang, Zhixin Song, and Xin Wang, "Practical distributed quantum information processing with LOCCNet", npj Quantum Information 7, 159 (2021).

[659] Casper Gyurik, Dyon van Vreumingen, and Vedran Dunjko, "Structural risk minimization for quantum linear classifiers", arXiv:2105.05566, (2021).

[660] Cahit Kargi, Juan Pablo Dehollain, Lukas M. Sieberer, Fabio Henriques, Tobias Olsacher, Philipp Hauke, Markus Heyl, Peter Zoller, and Nathan K. Langford, "Quantum Chaos and Universal Trotterisation Behaviours in Digital Quantum Simulations", arXiv:2110.11113, (2021).

[661] Xin Wang, Zhixin Song, and Youle Wang, "Variational Quantum Singular Value Decomposition", Quantum 5, 483 (2021).

[662] Philippe Suchsland, Francesco Tacchino, Mark H. Fischer, Titus Neupert, Panagiotis Kl. Barkoutsos, and Ivano Tavernelli, "Algorithmic Error Mitigation Scheme for Current Quantum Processors", Quantum 5, 492 (2021).

[663] Filip B. Maciejewski, Flavio Baccari, Zoltán Zimborás, and Michał Oszmaniec, "Modeling and mitigation of cross-talk effects in readout noise with applications to the Quantum Approximate Optimization Algorithm", Quantum 5, 464 (2021).

[664] Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, and Paolo Stornati, "Dimensional Expressivity Analysis of Parametric Quantum Circuits", Quantum 5, 422 (2021).

[665] Aidan Pellow-Jarman, Ilya Sinayskiy, Anban Pillay, and Francesco Petruccione, "A comparison of various classical optimizers for a variational quantum linear solver", Quantum Information Processing 20 6, 202 (2021).

[666] Jiaqing Jiang, Kun Wang, and Xin Wang, "Physical Implementability of Linear Maps and Its Application in Error Mitigation", Quantum 5, 600 (2021).

[667] Timm Fabian Mörstedt, Arto Viitanen, Vasilii Vadimov, Vasilii Sevriuk, Matti Partanen, Eric Hyyppä, Gianluigi Catelani, Matti Silveri, Kuan Yen Tan, and Mikko Möttönen, "Recent Developments in Quantum-Circuit Refrigeration", Annalen der Physik 534 7, 2100543 (2022).

[668] Aneirin J. Baker, Gerhard B. P. Huber, Niklas J. Glaser, Federico Roy, Ivan Tsitsilin, Stefan Filipp, and Michael J. Hartmann, "Single shot i-Toffoli gate in dispersively coupled superconducting qubits", Applied Physics Letters 120 5, 054002 (2022).

[669] Nathan Holman, D. Rosenberg, D. Yost, J. L. Yoder, R. Das, William D. Oliver, R. McDermott, and M. A. Eriksson, "3D integration and measurement of a semiconductor double quantum dot with a high-impedance TiN resonator", npj Quantum Information 7, 137 (2021).

[670] Xiao Yuan, Yunchao Liu, Qi Zhao, Bartosz Regula, Jayne Thompson, and Mile Gu, "Universal and operational benchmarking of quantum memories", npj Quantum Information 7, 108 (2021).

[671] Kosuke Mitarai and Keisuke Fujii, "Overhead for simulating a non-local channel with local channels by quasiprobability sampling", Quantum 5, 388 (2021).

[672] Xinbiao Wang, Yuxuan Du, Yong Luo, and Dacheng Tao, "Towards understanding the power of quantum kernels in the NISQ era", Quantum 5, 531 (2021).

[673] Christian W. Bauer, Plato Deliyannis, Marat Freytsis, and Benjamin Nachman, "Practical considerations for the preparation of multivariate Gaussian states on quantum computers", arXiv:2109.10918, (2021).

[674] Romina Yalovetzky, Pierre Minssen, Dylan Herman, and Marco Pistoia, "Hybrid HHL with Dynamic Quantum Circuits on Real Hardware", arXiv:2110.15958, (2021).

[675] Chun-Jun Cao, "From Quantum Codes to Gravity: A Journey of Gravitizing Quantum Mechanics", Universe 8 1, 1 (2021).

[676] Lasse Bjørn Kristensen, Matthias Degroote, Peter Wittek, Alán Aspuru-Guzik, and Nikolaj T. Zinner, "An artificial spiking quantum neuron", npj Quantum Information 7, 59 (2021).

[677] Emilio Onorati, Tamara Kohler, and Toby S. Cubitt, "Fitting quantum noise models to tomography data", arXiv:2103.17243, (2021).

[678] Leo Zhou and Dorit Aharonov, "Strongly Universal Hamiltonian Simulators", arXiv:2102.02991, (2021).

[679] Ulysse Chabaud, Pierre-Emmanuel Emeriau, and Frédéric Grosshans, "Witnessing Wigner Negativity", Quantum 5, 471 (2021).

[680] Kaixuan Huang, Zheng-An Wang, Chao Song, Kai Xu, Hekang Li, Zhen Wang, Qiujiang Guo, Zixuan Song, Zhi-Bo Liu, Dongning Zheng, Dong-Ling Deng, H. Wang, Jian-Guo Tian, and Heng Fan, "Quantum generative adversarial networks with multiple superconducting qubits", npj Quantum Information 7, 165 (2021).

[681] Cillian Harney and Stefano Pirandola, "Idler-free multi-channel discrimination via multipartite probe states", npj Quantum Information 7, 153 (2021).

[682] Mingxia Huo and Ying Li, "Error-resilient Monte Carlo quantum simulation of imaginary time", arXiv:2109.07807, (2021).

[683] F. Petiziol, A. Chiesa, S. Wimberger, P. Santini, and S. Carretta, "Counteracting dephasing in Molecular Nanomagnets by optimized qudit encodings", npj Quantum Information 7, 133 (2021).

[684] Justin Yirka and Yiğit Subaşı, "Qubit-efficient entanglement spectroscopy using qubit resets", Quantum 5, 535 (2021).

[685] Naeimeh Mohseni, Marek Narozniak, Alexey N. Pyrkov, Valentin Ivannikov, Jonathan P. Dowling, and Tim Byrnes, "Error suppression in adiabatic quantum computing with qubit ensembles", npj Quantum Information 7, 71 (2021).

[686] Peihao Huang and Xuedong Hu, "Fast spin-valley-based quantum gates in Si with micromagnets", npj Quantum Information 7, 162 (2021).

[687] Kazuki Ikeda, "Quantum contracts between Schrödinger and a cat", Quantum Information Processing 20 9, 313 (2021).

[688] N. Slate, E. Matwiejew, S. Marsh, and J. B. Wang, "Quantum walk-based portfolio optimisation", Quantum 5, 513 (2021).

[689] Christina Giarmatzi and Fabio Costa, "Witnessing quantum memory in non-Markovian processes", Quantum 5, 440 (2021).

[690] David Fitzek, Toheed Ghandriz, Leo Laine, Mats Granath, and Anton Frisk Kockum, "Applying quantum approximate optimization to the heterogeneous vehicle routing problem", arXiv:2110.06799, (2021).

[691] Chenyi Zhang, Jiaqi Leng, and Tongyang Li, "Quantum algorithms for escaping from saddle points", Quantum 5, 529 (2021).

[692] Bülent Demirel, Weikai Weng, Christopher Thalacker, Matty Hoban, and Stefanie Barz, "Correlations for computation and computation for correlations", npj Quantum Information 7, 29 (2021).

[693] Scott Aaronson, "Open Problems Related to Quantum Query Complexity", arXiv:2109.06917, (2021).

[694] Ryan Shaffer, Eli Megidish, Joseph Broz, Wei-Ting Chen, and Hartmut Häffner, "Practical verification protocols for analog quantum simulators", npj Quantum Information 7, 46 (2021).

[695] Daiqin Su, Robert Israel, Kunal Sharma, Haoyu Qi, Ish Dhand, and Kamil Brádler, "Error mitigation on a near-term quantum photonic device", Quantum 5, 452 (2021).

[696] Awais Khan, Junaid ur Rehman, and Hyundong Shin, "Quantum anonymous notification for network-based applications", Quantum Information Processing 20 12, 397 (2021).

[697] Chang Yu Hsieh, Qiming Sun, Shengyu Zhang, and Chee Kong Lee, "Unitary-coupled restricted Boltzmann machine ansatz for quantum simulations", npj Quantum Information 7, 19 (2021).

[698] Siyuan Niu and Aida Todri-Sanial, "Enabling Multi-programming Mechanism for Quantum Computing in the NISQ Era", arXiv:2102.05321, (2021).

[699] Alexandre M. Souza, "Process tomography of robust dynamical decoupling with superconducting qubits", Quantum Information Processing 20 7, 237 (2021).

[700] Ulysse Chabaud, Damian Markham, and Adel Sohbi, "Quantum machine learning with adaptive linear optics", Quantum 5, 496 (2021).

[701] Alexander M. Jakob, Simon G. Robson, Vivien Schmitt, Vincent Mourik, Matthias Posselt, Daniel Spemann, Brett C. Johnson, Hannes R. Firgau, Edwin Mayes, Jeffrey C. McCallum, Andrea Morello, and David N. Jamieson, "Deterministic Shallow Dopant Implantation in Silicon with Detection Confidence Upper-Bound to 99.85% by Ion-Solid Interactions", Advanced Materials 34 3, 2103235 (2022).

[702] Ruixia Wang, Peng Zhao, Yirong Jin, and Haifeng Yu, "Control and mitigation of microwave crosstalk effect with superconducting qubits", Applied Physics Letters 121 15, 152602 (2022).

[703] Gabriel Margiani, Sebastián Guerrero, Toni L. Heugel, Christian Marty, Raphael Pachlatko, Thomas Gisler, Gabrielle D. Vukasin, Hyun-Keun Kwon, James M. L. Miller, Nicholas E. Bousse, Thomas W. Kenny, Oded Zilberberg, Deividas Sabonis, and Alexander Eichler, "Extracting the lifetime of a synthetic two-level system", Applied Physics Letters 121 16, 164101 (2022).

[704] Yilun Xu, Gang Huang, David I. Santiago, and Irfan Siddiqi, "Radio frequency mixing modules for superconducting qubit room temperature control systems", Review of Scientific Instruments 92 7, 075108 (2021).

[705] Benjamin Tan, Marc-Antoine Lemonde, Supanut Thanasilp, Jirawat Tangpanitanon, and Dimitris G. Angelakis, "Qubit-efficient encoding schemes for binary optimisation problems", Quantum 5, 454 (2021).

[706] Soumik Adhikary, "Entanglement assisted training algorithm for supervised quantum classifiers", Quantum Information Processing 20 8, 254 (2021).

[707] Kevin Slagle, "Testing Quantum Mechanics using Noisy Quantum Computers", arXiv:2108.02201, (2021).

[708] Oscar Higgott, Matthew Wilson, James Hefford, James Dborin, Farhan Hanif, Simon Burton, and Dan E. Browne, "Optimal local unitary encoding circuits for the surface code", Quantum 5, 517 (2021).

[709] F. Holik, M. Losada, H. Freytes, A. Plastino, and G. Sergioli, "Partial orbits of quantum gates and full three-particle entanglement", Quantum Information Processing 20 10, 351 (2021).

[710] K. Bertels, A. Sarkar, A. Krol, R. Budhrani, J. Samadi, E. Geoffroy, J. Matos, R. Abreu, G. Gielen, and I. Ashraf, "Quantum Accelerator Stack: A Research Roadmap", arXiv:2102.02035, (2021).

[711] Hiroshi C. Watanabe, Rudy Raymond, Yu-ya Ohnishi, Eriko Kaminishi, and Michihiko Sugawara, "Optimizing Parameterized Quantum Circuits with Free-Axis Selection", arXiv:2104.14875, (2021).

[712] Bo Peng and Karol Kowalski, "Variational quantum solver employing the PDS energy functional", Quantum 5, 473 (2021).

[713] Steven Herbert, Roland Guichard, and Darren Ng, "Noise-Aware Quantum Amplitude Estimation", arXiv:2109.04840, (2021).

[714] Maurice Weber, Nana Liu, Bo Li, Ce Zhang, and Zhikuan Zhao, "Optimal provable robustness of quantum classification via quantum hypothesis testing", npj Quantum Information 7, 76 (2021).

[715] Ramin Ayanzadeh, Poulami Das, Swamit S. Tannu, and Moinuddin Qureshi, "EQUAL: Improving the Fidelity of Quantum Annealers by Injecting Controlled Perturbations", arXiv:2108.10964, (2021).

[716] T. J. Sturges, T. McDermott, A. Buraczewski, W. R. Clements, J. J. Renema, S. W. Nam, T. Gerrits, A. Lita, W. S. Kolthammer, A. Eckstein, I. A. Walmsley, and M. Stobińska, "Quantum simulations with multiphoton Fock states", npj Quantum Information 7, 91 (2021).

[717] Yongsoo Hwang and Byung-Soo Choi, "Hierarchical system mapping for large-scale fault-tolerant quantum computing", Quantum Information Processing 20 6, 215 (2021).

[718] Valery Shchesnovich, "Distinguishing noisy boson sampling from classical simulations", Quantum 5, 423 (2021).

[719] Jaesung Lee, Matthew D. LaHaye, and Philip X. -L. Feng, "Design of strongly nonlinear graphene nanoelectromechanical systems in quantum regime", Applied Physics Letters 120 1, 014001 (2022).

[720] Heng Fan, "Efficient implementation of quantum arithmetic operation circuits", Science China Physics, Mechanics, and Astronomy 64 1, 210332 (2021).

[721] Bill Poirier, "Efficient Evaluation of Exponential and Gaussian Functions on a Quantum Computer", arXiv:2110.05653, (2021).

[722] M. R. Perelshtein, A. I. Pakhomchik, A. A. Melnikov, A. A. Novikov, A. Glatz, G. S. Paraoanu, V. M. Vinokur, and G. B. Lesovik, "Solving Large-Scale Linear Systems of Equations by a Quantum Hybrid Algorithm", Annalen der Physik 534 7, 2200082 (2022).

[723] Poulami Das, Swamit Tannu, Siddharth Dangwal, and Moinuddin Qureshi, "ADAPT: Mitigating Idling Errors in Qubits via Adaptive Dynamical Decoupling", arXiv:2109.05309, (2021).

[724] Stig Elkjær Rasmussen and Nikolaj Thomas Zinner, "Parameterized Two-Qubit Gates for Enhanced Variational Quantum Eigensolver", Annalen der Physik 534 12, 2200338 (2022).

[725] Y. Herasymenko and T. E. O'Brien, "A diagrammatic approach to variational quantum ansatz construction", Quantum 5, 596 (2021).

[726] Johannes Borregaard, Matthias Christandl, and Daniel Stilck França, "Noise-robust exploration of many-body quantum states on near-term quantum devices", npj Quantum Information 7, 45 (2021).

[727] Raustin Reyes, Takaya Nakazato, Nobuaki Imaike, Kazuyasu Matsuda, Kazuya Tsurumoto, Yuhei Sekiguchi, and Hideo Kosaka, "Complete Bell state measurement of diamond nuclear spins under a complete spatial symmetry at zero magnetic field", Applied Physics Letters 120 19, 194002 (2022).

[728] Yi-Ting Chen, Collin Farquhar, and Robert M. Parrish, "Low-rank density-matrix evolution for noisy quantum circuits", npj Quantum Information 7, 61 (2021).

[729] Susan M. Clark, Daniel Lobser, Melissa Revelle, Christopher G. Yale, David Bossert, Ashlyn D. Burch, Matthew N. Chow, Craig W. Hogle, Megan Ivory, Jessica Pehr, Bradley Salzbrenner, Daniel Stick, William Sweatt, Joshua M. Wilson, Edward Winrow, and Peter Maunz, "Engineering the Quantum Scientific Computing Open User Testbed (QSCOUT): Design details and user guide", arXiv:2104.00759, (2021).

[730] Weijie Du, James P. Vary, Xingbo Zhao, and Wei Zuo, "Ab initio nuclear structure via quantum adiabatic algorithm", arXiv:2105.08910, (2021).

[731] Ying Chen, Yunheng Ma, and Shun Zhou, "Quantum Simulations of the Non-Unitary Time Evolution and Applications to Neutral-Kaon Oscillations", arXiv:2105.04765, (2021).

[732] Zbigniew Puchała, Łukasz Pawela, Aleksandra Krawiec, Ryszard Kukulski, and Michał Oszmaniec, "Multiple-shot and unambiguous discrimination of von Neumann measurements", Quantum 5, 425 (2021).

[733] Kieu Quang Tuan, Hung Q. Nguyen, and Le Bin Ho, "Direct state measurements under state-preparation-and-measurement errors", Quantum Information Processing 20 6, 197 (2021).

[734] Dong-Ling Deng, "Quantum enhanced convolutional neural networks for NISQ computers", Science China Physics, Mechanics, and Astronomy 64 10, 100331 (2021).

[735] Lin Htoo Zaw, Yuanzheng Paul Tan, Long Hoang Nguyen, Rangga P. Budoyo, Kun Hee Park, Zhi Yang Koh, Alessandro Landra, Christoph Hufnagel, Yung Szen Yap, Teck Seng Koh, and Rainer Dumke, "Ghost factors in Gauss-sum factorization with transmon qubits", arXiv:2104.11368, (2021).

[736] M. Mahdian and H. Davoodi Yeganeh, "Toward a quantum computing algorithm to quantify classical and quantum correlation of system states", Quantum Information Processing 20 12, 393 (2021).

[737] Youle Wang, Guangxi Li, and Xin Wang, "A Hybrid Quantum-Classical Hamiltonian Learning Algorithm", arXiv:2103.01061, (2021).

[738] Kang Cai, Prabin Parajuli, Guilu Long, Chee Wei Wong, and Lin Tian, "Robust preparation of many-body ground states in Jaynes-Cummings lattices", npj Quantum Information 7, 96 (2021).

[739] Poulami Das, Swamit Tannu, and Moinuddin Qureshi, "JigSaw: Boosting Fidelity of NISQ Programs via Measurement Subsetting", arXiv:2109.05314, (2021).

[740] Valeria Saggio and Philip Walther, "Few-Copy Entanglement Detection in the Presence of Noise", Annalen der Physik 534 7, 2100597 (2022).

[741] Yan Zhu, Ge Bai, Yuexuan Wang, Tongyang Li, and Giulio Chiribella, "Quantum autoencoders for communication-efficient quantum cloud computing", arXiv:2112.12369, (2021).

[742] Leonardo Novo, Juani Bermejo-Vega, and Raúl García-Patrón, "Quantum advantage from energy measurements of many-body quantum systems", Quantum 5, 465 (2021).

[743] David E. Bernal, Akshay Ajagekar, Stuart M. Harwood, Spencer T. Stober, Dimitar Trenev, and Fengqi You, "Perspectives of quantum computing for chemical engineering", AIChE Journal 68 6, e17651 (2022).

[744] Wooyeong Song, Marcin Wieśniak, Nana Liu, Marcin Pawłowski, Jinhyoung Lee, Jaewan Kim, and Jeongho Bang, "Tangible reduction in learning sample complexity with large classical samples and small quantum system", Quantum Information Processing 20 8, 275 (2021).

[745] Ellis Wilson, Frank Mueller, Lindsay Bassman, and Constin Iancu, "Empirical Evaluation of Circuit Approximations on Noisy Quantum Devices", arXiv:2107.06701, (2021).

[746] Casey Duckering, Jonathan M. Baker, Andrew Litteken, and Frederic T. Chong, "Orchestrated Trios: Compiling for Efficient Communication in Quantum Programs with 3-Qubit Gates", arXiv:2102.08451, (2021).

[747] Hiroo Azuma, "A simplified Mølmer-Sørensen gate for the trapped ion quantum computer", arXiv:2112.07855, (2021).

[748] Gregory Slepyan and Amir Boag, "Super-operator Linear Equations and their Applications to Quantum Antennas and Quantum Light Scattering", arXiv:2112.09882, (2021).

[749] Suhas Kumar, Xinxin Wang, John Paul Strachan, Yuchao Yang, and Wei D. Lu, "Dynamical memristors for higher-complexity neuromorphic computing", Nature Reviews Materials 7 7, 575 (2022).

[750] Galan Moody, Volker J. Sorger, Daniel J. Blumenthal, Paul W. Juodawlkis, William Loh, Cheryl Sorace-Agaskar, Alex E. Jones, Krishna C. Balram, Jonathan C. F. Matthews, Anthony Laing, Marcelo Davanco, Lin Chang, John E. Bowers, Niels Quack, Christophe Galland, Igor Aharonovich, Martin A. Wolff, Carsten Schuck, Neil Sinclair, Marko Lončar, Tin Komljenovic, David Weld, Shayan Mookherjea, Sonia Buckley, Marina Radulaski, Stephan Reitzenstein, Benjamin Pingault, Bartholomeus Machielse, Debsuvra Mukhopadhyay, Alexey Akimov, Aleksei Zheltikov, Girish S. Agarwal, Kartik Srinivasan, Juanjuan Lu, Hong X. Tang, Wentao Jiang, Timothy P. McKenna, Amir H. Safavi-Naeini, Stephan Steinhauer, Ali W. Elshaari, Val Zwiller, Paul S. Davids, Nicholas Martinez, Michael Gehl, John Chiaverini, Karan K. Mehta, Jacquiline Romero, Navin B. Lingaraju, Andrew M. Weiner, Daniel Peace, Robert Cernansky, Mirko Lobino, Eleni Diamanti, Luis Trigo Vidarte, and Ryan M. Camacho, "2022 Roadmap on integrated quantum photonics", Journal of Physics: Photonics 4 1, 012501 (2022).

[751] Dolev Bluvstein, Harry Levine, Giulia Semeghini, Tout T. Wang, Sepehr Ebadi, Marcin Kalinowski, Alexander Keesling, Nishad Maskara, Hannes Pichler, Markus Greiner, Vladan Vuletić, and Mikhail D. Lukin, "A quantum processor based on coherent transport of entangled atom arrays", Nature 604 7906, 451 (2022).

[752] T. M. Graham, Y. Song, J. Scott, C. Poole, L. Phuttitarn, K. Jooya, P. Eichler, X. Jiang, A. Marra, B. Grinkemeyer, M. Kwon, M. Ebert, J. Cherek, M. T. Lichtman, M. Gillette, J. Gilbert, D. Bowman, T. Ballance, C. Campbell, E. D. Dahl, O. Crawford, N. S. Blunt, B. Rogers, T. Noel, and M. Saffman, "Multi-qubit entanglement and algorithms on a neutral-atom quantum computer", Nature 604 7906, 457 (2022).

[753] Naeimeh Mohseni, Peter L. McMahon, and Tim Byrnes, "Ising machines as hardware solvers of combinatorial optimization problems", Nature Reviews Physics 4 6, 363 (2022).

[754] Sebastian Krinner, Nathan Lacroix, Ants Remm, Agustin Di Paolo, Elie Genois, Catherine Leroux, Christoph Hellings, Stefania Lazar, Francois Swiadek, Johannes Herrmann, Graham J. Norris, Christian Kraglund Andersen, Markus Müller, Alexandre Blais, Christopher Eichler, and Andreas Wallraff, "Realizing repeated quantum error correction in a distance-three surface code", Nature 605 7911, 669 (2022).

[755] Xiao Xue, Maximilian Russ, Nodar Samkharadze, Brennan Undseth, Amir Sammak, Giordano Scappucci, and Lieven M. K. Vandersypen, "Quantum logic with spin qubits crossing the surface code threshold", Nature 601 7893, 343 (2022).

[756] Andrew J. Daley, Immanuel Bloch, Christian Kokail, Stuart Flannigan, Natalie Pearson, Matthias Troyer, and Peter Zoller, "Practical quantum advantage in quantum simulation", Nature 607 7920, 667 (2022).

[757] Zoë Holmes, Kunal Sharma, M. Cerezo, and Patrick J. Coles, "Connecting Ansatz Expressibility to Gradient Magnitudes and Barren Plateaus", PRX Quantum 3 1, 010313 (2022).

[758] Yunxiang Liao and Victor Galitski, "Effective Field Theory of Random Quantum Circuits", Entropy 24 6, 823 (2022).

[759] Karthik Chinni, Manuel H. Muñoz-Arias, Ivan H. Deutsch, and Pablo M. Poggi, "Trotter Errors from Dynamical Structural Instabilities of Floquet Maps in Quantum Simulation", PRX Quantum 3 1, 010351 (2022).

[760] Kyungjoo Noh, Christopher Chamberland, and Fernando G. S. L. Brandão, "Low-Overhead Fault-Tolerant Quantum Error Correction with the Surface-GKP Code", PRX Quantum 3 1, 010315 (2022).

[761] Dmitry A. Fedorov, Bo Peng, Niranjan Govind, and Yuri Alexeev, "VQE method: a short survey and recent developments", Materials Theory 6 1, 2 (2022).

[762] Christian D. Marciniak, Thomas Feldker, Ivan Pogorelov, Raphael Kaubruegger, Denis V. Vasilyev, Rick van Bijnen, Philipp Schindler, Peter Zoller, Rainer Blatt, and Thomas Monz, "Optimal metrology with programmable quantum sensors", Nature 603 7902, 604 (2022).

[763] Matthias C. Caro, Hsin-Yuan Huang, M. Cerezo, Kunal Sharma, Andrew Sornborger, Lukasz Cincio, and Patrick J. Coles, "Generalization in quantum machine learning from few training data", Nature Communications 13, 4919 (2022).

[764] J. F. Marques, B. M. Varbanov, M. S. Moreira, H. Ali, N. Muthusubramanian, C. Zachariadis, F. Battistel, M. Beekman, N. Haider, W. Vlothuizen, A. Bruno, B. M. Terhal, and L. DiCarlo, "Logical-qubit operations in an error-detecting surface code", Nature Physics 18 1, 80 (2022).

[765] Noah Goss, Alexis Morvan, Brian Marinelli, Bradley K. Mitchell, Long B. Nguyen, Ravi K. Naik, Larry Chen, Christian Jünger, John Mark Kreikebaum, David I. Santiago, Joel J. Wallman, and Irfan Siddiqi, "High-fidelity qutrit entangling gates for superconducting circuits", Nature Communications 13, 7481 (2022).

[766] Alexia Auffèves, "Quantum Technologies Need a Quantum Energy Initiative", PRX Quantum 3 2, 020101 (2022).

[767] Brennan de Neeve, Thanh-Long Nguyen, Tanja Behrle, and Jonathan P. Home, "Error correction of a logical grid state qubit by dissipative pumping", Nature Physics 18 3, 296 (2022).

[768] Johannes Herrmann, Sergi Masot Llima, Ants Remm, Petr Zapletal, Nathan A. McMahon, Colin Scarato, François Swiadek, Christian Kraglund Andersen, Christoph Hellings, Sebastian Krinner, Nathan Lacroix, Stefania Lazar, Michael Kerschbaum, Dante Colao Zanuz, Graham J. Norris, Michael J. Hartmann, Andreas Wallraff, and Christopher Eichler, "Realizing quantum convolutional neural networks on a superconducting quantum processor to recognize quantum phases", Nature Communications 13, 4144 (2022).

[769] Keisuke Matsumoto, Yuta Shingu, Suguru Endo, Shiro Kawabata, Shohei Watabe, Tetsuro Nikuni, Hideaki Hakoshima, and Yuichiro Matsuzaki, "Calculation of Gibbs partition function with imaginary time evolution on near-term quantum computers", Japanese Journal of Applied Physics 61 4, 042002 (2022).

[770] Timothy Proctor, Kenneth Rudinger, Kevin Young, Erik Nielsen, and Robin Blume-Kohout, "Measuring the capabilities of quantum computers", Nature Physics 18 1, 75 (2022).

[771] Charles Hadfield, Sergey Bravyi, Rudy Raymond, and Antonio Mezzacapo, "Measurements of Quantum Hamiltonians with Locally-Biased Classical Shadows", Communications in Mathematical Physics 391 3, 951 (2022).

[772] Mahabubul Alam and Swaroop Ghosh, "QNet: A Scalable and Noise-resilient Quantum Neural Network Architecture for Noisy Intermediate-Scale Quantum Computers", Frontiers in Physics 9, 702 (2022).

[773] Enrico Rinaldi, Xizhi Han, Mohammad Hassan, Yuan Feng, Franco Nori, Michael McGuigan, and Masanori Hanada, "Matrix-Model Simulations Using Quantum Computing, Deep Learning, and Lattice Monte Carlo", PRX Quantum 3 1, 010324 (2022).

[774] Philip Thomas, Leonardo Ruscio, Olivier Morin, and Gerhard Rempe, "Efficient generation of entangled multiphoton graph states from a single atom", Nature 608 7924, 677 (2022).

[775] Tianyi Hao, Xuxin Huang, Chunjing Jia, and Cheng Peng, "A Quantum-Inspired Tensor Network Algorithm for Constrained Combinatorial Optimization Problems", Frontiers in Physics 10, 906590 (2022).

[776] Dayue Qin, Xiaosi Xu, and Ying Li, "An overview of quantum error mitigation formulas", Chinese Physics B 31 9, 090306 (2022).

[777] Eric R. Anschuetz and Bobak T. Kiani, "Quantum variational algorithms are swamped with traps", Nature Communications 13, 7760 (2022).

[778] Keisuke Fujii, Kaoru Mizuta, Hiroshi Ueda, Kosuke Mitarai, Wataru Mizukami, and Yuya O. Nakagawa, "Deep Variational Quantum Eigensolver: A Divide-And-Conquer Method for Solving a Larger Problem with Smaller Size Quantum Computers", PRX Quantum 3 1, 010346 (2022).

[779] Eric Hyyppä, Suman Kundu, Chun Fai Chan, András Gunyhó, Juho Hotari, David Janzso, Kristinn Juliusson, Olavi Kiuru, Janne Kotilahti, Alessandro Landra, Wei Liu, Fabian Marxer, Akseli Mäkinen, Jean-Luc Orgiazzi, Mario Palma, Mykhailo Savytskyi, Francesca Tosto, Jani Tuorila, Vasilii Vadimov, Tianyi Li, Caspar Ockeloen-Korppi, Johannes Heinsoo, Kuan Yen Tan, Juha Hassel, and Mikko Möttönen, "Unimon qubit", Nature Communications 13, 6895 (2022).

[780] Hongbin Liu, Guang Hao Low, Damian S. Steiger, Thomas Häner, Markus Reiher, and Matthias Troyer, "Prospects of quantum computing for molecular sciences", Materials Theory 6 1, 11 (2022).

[781] Michał Oszmaniec, Ninnat Dangniam, Mauro E. S. Morales, and Zoltán Zimborás, "Fermion Sampling: A Robust Quantum Computational Advantage Scheme Using Fermionic Linear Optics and Magic Input States", PRX Quantum 3 2, 020328 (2022).

[782] Lindsay Bassman, Roel Van Beeumen, Ed Younis, Ethan Smith, Costin Iancu, and Wibe A. de Jong, "Constant-depth circuits for dynamic simulations of materials on quantum computers", Materials Theory 6 1, 13 (2022).

[783] Minhyuk Kim, Kangheun Kim, Jaeyong Hwang, Eun-Gook Moon, and Jaewook Ahn, "Rydberg quantum wires for maximum independent set problems", Nature Physics 18 7, 755 (2022).

[784] Chaebin Kim, Heung-Sik Kim, and Je-Geun Park, "Spin-orbital entangled state and realization of Kitaev physics in 3d cobalt compounds: a progress report", Journal of Physics Condensed Matter 34 2, 023001 (2022).

[785] M. Virginia P. Altoé, Archan Banerjee, Cassidy Berk, Ahmed Hajr, Adam Schwartzberg, Chengyu Song, Mohammed Alghadeer, Shaul Aloni, Michael J. Elowson, John Mark Kreikebaum, Ed K. Wong, Sinéad M. Griffin, Saleem Rao, Alexander Weber-Bargioni, Andrew M. Minor, David I. Santiago, Stefano Cabrini, Irfan Siddiqi, and D. Frank Ogletree, "Localization and Mitigation of Loss in Niobium Superconducting Circuits", PRX Quantum 3 2, 020312 (2022).

[786] Xu Zhang, Wenjie Jiang, Jinfeng Deng, Ke Wang, Jiachen Chen, Pengfei Zhang, Wenhui Ren, Hang Dong, Shibo Xu, Yu Gao, Feitong Jin, Xuhao Zhu, Qiujiang Guo, Hekang Li, Chao Song, Alexey V. Gorshkov, Thomas Iadecola, Fangli Liu, Zhe-Xuan Gong, Zhen Wang, Dong-Ling Deng, and H. Wang, "Digital quantum simulation of Floquet symmetry-protected topological phases", Nature 607 7919, 468 (2022).

[787] Bin Yan and Wojciech H. Zurek, "Decoherence factor as a convolution: an interplay between a Gaussian and an exponential coherence loss", New Journal of Physics 24 11, 113029 (2022).

[788] Arpan Bhattacharyya, Lata Kh. Joshi, and Bhuvanesh Sundar, "Quantum information scrambling: from holography to quantum simulators", European Physical Journal C 82 5, 458 (2022).

[789] Phillip C. Lotshaw, Thien Nguyen, Anthony Santana, Alexander McCaskey, Rebekah Herrman, James Ostrowski, George Siopsis, and Travis S. Humble, "Scaling quantum approximate optimization on near-term hardware", Scientific Reports 12, 12388 (2022).

[790] Maxwell Aifer and Sebastian Deffner, "From quantum speed limits to energy-efficient quantum gates", New Journal of Physics 24 5, 055002 (2022).

[791] Huo Chen and Daniel A. Lidar, "Hamiltonian open quantum system toolkit", Communications Physics 5 1, 112 (2022).

[792] Mirko Consiglio, Wayne J. Chetcuti, Carlos Bravo-Prieto, Sergi Ramos-Calderer, Anna Minguzzi, José I. Latorre, Luigi Amico, and Tony J. G. Apollaro, "Variational quantum eigensolver for SU(N) fermions", Journal of Physics A Mathematical General 55 26, 265301 (2022).

[793] A. Barış Özgüler and Davide Venturelli, "Numerical gate synthesis for quantum heuristics on bosonic quantum processors", Frontiers in Physics 10, 900612 (2022).

[794] Alexandre M. Souza, Eldues O. Martins, Itzhak Roditi, Nahum Sá, Roberto S. Sarthour, and Ivan S. Oliveira, "An Application of Quantum Annealing Computing to Seismic Inversion", Frontiers in Physics 9, 784 (2022).

[795] Irénée Frérot, Flavio Baccari, and Antonio Acín, "Unveiling Quantum Entanglement in Many-Body Systems from Partial Information", PRX Quantum 3 1, 010342 (2022).

[796] Shohei Watabe, Michael Zach Serikow, Shiro Kawabata, and Alexandre Zagoskin, "Efficient criteria of quantumness for a large system of qubits", Frontiers in Physics 9, 744 (2022).

[797] Piotr Migdał, Klementyna Jankiewicz, Paweł Grabarz, Chiara Decaroli, and Philippe Cochin, "Visualizing quantum mechanics in an interactive simulation - Virtual Lab by Quantum Flytrap", Optical Engineering 61, 081808 (2022).

[798] Yudai Suzuki, Qi Gao, Ken C. Pradel, Kenji Yasuoka, and Naoki Yamamoto, "Natural quantum reservoir computing for temporal information processing", Scientific Reports 12, 1353 (2022).

[799] Alan Morningstar, Markus Hauru, Jackson Beall, Martin Ganahl, Adam G. M. Lewis, Vedika Khemani, and Guifre Vidal, "Simulation of Quantum Many-Body Dynamics with Tensor Processing Units: Floquet Prethermalization", PRX Quantum 3 2, 020331 (2022).

[800] Tony J. G. Apollaro, Salvatore Lorenzo, Francesco Plastina, Mirko Consiglio, and Karol Życzkowski, "Quantum transfer of interacting qubits", New Journal of Physics 24 8, 083025 (2022).

[801] Maninder Kaur and Araceli Venegas-Gomez, "Defining the quantum workforce landscape: a review of global quantum education initiatives", Optical Engineering 61, 081806 (2022).

[802] Elija Perrier, Akram Youssry, and Chris Ferrie, "QDataSet, quantum datasets for machine learning", Scientific Data 9 1, 582 (2022).

[803] Denis Bokhan, Alena S. Mastiukova, Aleksey S. Boev, Dmitrii N. Trubnikov, and Aleksey K. Fedorov, "Multiclass classification using quantum convolutional neural networks with hybrid quantum-classical learning", Frontiers in Physics 10, 1069985 (2022).

[804] Fong Yew Leong, Wei-Bin Ewe, and Dax Enshan Koh, "Variational quantum evolution equation solver", Scientific Reports 12, 10817 (2022).

[805] Hashir Kuniyil, Helin Ozel, Hasan Yilmaz, and Kadir Durak, "Noise-tolerant object detection and ranging using quantum correlations", Journal of Optics 24 10, 105201 (2022).

[806] Qing-Song Li, Huan-Yu Liu, Qingchun Wang, Yu-Chun Wu, and Guo-Ping Guo, "A unified framework of transformations based on the Jordan-Wigner transformation", Journal of Chemical Physics 157 13, 134104 (2022).

[807] John S. Van Dyke, Edwin Barnes, Sophia E. Economou, and Rafael I. Nepomechie, "Preparing exact eigenstates of the open XXZ chain on a quantum computer", Journal of Physics A Mathematical General 55 5, 055301 (2022).

[808] Tomoaki Kimura, Kodai Shiba, Chih-Chieh Chen, Masaru Sogabe, Katsuyoshi Sakamoto, and Tomah Sogabe, "Quantum circuit architectures via quantum observable Markov decision process planning", Journal of Physics Communications 6 7, 075006 (2022).

[809] Philipp Schleich, Jakob S. Kottmann, and Alán Aspuru-Guzik, "Improving the accuracy of the variational quantum eigensolver for molecular systems by the explicitly-correlated perturbative [2]R12-correction", Physical Chemistry Chemical Physics (Incorporating Faraday Transactions) 24 22, 13550 (2022).

[810] Takaya Nakazato, Raustin Reyes, Nobuaki Imaike, Kazuyasu Matsuda, Kazuya Tsurumoto, Yuhei Sekiguchi, and Hideo Kosaka, "Quantum error correction of spin quantum memories in diamond under a zero magnetic field", Communications Physics 5 1, 102 (2022).

[811] Freek Witteveen, Volkher Scholz, Brian Swingle, and Michael Walter, "Quantum Circuit Approximations and Entanglement Renormalization for the Dirac Field in 1+1 Dimensions", Communications in Mathematical Physics 389 1, 75 (2022).

[812] Sabine Tornow, Wolfgang Gehrke, and Udo Helmbrecht, "Non-equilibrium dynamics of a dissipative two-site Hubbard model simulated on IBM quantum computers", Journal of Physics A Mathematical General 55 24, 245302 (2022).

[813] Joonho Kim and Yaron Oz, "Entanglement diagnostics for efficient VQA optimization", Journal of Statistical Mechanics: Theory and Experiment 2022 7, 073101 (2022).

[814] Rui Huang, Xiaoqing Tan, and Qingshan Xu, "Quantum Federated Learning With Decentralized Data", IEEE Journal of Selected Topics in Quantum Electronics 28 4, 3170150 (2022).

[815] Junchao Wang, Guoping Guo, and Zheng Shan, "SoK: Benchmarking the Performance of a Quantum Computer", Entropy 24 10, 1467 (2022).

[816] Kun Fang and Zi-Wen Liu, "No-Go Theorems for Quantum Resource Purification: New Approach and Channel Theory", PRX Quantum 3 1, 010337 (2022).

[817] Morten Kjaergaard, "An improved recipe for error detection", Nature Physics 18 1, 7 (2022).

[818] Zhimin He, Junjian Su, Chuangtao Chen, Minghua Pan, and Haozhen Situ, "Search space pruning for quantum architecture search", European Physical Journal Plus 137 4, 491 (2022).

[819] R. S. Amal and S. Kannan, "Manifestation of quantum images using unitary matrix encoding", European Physical Journal Plus 137 4, 449 (2022).

[820] Michael A. Jones, Harish J. Vallury, Charles D. Hill, and Lloyd C. L. Hollenberg, "Chemistry beyond the Hartree-Fock energy via quantum computed moments", Scientific Reports 12, 8985 (2022).

[821] Jerimiah Wright, Meenambika Gowrishankar, Daniel Claudino, Phillip C. Lotshaw, Thien Nguyen, Alexander J. McCaskey, and Travis S. Humble, "Numerical simulations of noisy quantum circuits for computational chemistry", Materials Theory 6 1, 18 (2022).

[822] Dong-Sheng Wang, Yun-Jiang Wang, Ningping Cao, Bei Zeng, and Raymond Laflamme, "Theory of quasi-exact fault-tolerant quantum computing and valence-bond-solid codes", New Journal of Physics 24 2, 023019 (2022).

[823] Javier Mancilla and Christophe Pere, "A Preprocessing Perspective for Quantum Machine Learning Classification Advantage in Finance Using NISQ Algorithms", Entropy 24 11, 1656 (2022).

[824] Sishi Wu, Dengke Zhang, Rui Wang, Yulong Liu, Shuai-Peng Wang, Qichun Liu, J. S. Tsai, and Tiefu Li, "Vacuum-gap-based lumped element Josephson parametric amplifier", Chinese Physics B 31 1, 010306 (2022).

[825] Jie Zhu, Yuya O. Nakagawa, Yong-Sheng Zhang, Chuan-Feng Li, and Guang-Can Guo, "Calculating the Green's function of two-site fermionic Hubbard model in a photonic system", New Journal of Physics 24 4, 043030 (2022).

[826] Hocheol Lim, Hyeon-Nae Jeon, June-Koo Rhee, Byungdu Oh, and Kyoung Tai No, "Quantum computational study of chloride attack on chloromethane for chemical accuracy and quantum noise effects with UCCSD and k-UpCCGSD ansatzes", Scientific Reports 12, 7495 (2022).

[827] Wei Xia, Jie Zou, Xingze Qiu, and Xiaopeng Li, "The reservoir learning power across quantum many-body localization transition", Frontiers of Physics 17 3, 33506 (2022).

[828] Samudra Dasgupta and Travis S. Humble, "Characterizing the Reproducibility of Noisy Quantum Circuits", Entropy 24 2, 244 (2022).

[829] Thomas J. Maldonado, Johannes Flick, Stefan Krastanov, and Alexey Galda, "Error rate reduction of single-qubit gates via noise-aware decomposition into native gates", Scientific Reports 12, 6379 (2022).

[830] Andreas Burger, Leong Chuan Kwek, and Dario Poletti, "Digital Quantum Simulation of the Spin-Boson Model under Markovian Open-System Dynamics", Entropy 24 12, 1766 (2022).

[831] Mercy G. Amankwah, Daan Camps, E. Wes Bethel, Roel Van Beeumen, and Talita Perciano, "Quantum pixel representations and compression for N-dimensional images", Scientific Reports 12, 7712 (2022).

[832] Rakesh Kumar Saini, Raman Sehgal, and Sudhir R. Jain, "Protection of qubits by nonlinear resonances", European Physical Journal Plus 137 3, 356 (2022).

[833] Yi Zeng, Hao Wang, Jin He, Qijun Huang, and Sheng Chang, "A Multi-Classification Hybrid Quantum Neural Network Using an All-Qubit Multi-Observable Measurement Strategy", Entropy 24 3, 394 (2022).

[834] Yifeng Xiong, Soon Xin Ng, Gui-Lu Long, and Lajos Hanzo, "Dual-Frequency Quantum Phase Estimation Mitigates the Spectral Leakage of Quantum Algorithms", IEEE Signal Processing Letters 29, 1222 (2022).

[835] Kyung Seok Woo, Jaehyun Kim, Janguk Han, Woohyun Kim, Yoon Ho Jang, and Cheol Seong Hwang, "Probabilistic computing using Cu<SUB>0.1</SUB>Te<SUB>0.9</SUB>/HfO<SUB>2</SUB>/Pt diffusive memristors", Nature Communications 13, 5762 (2022).

[836] Thibault Fredon, Julien Zylberman, Pablo Arnault, and Fabrice Debbasch, "Quantum Spatial Search with Electric Potential: Long-Time Dynamics and Robustness to Noise", Entropy 24 12, 1778 (2022).

[837] Heather M. Gray and Koji Terashi, "Quantum Computing Applications in Future Colliders", Frontiers in Physics 10, 864823 (2022).

[838] Chih-Chieh Chen, Masaru Sogabe, Kodai Shiba, Katsuyoshi Sakamoto, and Tomah Sogabe, "General Vapnik-Chervonenkis dimension bounds for quantum circuit learning", Journal of Physics: Complexity 3 4, 045007 (2022).

[839] Shuquan Ma, Changhua Zhu, Dongxiao Quan, and Min Nie, "A Distributed Architecture for Secure Delegated Quantum Computation", Entropy 24 6, 794 (2022).

[840] S. Moradi, C. Brandner, C. Spielvogel, D. Krajnc, S. Hillmich, R. Wille, W. Drexler, and L. Papp, "Clinical data classification with noisy intermediate scale quantum computers", Scientific Reports 12, 1851 (2022).

[841] Jihye Kim, Byungdu Oh, Yonuk Chong, Euyheon Hwang, and Daniel K. Park, "Quantum readout error mitigation via deep learning", New Journal of Physics 24 7, 073009 (2022).

[842] Alexander Hahn, Daniel Burgarth, and Kazuya Yuasa, "Unification of random dynamical decoupling and the quantum Zeno effect", New Journal of Physics 24 6, 063027 (2022).

[843] N. Schetakis, D. Aghamalyan, P. Griffin, and M. Boguslavsky, "Review of some existing QML frameworks and novel hybrid classical-quantum neural networks realising binary classification for the noisy datasets", Scientific Reports 12, 11927 (2022).

[844] Giovanni De Micheli, Jie-Hong R. Jiang, Robert Rand, Kaitlin Smith, and Mathias Soeken, "Advances in Quantum Computation and Quantum Technologies: A Design Automation Perspective", IEEE Journal on Emerging and Selected Topics in Circuits and Systems 12 3, 584 (2022).

[845] Yongcheng Ding, Yue Ban, and Xi Chen, "Towards Quantum Control with Advanced Quantum Computing: A Perspective", Entropy 24 12, 1743 (2022).

[846] Charles Ross, Gabriele Gradoni, Qi Jian Lim, and Zhen Peng, "Engineering Reflective Metasurfaces With Ising Hamiltonian and Quantum Annealing", IEEE Transactions on Antennas and Propagation 70 4, 2841 (2022).

[847] Keren Li and Pan Gao, "A NISQ Method to Simulate Hermitian Matrix Evolution", Entropy 24 7, 899 (2022).

[848] Shweta Sahoo, Utkarsh Azad, and Harjinder Singh, "Quantum phase recognition using quantum tensor networks", European Physical Journal Plus 137 12, 1373 (2022).

[849] Hong-Bin Chen, "Effects of symmetry breaking of the structurally-disordered Hamiltonian ensembles on the anisotropic decoherence of qubits", Scientific Reports 12, 2869 (2022).

[850] Jia-Ming Cheng, Yong-Chang Zhang, Xiang-Fa Zhou, and Zheng-Wei Zhou, "Enhancing quantum coherence of a fluxonium qubit by employing flux modulation with tunable-complex-amplitude", New Journal of Physics 24 12, 123034 (2022).

[851] Asahi Chikaoka and Haozhao Liang, "Quantum computing for the Lipkin model with unitary coupled cluster and structure learning ansatz", Chinese Physics C 46 2, 024106 (2022).

[852] Shiqing Tang, Chong Yang, Dongxiao Li, and Xiaoqiang Shao, "Implementation of Quantum Algorithms via Fast Three-Rydberg-Atom CCZ Gates", Entropy 24 10, 1371 (2022).

[853] Haozhen Situ and Zhimin He, "Using simulated annealing to learn the SDC quantum protocol", European Physical Journal Plus 137 1, 98 (2022).

[854] Sonia Lopez Alarcon and Anne C. Elster, "Quantum Computing and High-Performance Computing: Compilation Stack Similarities", Computing in Science and Engineering 24 6, 66 (2022).

[855] Yuki Ishiyama, Ryutaro Nagai, Shunsuke Mieda, Yuki Takei, Yuichiro Minato, and Yutaka Natsume, "Noise-robust optimization of quantum machine learning models for polymer properties using a simulator and validated on the IonQ quantum computer", Scientific Reports 12, 19003 (2022).

[856] Ruilin Liu, Sebastián V. Romero, Izaskun Oregi, Eneko Osaba, Esther Villar-Rodriguez, and Yue Ban, "Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States", Entropy 24 11, 1529 (2022).

[857] Thomas Lubinski, Cassandra Granade, Amos Anderson, Alan Geller, Martin Roetteler, Andrei Petrenko, and Bettina Heim, "Advancing hybrid quantum-classical computation with real-time execution", Frontiers in Physics 10, 940293 (2022).

[858] Kaitlin N. Smith, Gokul Subramanian Ravi, Thomas Alexander, Nicholas T. Bronn, André R. R. Carvalho, Alba Cervera-Lierta, Frederic T. Chong, Jerry M. Chow, Michael Cubeddu, Akel Hashim, Liang Jiang, Olivia Lanes, Matthew J. Otten, David I. Schuster, Pranav Gokhale, Nathan Earnest, and Alexey Galda, "Programming physical quantum systems with pulse-level control", Frontiers in Physics 10, 900099 (2022).

[859] Junxiang Xiao, Jingwei Wen, Shijie Wei, and Guilu Long, "Reconstructing unknown quantum states using variational layerwise method", Frontiers of Physics 17 5, 51501 (2022).

[860] Bill Poirier and Jonathan Jerke, "Full-dimensional Schrödinger wavefunction calculations using tensors and quantum computers: the Cartesian component-separated approach", Physical Chemistry Chemical Physics (Incorporating Faraday Transactions) 24 7, 4437 (2022).

[861] Ryuhei Yoshida, Erik Lötstedt, and Kaoru Yamanouchi, "Quantum computing of Hückel molecular orbitals of π-electron systems", Journal of Chemical Physics 156 18, 184117 (2022).

[862] Gabriele Cavallaro, Dora B. Heras, Zebin Wu, Manil Maskey, Sebastian Lopez, Piotr Gawron, Mihai Coca, and Mihai Datcu, "High-Performance and Disruptive Computing in Remote Sensing: HDCRS—A new Working Group of the GRSS Earth Science Informatics Technical Committee [Technical Committees]", IEEE Geoscience and Remote Sensing Magazine 10 2, 329 (2022).

[863] Xin Zhou, Jianmin Pang, Feng Yue, Fudong Liu, Jiayu Guo, Wenfu Liu, Zhihui Song, Guoqiang Shu, Bing Xia, and Zheng Shan, "A new method of software vulnerability detection based on a quantum neural network", Scientific Reports 12, 8053 (2022).

[864] Vinayak Dixit and Sisi Jian, "Quantum Fourier transform to estimate drive cycles", Scientific Reports 12, 654 (2022).

[865] You-hang Liu, Zai-dong Qi, and Qiang Liu, "Comparison of the similarity between two quantum images", Scientific Reports 12, 7776 (2022).

[866] Igor Gaidai, Dmitri Babikov, Alexander Teplukhin, Brian K. Kendrick, Susan M. Mniszewski, Yu Zhang, Sergei Tretiak, and Pavel A. Dub, "Molecular dynamics on quantum annealers", Scientific Reports 12, 16824 (2022).

[867] Bao Yan, Shijie Wei, Haocong Jiang, Hong Wang, Qianheng Duan, Zhi Ma, and Gui-Lu Long, "Fixed-point oblivious quantum amplitude-amplification algorithm", Scientific Reports 12, 14339 (2022).

[868] Zhaolong Huang, Qiting Li, Junling Zhao, and Meimei Song, "Variational Quantum Algorithm Applied to Collision Avoidance of Unmanned Aerial Vehicles", Entropy 24 11, 1685 (2022).

[869] Kai Sun, Ze-Yan Hao, Yan Wang, Jia-Kun Li, Xiao-Ye Xu, Jin-Shi Xu, Yong-Jian Han, Chuan-Feng Li, and Guang-Can Guo, "Optical demonstration of quantum fault-tolerant threshold", Light: Science & Applications 11 1, 203 (2022).

[870] Laszlo Gyongyosi, "Adaptive Problem Solving Dynamics in Gate-Model Quantum Computers", Entropy 24 9, 1196 (2022).

[871] Benjamin Gys, Rohith Acharya, Steven Van Winckel, Kristiaan De Greve, Georges Gielen, and Francky Catthoor, "A Co-Simulation Methodology for the Design of Integrated Silicon Spin Qubits With Their Control/Readout Cryo-CMOS Electronics", IEEE Journal on Emerging and Selected Topics in Circuits and Systems 12 3, 685 (2022).

[872] Pei-Hua Wang, Jen-Hao Chen, and Yufeng Jane Tseng, "Intelligent pharmaceutical patent search on a near-term gate-based quantum computer", Scientific Reports 12, 175 (2022).

[873] Wen-Hao Zhou, Madhav Krishnan Vijayan, Xiao-Wei Wang, Yong-Heng Lu, Jun Gao, Zhi-Qiang Jiao, Ruo-Jing Ren, Yi-Jun Chang, Zi-Song Shen, Peter P. Rohde, and Xian-Min Jin, "Reducing circuit complexity in optical quantum computation using 3D architectures", Optics Express 30 18, 32887 (2022).

[874] Kaoru Mizuta, Yuya O. Nakagawa, Kosuke Mitarai, and Keisuke Fujii, "Local Variational Quantum Compilation of Large-Scale Hamiltonian Dynamics", PRX Quantum 3 4, 040302 (2022).

[875] Yu-Jie Liu, Kirill Shtengel, Adam Smith, and Frank Pollmann, "Methods for Simulating String-Net States and Anyons on a Digital Quantum Computer", PRX Quantum 3 4, 040315 (2022).

[876] Kazuhiro Seki and Seiji Yunoki, "Spatial, spin, and charge symmetry projections for a Fermi-Hubbard model on a quantum computer", Physical Review A 105 3, 032419 (2022).

[877] Kazuhiro Seki, Yuichi Otsuka, and Seiji Yunoki, "Gutzwiller wave function on a quantum computer using a discrete Hubbard-Stratonovich transformation", Physical Review B 105 15, 155119 (2022).

[878] Bálint Koczor and Simon C. Benjamin, "Quantum natural gradient generalized to noisy and nonunitary circuits", Physical Review A 106 6, 062416 (2022).

[879] Piotr Sierant, Marco Schirò, Maciej Lewenstein, and Xhek Turkeshi, "Measurement-induced phase transitions in (d +1 ) -dimensional stabilizer circuits", Physical Review B 106 21, 214316 (2022).

[880] Yulong Dong, Lin Lin, and Yu Tong, "Ground-State Preparation and Energy Estimation on Early Fault-Tolerant Quantum Computers via Quantum Eigenvalue Transformation of Unitary Matrices", PRX Quantum 3 4, 040305 (2022).

[881] Guillermo González-García, Rahul Trivedi, and J. Ignacio Cirac, "Error Propagation in NISQ Devices for Solving Classical Optimization Problems", PRX Quantum 3 4, 040326 (2022).

[882] Qing Xie, Kazuhiro Seki, and Seiji Yunoki, "Variational counterdiabatic driving of the Hubbard model for ground-state preparation", Physical Review B 106 15, 155153 (2022).

[883] Vincent R. Pascuzzi, Andre He, Christian W. Bauer, Wibe A. de Jong, and Benjamin Nachman, "Computationally efficient zero-noise extrapolation for quantum-gate-error mitigation", Physical Review A 105 4, 042406 (2022).

[884] Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Paolo Stornati, and Xiaoyang Wang, "Measurement error mitigation in quantum computers through classical bit-flip correction", Physical Review A 105 6, 062404 (2022).

[885] Stefan H. Sack, Raimel A. Medina, Alexios A. Michailidis, Richard Kueng, and Maksym Serbyn, "Avoiding Barren Plateaus Using Classical Shadows", PRX Quantum 3 2, 020365 (2022).

[886] Valentin Heyraud, Zejian Li, Zakari Denis, Alexandre Le Boité, and Cristiano Ciuti, "Noisy quantum kernel machines", Physical Review A 106 5, 052421 (2022).

[887] Paula García-Molina, Javier Rodríguez-Mediavilla, and Juan José García-Ripoll, "Quantum Fourier analysis for multivariate functions and applications to a class of Schrödinger-type partial differential equations", Physical Review A 105 1, 012433 (2022).

[888] Xhek Turkeshi, "Measurement-induced criticality as a data-structure transition", Physical Review B 106 14, 144313 (2022).

[889] Riccardo J. Valencia-Tortora, Nicola Pancotti, and Jamir Marino, "Kinetically Constrained Quantum Dynamics in Superconducting Circuits", PRX Quantum 3 2, 020346 (2022).

[890] Michael Krebsbach, Björn Trauzettel, and Alessio Calzona, "Optimization of Richardson extrapolation for quantum error mitigation", Physical Review A 106 6, 062436 (2022).

[891] Abhinav Deshpande, Pradeep Niroula, Oles Shtanko, Alexey V. Gorshkov, Bill Fefferman, and Michael J. Gullans, "Tight Bounds on the Convergence of Noisy Random Circuits to the Uniform Distribution", PRX Quantum 3 4, 040329 (2022).

[892] J. Rivera-Dean, Th. Lamprou, E. Pisanty, P. Stammer, A. F. Ordóñez, A. S. Maxwell, M. F. Ciappina, M. Lewenstein, and P. Tzallas, "Strong laser fields and their power to generate controllable high-photon-number coherent-state superpositions", Physical Review A 105 3, 033714 (2022).

[893] Bobak Toussi Kiani, Giacomo De Palma, Dirk Englund, William Kaminsky, Milad Marvian, and Seth Lloyd, "Quantum advantage for differential equation analysis", Physical Review A 105 2, 022415 (2022).

[894] Maxime Dupont and Joel E. Moore, "Quantum criticality using a superconducting quantum processor", Physical Review B 106 4, L041109 (2022).

[895] Mingxia Huo and Ying Li, "Dual-state purification for practical quantum error mitigation", Physical Review A 105 2, 022427 (2022).

[896] Max McGinley, Sebastian Leontica, Samuel J. Garratt, Jovan Jovanovic, and Steven H. Simon, "Quantifying information scrambling via classical shadow tomography on programmable quantum simulators", Physical Review A 106 1, 012441 (2022).

[897] Benjamin F. Schiffer, Jordi Tura, and J. Ignacio Cirac, "Adiabatic Spectroscopy and a Variational Quantum Adiabatic Algorithm", PRX Quantum 3 2, 020347 (2022).

[898] Hakop Pashayan, Oliver Reardon-Smith, Kamil Korzekwa, and Stephen D. Bartlett, "Fast Estimation of Outcome Probabilities for Quantum Circuits", PRX Quantum 3 2, 020361 (2022).

[899] Cristian L. Cortes and Stephen K. Gray, "Quantum Krylov subspace algorithms for ground- and excited-state energy estimation", Physical Review A 105 2, 022417 (2022).

[900] Andrea Maiani, Morten Kjaergaard, and Constantin Schrade, "Entangling Transmons with Low-Frequency Protected Superconducting Qubits", PRX Quantum 3 3, 030329 (2022).

[901] Adam Callison and Nicholas Chancellor, "Hybrid quantum-classical algorithms in the noisy intermediate-scale quantum era and beyond", Physical Review A 106 1, 010101 (2022).

[902] Long B. Nguyen, Gerwin Koolstra, Yosep Kim, Alexis Morvan, Trevor Chistolini, Shraddha Singh, Konstantin N. Nesterov, Christian Jünger, Larry Chen, Zahra Pedramrazi, Bradley K. Mitchell, John Mark Kreikebaum, Shruti Puri, David I. Santiago, and Irfan Siddiqi, "Blueprint for a High-Performance Fluxonium Quantum Processor", PRX Quantum 3 3, 037001 (2022).

[903] Pejman Jouzdani, Calvin W. Johnson, Eduardo R. Mucciolo, and Ionel Stetcu, "Alternative approach to quantum imaginary time evolution", Physical Review A 106 6, 062435 (2022).

[904] Bo Peng, Sahil Gulania, Yuri Alexeev, and Niranjan Govind, "Quantum time dynamics employing the Yang-Baxter equation for circuit compression", Physical Review A 106 1, 012412 (2022).

[905] Matthew Choi, Daniel Flam-Shepherd, Thi Ha Kyaw, and Alán Aspuru-Guzik, "Learning quantum dynamics with latent neural ordinary differential equations\xC2", Physical Review A 105 4, 042403 (2022).

[906] Efekan Kökcü, Daan Camps, Lindsay Bassman, J. K. Freericks, Wibe A. de Jong, Roel Van Beeumen, and Alexander F. Kemper, "Algebraic compression of quantum circuits for Hamiltonian evolution", Physical Review A 105 3, 032420 (2022).

[907] Dimitrios Giannakis, Abbas Ourmazd, Philipp Pfeffer, Jörg Schumacher, and Joanna Slawinska, "Embedding classical dynamics in a quantum computer", Physical Review A 105 5, 052404 (2022).

[908] Kevin Schultz, Ryan LaRose, Andrea Mari, Gregory Quiroz, Nathan Shammah, B. David Clader, and William J. Zeng, "Impact of time-correlated noise on zero-noise extrapolation", Physical Review A 106 5, 052406 (2022).

[909] Lukas Gerster, Fernando Martínez-García, Pavel Hrmo, Martin W. van Mourik, Benjamin Wilhelm, Davide Vodola, Markus Müller, Rainer Blatt, Philipp Schindler, and Thomas Monz, "Experimental Bayesian Calibration of Trapped-Ion Entangling Operations", PRX Quantum 3 2, 020350 (2022).

[910] Scott E. Smart, Jan-Niklas Boyn, and David A. Mazziotti, "Resolving correlated states of benzyne with an error-mitigated contracted quantum eigensolver", Physical Review A 105 2, 022405 (2022).

[911] Marc Illa and Martin J. Savage, "Basic elements for simulations of standard-model physics with quantum annealers: Multigrid and clock states", Physical Review A 106 5, 052605 (2022).

[912] Kübra Yeter-Aydeniz, Eleftherios Moschandreou, and George Siopsis, "Quantum imaginary-time evolution algorithm for quantum field theories with continuous variables", Physical Review A 105 1, 012412 (2022).

[913] Rawad Mezher, James Mills, and Elham Kashefi, "Mitigating errors by quantum verification and postselection", Physical Review A 105 5, 052608 (2022).

[914] Rebecca Hicks, Bryce Kobrin, Christian W. Bauer, and Benjamin Nachman, "Active readout-error mitigation", Physical Review A 105 1, 012419 (2022).

[915] Thomas E. O'Brien, Lev B. Ioffe, Yuan Su, David Fushman, Hartmut Neven, Ryan Babbush, and Vadim Smelyanskiy, "Quantum Computation of Molecular Structure Using Data from Challenging-To-Classically-Simulate Nuclear Magnetic Resonance Experiments", PRX Quantum 3 3, 030345 (2022).

[916] Yuhan Huang, Qingyu Li, Xiaokai Hou, Rebing Wu, Man-Hong Yung, Abolfazl Bayat, and Xiaoting Wang, "Robust resource-efficient quantum variational ansatz through an evolutionary algorithm", Physical Review A 105 5, 052414 (2022).

[917] K. S. C. Decker, D. M. Kennes, and C. Karrasch, "Many-body localization and the area law in two dimensions", Physical Review B 106 18, L180201 (2022).

[918] Antonio A. Mele, Glen B. Mbeng, Giuseppe E. Santoro, Mario Collura, and Pietro Torta, "Avoiding barren plateaus via transferability of smooth solutions in a Hamiltonian variational ansatz", Physical Review A 106 6, L060401 (2022).

[919] Muhammad Ahsan, Syed Abbas Zilqurnain Naqvi, and Haider Anwer, "Quantum circuit engineering for correcting coherent noise", Physical Review A 105 2, 022428 (2022).

[920] Kaifeng Bu, Dax Enshan Koh, Lu Li, Qingxian Luo, and Yaobo Zhang, "Statistical complexity of quantum circuits", Physical Review A 105 6, 062431 (2022).

[921] Eoin Carolan, Anthony Kiely, and Steve Campbell, "Counterdiabatic control in the impulse regime", Physical Review A 105 1, 012605 (2022).

[922] Y. Y. Liu, Z. Chen, C. Shu, S. C. Chew, B. C. Khoo, X. Zhao, and Y. D. Cui, "Application of a variational hybrid quantum-classical algorithm to heat conduction equation and analysis of time complexity", Physics of Fluids 34 11, 117121 (2022).

[923] Senrui Chen, Sisi Zhou, Alireza Seif, and Liang Jiang, "Quantum advantages for Pauli channel estimation", Physical Review A 105 3, 032435 (2022).

[924] Marie Lu, Jean-Loup Ville, Joachim Cohen, Alexandru Petrescu, Sydney Schreppler, Larry Chen, Christian Jünger, Chiara Pelletti, Alexei Marchenkov, Archan Banerjee, William P. Livingston, John Mark Kreikebaum, David I. Santiago, Alexandre Blais, and Irfan Siddiqi, "Multipartite Entanglement in Rabi-Driven Superconducting Qubits", PRX Quantum 3 4, 040322 (2022).

[925] Kishor Bharti, Tobias Haug, Vlatko Vedral, and Leong-Chuan Kwek, "Noisy intermediate-scale quantum algorithm for semidefinite programming", Physical Review A 105 5, 052445 (2022).

[926] Ludmila Botelho, Adam Glos, Akash Kundu, Jarosław Adam Miszczak, Özlem Salehi, and Zoltán Zimborás, "Error mitigation for variational quantum algorithms through mid-circuit measurements", Physical Review A 105 2, 022441 (2022).

[927] Qinghong Yang and Dong E. Liu, "Effect of quantum error correction on detection-induced coherent errors", Physical Review A 105 2, 022434 (2022).

[928] Brian Coyle, Mina Doosti, Elham Kashefi, and Niraj Kumar, "Progress toward practical quantum cryptanalysis by variational quantum cloning", Physical Review A 105 4, 042604 (2022).

[929] Jiawei Tan, Ligang Xiao, Daowen Qiu, Le Luo, and Paulo Mateus, "Distributed quantum algorithm for Simon's problem", Physical Review A 106 3, 032417 (2022).

[930] Gaurav Gyawali and Michael J. Lawler, "Adaptive variational preparation of the Fermi-Hubbard eigenstates", Physical Review A 105 1, 012413 (2022).

[931] Tarun Dutta, Adrián Pérez-Salinas, Jasper Phua Sing Cheng, José Ignacio Latorre, and Manas Mukherjee, "Single-qubit universal classifier implemented on an ion-trap quantum device", Physical Review A 106 1, 012411 (2022).

[932] Mogens Dalgaard, Felix Motzoi, and Jacob Sherson, "Predicting quantum dynamical cost landscapes with deep learning", Physical Review A 105 1, 012402 (2022).

[933] Bojia Duan and Chang-Yu Hsieh, "Hamiltonian-based data loading with shallow quantum circuits", Physical Review A 106 5, 052422 (2022).

[934] Hiroyuki Tezuka, Kouhei Nakaji, Takahiko Satoh, and Naoki Yamamoto, "Grover search revisited: Application to image pattern matching", Physical Review A 105 3, 032440 (2022).

[935] Markus Schmitt and Zala Lenarčič, "From observations to complexity of quantum states via unsupervised learning", Physical Review B 106 4, L041110 (2022).

[936] Maxime Dupont, Nicolas Didier, Mark J. Hodson, Joel E. Moore, and Matthew J. Reagor, "Calibrating the Classical Hardness of the Quantum Approximate Optimization Algorithm", PRX Quantum 3 4, 040339 (2022).

[937] Vinayak Jagadish, R. Srikanth, and Francesco Petruccione, "Measure of invertible dynamical maps under convex combinations of noninvertible dynamical maps", Physical Review A 106 1, 012438 (2022).

[938] Yu Pan, Yifan Tong, and Yi Yang, "Automatic depth optimization for a quantum approximate optimization algorithm", Physical Review A 105 3, 032433 (2022).

[939] Álvaro Gómez-León, Tomás Ramos, Diego Porras, and Alejandro González-Tudela, "Decimation technique for open quantum systems: A case study with driven-dissipative bosonic chains", Physical Review A 105 5, 052223 (2022).

[940] Tobias Haug and M. S. Kim, "Natural parametrized quantum circuit", Physical Review A 106 5, 052611 (2022).

[941] Bryan T. Gard and Adam M. Meier, "Classically efficient quantum scalable Fermi-Hubbard benchmark", Physical Review A 105 4, 042602 (2022).

[942] Arvid Rolander, Adam Kinos, and Andreas Walther, "Quantum error correction in the noisy intermediate-scale quantum regime for sequential quantum computing", Physical Review A 105 6, 062604 (2022).

[943] Amit Saha, Ritajit Majumdar, Debasri Saha, Amlan Chakrabarti, and Susmita Sur-Kolay, "Asymptotically improved circuit for a d -ary Grover's algorithm with advanced decomposition of the n -qudit Toffoli gate", Physical Review A 105 6, 062453 (2022).

[944] Gabriele Agliardi, Michele Grossi, Mathieu Pellen, and Enrico Prati, "Quantum integration of elementary particle processes", Physics Letters B 832, 137228 (2022).

[945] Leonid V. Abdurakhimov, Imran Mahboob, Hiraku Toida, Kosuke Kakuyanagi, Yuichiro Matsuzaki, and Shiro Saito, "Identification of Different Types of High-Frequency Defects in Superconducting Qubits", PRX Quantum 3 4, 040332 (2022).

[946] Suhail Ahmad Rather, S. Aravinda, and Arul Lakshminarayan, "Construction and Local Equivalence of Dual-Unitary Operators: From Dynamical Maps to Quantum Combinatorial Designs", PRX Quantum 3 4, 040331 (2022).

[947] Meng Zhang, Chao Wang, Shaojun Dong, Hao Zhang, Yongjian Han, and Lixin He, "Entanglement entropy scaling of noisy random quantum circuits in two dimensions", Physical Review A 106 5, 052430 (2022).

[948] D. K. Weiss, Helin Zhang, Chunyang Ding, Yuwei Ma, David I. Schuster, and Jens Koch, "Fast High-Fidelity Gates for Galvanically-Coupled Fluxonium Qubits Using Strong Flux Modulation", PRX Quantum 3 4, 040336 (2022).

[949] Mirko Consiglio, Tony J. G. Apollaro, and Marcin Wieśniak, "Variational approach to the quantum separability problem", Physical Review A 106 6, 062413 (2022).

[950] Zhenhuan Liu, Pei Zeng, You Zhou, and Mile Gu, "Characterizing correlation within multipartite quantum systems via local randomized measurements", Physical Review A 105 2, 022407 (2022).

[951] G. Martín-Vázquez, G. Aarts, M. Müller, and A. Bermudez, "Long-Range Ising Interactions Mediated by λ ϕ<SUP>4</SUP> Fields: Probing the Renormalization of Sound in Crystals of Trapped Ions", PRX Quantum 3 2, 020352 (2022).

[952] Andreas Hartmann, Glen Bigan Mbeng, and Wolfgang Lechner, "Polynomial scaling enhancement in the ground-state preparation of Ising spin models via counterdiabatic driving", Physical Review A 105 2, 022614 (2022).

[953] Cheng-Lin Hong, Ting Tsai, Jyh-Pin Chou, Peng-Jen Chen, Pei-Kai Tsai, Yu-Cheng Chen, En-Jui Kuo, David Srolovitz, Alice Hu, Yuan-Chung Cheng, and Hsi-Sheng Goan, "Accurate and Efficient Quantum Computations of Molecular Properties Using Daubechies Wavelet Molecular Orbitals: A Benchmark Study against Experimental Data", PRX Quantum 3 2, 020360 (2022).

[954] Jan Lukas Bosse and Ashley Montanaro, "Probing ground-state properties of the kagome antiferromagnetic Heisenberg model using the variational quantum eigensolver", Physical Review B 105 9, 094409 (2022).

[955] Alessandro Santini and Vittorio Vitale, "Experimental violations of Leggett-Garg inequalities on a quantum computer", Physical Review A 105 3, 032610 (2022).

[956] Artur Soriani, Pierre Nazé, Marcus V. S. Bonança, Bartłomiej Gardas, and Sebastian Deffner, "Three phases of quantum annealing: Fast, slow, and very slow", Physical Review A 105 4, 042423 (2022).

[957] Emanuel F. de Lima, Marllos E. F. Fernandes, and Leonardo K. Castelano, "Quantum computing with two independent control functions: Optimal solutions to the teleportation protocol", Physical Review A 105 3, 032454 (2022).

[958] Alicia B. Magann, Kenneth M. Rudinger, Matthew D. Grace, and Mohan Sarovar, "Lyapunov-control-inspired strategies for quantum combinatorial optimization", Physical Review A 106 6, 062414 (2022).

[959] Yahui Chai, Yong-Jian Han, Yu-Chun Wu, Ye Li, Menghan Dou, and Guo-Ping Guo, "Shortcuts to the quantum approximate optimization algorithm", Physical Review A 105 4, 042415 (2022).

[960] A. S. Kardashin, A. V. Vlasova, A. A. Pervishko, D. Yudin, and J. D. Biamonte, "Quantum-machine-learning channel discrimination", Physical Review A 106 3, 032409 (2022).

[961] Evan Peters, Prasanth Shyamsundar, Andy C. Y. Li, and Gabriel Perdue, "Qubit Assignment Using Time Reversal", PRX Quantum 3 4, 040333 (2022).

[962] G. S. Thekkadath, S. Sempere-Llagostera, B. A. Bell, R. B. Patel, M. S. Kim, and I. A. Walmsley, "Experimental Demonstration of Gaussian Boson Sampling with Displacement", PRX Quantum 3 2, 020336 (2022).

[963] Shu Kanno, Suguru Endo, Takeru Utsumi, and Tomofumi Tada, "Resource estimations for the Hamiltonian simulation in correlated electron materials", Physical Review A 106 1, 012612 (2022).

[964] V. M. Bastidas, T. Haug, C. Gravel, L. -C. Kwek, W. J. Munro, and Kae Nemoto, "Stroboscopic Hamiltonian engineering in the low-frequency regime with a one-dimensional quantum processor", Physical Review B 105 7, 075140 (2022).

[965] Christina Psaroudaki and Christos Panagopoulos, "Skyrmion helicity: Quantization and quantum tunneling effects", Physical Review B 106 10, 104422 (2022).

[966] K. J. Harikrishnan and Amit Kumar Pal, "Distinguishing phases via non-Markovian dynamics of entanglement in topological quantum codes under parallel magnetic field", Physical Review A 105 5, 052421 (2022).

[967] Chong Wang, Linhu Li, Jiangbin Gong, and Yu-xi Liu, "Arbitrary entangled state transfer via a topological qubit chain", Physical Review A 106 5, 052411 (2022).

[968] Francesco Preti, Tommaso Calarco, and Felix Motzoi, "Continuous Quantum Gate Sets and Pulse-Class Meta-Optimization", PRX Quantum 3 4, 040311 (2022).

[969] Benjamin L. Foulon, Keith G. Ray, Chang-Eun Kim, Yuan Liu, Brenda M. Rubenstein, and Vincenzo Lordi, "1 /ω electric-field noise in surface ion traps from correlated adsorbate dynamics", Physical Review A 105 1, 013107 (2022).

[970] Shashank Kumar Ranu and Daniel D. Stancil, "Single-magnon excited states of a Heisenberg spin chain using a quantum computer", Physical Review B 106 18, 184402 (2022).

[971] Fumiyoshi Kobayashi, Kosuke Mitarai, and Keisuke Fujii, "Parent Hamiltonian as a benchmark problem for variational quantum eigensolvers", Physical Review A 105 5, 052415 (2022).

[972] Yuan Yao, Pierre Cussenot, Richard A. Wolf, and Filippo Miatto, "Complex natural gradient optimization for optical quantum circuit design", Physical Review A 105 5, 052402 (2022).

[973] Nobuyuki Okuma and Yuya O. Nakagawa, "Nonnormal Hamiltonian dynamics in quantum systems and its realization on quantum computers", Physical Review B 105 5, 054304 (2022).

[974] Spencer T. Stober, Stuart M. Harwood, Dimitar Trenev, Panagiotis Kl. Barkoutsos, Tanvi P. Gujarati, and Sarah Mostame, "Considerations for evaluating thermodynamic properties with hybrid quantum-classical computing work flows", Physical Review A 105 1, 012425 (2022).

[975] Lewis W. Anderson, Martin Kiffner, Panagiotis Kl. Barkoutsos, Ivano Tavernelli, Jason Crain, and Dieter Jaksch, "Coarse-grained intermolecular interactions on quantum processors", Physical Review A 105 6, 062409 (2022).

[976] David Joseph, Antonio J. Martinez, Cong Ling, and Florian Mintert, "Quantum mean-value approximator for hard integer-value problems", Physical Review A 105 5, 052419 (2022).

[977] Yordan S. Yordanov, Crispin H. W. Barnes, and David R. M. Arvidsson-Shukur, "Molecular-excited-state calculations with the qubit-excitation-based adaptive variational quantum eigensolver protocol", Physical Review A 106 3, 032434 (2022).

[978] Dongni Chen, Si Luo, Ying-Dan Wang, Stefano Chesi, and Mahn-Soo Choi, "Geometric manipulation of a decoherence-free subspace in atomic ensembles", Physical Review A 105 2, 022627 (2022).

[979] Michele Vischi, Luca Ferialdi, Andrea Trombettoni, and Angelo Bassi, "Possible limits on superconducting quantum computers from spontaneous wave-function collapse models", Physical Review B 106 17, 174506 (2022).

[980] Min-Quan He, Dan-Bo Zhang, and Z. D. Wang, "Quantum Gaussian filter for exploring ground-state properties", Physical Review A 106 3, 032420 (2022).

[981] Jian Lin, Zhengfeng Zhang, Junping Zhang, and Xiaopeng Li, "Hard-instance learning for quantum adiabatic prime factorization", Physical Review A 105 6, 062455 (2022).

[982] En-Jui Kuo and Hossein Dehghani, "Unsupervised learning of interacting topological and symmetry-breaking phase transitions", Physical Review B 105 23, 235136 (2022).

[983] Yiyou Chen, Hideyuki Miyahara, Louis-S. Bouchard, and Vwani Roychowdhury, "Quantum approximation of normalized Schatten norms and applications to learning", Physical Review A 106 5, 052409 (2022).

[984] Christian Boudreault, Hichem Eleuch, Michael Hilke, and Richard MacKenzie, "Universal quantum computation with symmetric qubit clusters coupled to an environment", Physical Review A 106 6, 062610 (2022).

[985] Ohad Shpielberg, "Power-law decay of entanglement quantifiers in a single agent coupled to a many-body system", Physical Review A 105 4, 042420 (2022).

[986] Catherine Keele and Alastair Kay, "Noise-reducing encoding strategies for spin chains", Physical Review A 105 3, 032613 (2022).

[987] Shuanping Du and Zhaofang Bai, "Conversion of Gaussian states under incoherent Gaussian operations", Physical Review A 105 2, 022412 (2022).

[988] Luogen Xu, Joseph T. Lee, and J. K. Freericks, "Decomposition of high-rank factorized unitary coupled-cluster operators using ancilla and multiqubit controlled low-rank counterparts", Physical Review A 105 1, 012406 (2022).

[989] N. Barraza, C. -Y. Pan, L. Lamata, E. Solano, and F. Albarrán-Arriagada, "Adaptive random quantum eigensolver", Physical Review A 105 5, 052406 (2022).

[990] Amit Saha, Debasri Saha, and Amlan Chakrabarti, "Moving quantum states without SWAP via intermediate higher-dimensional qudits", Physical Review A 106 1, 012429 (2022).

[991] Fernando Martínez-García, Lukas Gerster, Davide Vodola, Pavel Hrmo, Thomas Monz, Philipp Schindler, and Markus Müller, "Analytical and experimental study of center-line miscalibrations in Mølmer-Sørensen gates", Physical Review A 105 3, 032437 (2022).

[992] Ohad Shpielberg, "Universal entanglement entropy in the ground state of biased bipartite systems", Physical Review A 106 3, L030401 (2022).

[993] Ruge Lin and Weiqiang Wen, "Quantum computation capability verification protocol for noisy intermediate-scale quantum devices with the dihedral coset problem", Physical Review A 106 1, 012430 (2022).

[994] J. A. Montañez-Barrera, Michael R. von Spakovsky, Cesar E. Damian Ascencio, and Sergio Cano-Andrade, "Decoherence predictions in a superconducting quantum processor using the steepest-entropy-ascent quantum thermodynamics framework", Physical Review A 106 3, 032426 (2022).

[995] Erik Aurell, Roberto Mulet, and Jan Tuziemski, "Real-time dynamics in diluted quantum networks", Physical Review A 105 2, 022205 (2022).

[996] Aritra Das and Barry C. Sanders, "Blind quantum factorization of 21", Physical Review A 106 1, 012421 (2022).

[997] Leela Ganesh Chandra Lakkaraju, Srijon Ghosh, Debasis Sadhukhan, and Aditi SenDe, "Mimicking quantum correlation of a long-range Hamiltonian by finite-range interactions", Physical Review A 106 5, 052425 (2022).

[998] Yuxuan Zhang, "Straddling-gates problem in multipartite quantum systems", Physical Review A 105 6, 062430 (2022).

[999] Federico Carollo and Vincenzo Alba, "Entangled multiplets and spreading of quantum correlations in a continuously monitored tight-binding chain", Physical Review B 106 22, L220304 (2022).

[1000] Manuel Weber, David J. Luitz, and Fakher F. Assaad, "Dissipation-Induced Order: The S =1 /2 Quantum Spin Chain Coupled to an Ohmic Bath", Physical Review Letters 129 5, 056402 (2022).

[1001] Zongkang Zhang, Yongdan Yang, Xiaosi Xu, and Ying Li, "Quantum algorithms for Schrieffer-Wolff transformation", Physical Review Research 4 4, 043023 (2022).

[1002] Maxwell Block, Yimu Bao, Soonwon Choi, Ehud Altman, and Norman Y. Yao, "Measurement-Induced Transition in Long-Range Interacting Quantum Circuits", Physical Review Letters 128 1, 010604 (2022).

[1003] Utkarsh Agrawal, Aidan Zabalo, Kun Chen, Justin H. Wilson, Andrew C. Potter, J. H. Pixley, Sarang Gopalakrishnan, and Romain Vasseur, "Entanglement and Charge-Sharpening Transitions in U(1) Symmetric Monitored Quantum Circuits", Physical Review X 12 4, 041002 (2022).

[1004] Andrew Arrasmith, Zoë Holmes, M. Cerezo, and Patrick J. Coles, "Equivalence of quantum barren plateaus to cost concentration and narrow gorges", Quantum Science and Technology 7 4, 045015 (2022).

[1005] Matteo Ippoliti, Tibor Rakovszky, and Vedika Khemani, "Fractal, Logarithmic, and Volume-Law Entangled Nonthermal Steady States via Spacetime Duality", Physical Review X 12 1, 011045 (2022).

[1006] Thomas Schuster, Bryce Kobrin, Ping Gao, Iris Cong, Emil T. Khabiboulline, Norbert M. Linke, Mikhail D. Lukin, Christopher Monroe, Beni Yoshida, and Norman Y. Yao, "Many-Body Quantum Teleportation via Operator Spreading in the Traversable Wormhole Protocol", Physical Review X 12 3, 031013 (2022).

[1007] Daniel González-Cuadra, Torsten V. Zache, Jose Carrasco, Barbara Kraus, and Peter Zoller, "Hardware Efficient Quantum Simulation of Non-Abelian Gauge Theories with Qudits on Rydberg Platforms", Physical Review Letters 129 16, 160501 (2022).

[1008] Adam Smith, Bernhard Jobst, Andrew G. Green, and Frank Pollmann, "Crossing a topological phase transition with a quantum computer", Physical Review Research 4 2, L022020 (2022).

[1009] Shi-Xin Zhang, Chang-Yu Hsieh, Shengyu Zhang, and Hong Yao, "Differentiable quantum architecture search", Quantum Science and Technology 7 4, 045023 (2022).

[1010] Sijia Gao, Fergus Hayes, Sarah Croke, Chris Messenger, and John Veitch, "Quantum algorithm for gravitational-wave matched filtering", Physical Review Research 4 2, 023006 (2022).

[1011] Samuel Mugel, Carlos Kuchkovsky, Escolástico Sánchez, Samuel Fernández-Lorenzo, Jorge Luis-Hita, Enrique Lizaso, and Román Orús, "Dynamic portfolio optimization with real datasets using quantum processors and quantum-inspired tensor networks", Physical Review Research 4 1, 013006 (2022).

[1012] Jinzhao Sun, Suguru Endo, Huiping Lin, Patrick Hayden, Vlatko Vedral, and Xiao Yuan, "Perturbative Quantum Simulation", Physical Review Letters 129 12, 120505 (2022).

[1013] Wibe A. de Jong, Kyle Lee, James Mulligan, Mateusz Płoskoń, Felix Ringer, and Xiaojun Yao, "Quantum simulation of nonequilibrium dynamics and thermalization in the Schwinger model", Physical Review D 106 5, 054508 (2022).

[1014] Zixin Huang, Gavin K. Brennen, and Yingkai Ouyang, "Imaging Stars with Quantum Error Correction", Physical Review Letters 129 21, 210502 (2022).

[1015] Nikolaos K. Kollas and Dimitris Moustos, "Generation and catalysis of coherence with scalar fields", Physical Review D 105 2, 025006 (2022).

[1016] Kevin Singh, Shraddha Anand, Andrew Pocklington, Jordan T. Kemp, and Hannes Bernien, "Dual-Element, Two-Dimensional Atom Array with Continuous-Mode Operation", Physical Review X 12 1, 011040 (2022).

[1017] Tobias Haug and Kishor Bharti, "Generalized quantum assisted simulator", Quantum Science and Technology 7 4, 045019 (2022).

[1018] Vinay Tripathi, Huo Chen, Mostafa Khezri, Ka-Wa Yip, E. M. Levenson-Falk, and Daniel A. Lidar, "Suppression of Crosstalk in Superconducting Qubits Using Dynamical Decoupling", Physical Review Applied 18 2, 024068 (2022).

[1019] Karolina Kolos, Vladimir Sobes, Ramona Vogt, Catherine E. Romano, Michael S. Smith, Lee A. Bernstein, David A. Brown, Mary T. Burkey, Yaron Danon, Mohamed A. Elsawi, Bethany L. Goldblum, Lawrence H. Heilbronn, Susan L. Hogle, Jesson Hutchinson, Ben Loer, Elizabeth A. McCutchan, Matthew R. Mumpower, Ellen M. O'Brien, Catherine Percher, Patrick N. Peplowski, Jennifer J. Ressler, Nicolas Schunck, Nicholas W. Thompson, Andrew S. Voyles, William Wieselquist, and Michael Zerkle, "Current nuclear data needs for applications", Physical Review Research 4 2, 021001 (2022).

[1020] Akash Kundu and Jarosław Adam Miszczak, "Variational certification of quantum devices", Quantum Science and Technology 7 4, 045017 (2022).

[1021] Bálint Koczor and Simon C. Benjamin, "Quantum analytic descent", Physical Review Research 4 2, 023017 (2022).

[1022] Efekan Kökcü, Thomas Steckmann, Yan Wang, J. K. Freericks, Eugene F. Dumitrescu, and Alexander F. Kemper, "Fixed Depth Hamiltonian Simulation via Cartan Decomposition", Physical Review Letters 129 7, 070501 (2022).

[1023] N. N. Hegade, P. Chandarana, K. Paul, Xi Chen, F. Albarrán-Arriagada, and E. Solano, "Portfolio optimization with digitized counterdiabatic quantum algorithms", Physical Review Research 4 4, 043204 (2022).

[1024] I. -Chi Chen, Benjamin Burdick, Yongxin Yao, Peter P. Orth, and Thomas Iadecola, "Error-mitigated simulation of quantum many-body scars on quantum computers with pulse-level control", Physical Review Research 4 4, 043027 (2022).

[1025] Oriel Kiss, Michele Grossi, Pavel Lougovski, Federico Sanchez, Sofia Vallecorsa, and Thomas Papenbrock, "Quantum computing of the <SUP>6</SUP>Li nucleus via ordered unitary coupled clusters", Physical Review C 106 3, 034325 (2022).

[1026] Hong-Ye Hu and Yi-Zhuang You, "Hamiltonian-driven shadow tomography of quantum states", Physical Review Research 4 1, 013054 (2022).

[1027] Gregory Boyd and Bálint Koczor, "Training Variational Quantum Circuits with CoVaR: Covariance Root Finding with Classical Shadows", Physical Review X 12 4, 041022 (2022).

[1028] M. Kjaergaard, M. E. Schwartz, A. Greene, G. O. Samach, A. Bengtsson, M. O'Keeffe, C. M. McNally, J. Braumüller, D. K. Kim, P. Krantz, M. Marvian, A. Melville, B. M. Niedzielski, Y. Sung, R. Winik, J. Yoder, D. Rosenberg, K. Obenland, S. Lloyd, T. P. Orlando, I. Marvian, S. Gustavsson, and W. D. Oliver, "Demonstration of Density Matrix Exponentiation Using a Superconducting Quantum Processor", Physical Review X 12 1, 011005 (2022).

[1029] Masaya Kohda, Ryosuke Imai, Keita Kanno, Kosuke Mitarai, Wataru Mizukami, and Yuya O. Nakagawa, "Quantum expectation-value estimation by computational basis sampling", Physical Review Research 4 3, 033173 (2022).

[1030] Rihito Sakurai, Wataru Mizukami, and Hiroshi Shinaoka, "Hybrid quantum-classical algorithm for computing imaginary-time correlation functions", Physical Review Research 4 2, 023219 (2022).

[1031] P. Chandarana, N. N. Hegade, K. Paul, F. Albarrán-Arriagada, E. Solano, A. del Campo, and Xi Chen, "Digitized-counterdiabatic quantum approximate optimization algorithm", Physical Review Research 4 1, 013141 (2022).

[1032] Jean-Loup Ville, Alexis Morvan, Akel Hashim, Ravi K. Naik, Marie Lu, Bradley Mitchell, John-Mark Kreikebaum, Kevin P. O'Brien, Joel J. Wallman, Ian Hincks, Joseph Emerson, Ethan Smith, Ed Younis, Costin Iancu, David I. Santiago, and Irfan Siddiqi, "Leveraging randomized compiling for the quantum imaginary-time-evolution algorithm", Physical Review Research 4 3, 033140 (2022).

[1033] Aydin Deger, Sthitadhi Roy, and Achilleas Lazarides, "Arresting Classical Many-Body Chaos by Kinetic Constraints", Physical Review Letters 129 16, 160601 (2022).

[1034] Bruno Murta and J. Fernández-Rossier, "One-to-one correspondence between thermal structure factors and coupling constants of general bilinear Hamiltonians", Physical Review E 105 6, L062101 (2022).

[1035] Manuel G. Algaba, Mario Ponce-Martinez, Carlos Munuera-Javaloy, Vicente Pina-Canelles, Manish J. Thapa, Bruno G. Taketani, Martin Leib, Inés de Vega, Jorge Casanova, and Hermanni Heimonen, "Co-Design quantum simulation of nanoscale NMR", Physical Review Research 4 4, 043089 (2022).

[1036] Jason Larkin, Matías Jonsson, Daniel Justice, and Gian Giacomo Guerreschi, "Evaluation of QAOA based on the approximation ratio of individual samples", Quantum Science and Technology 7 4, 045014 (2022).

[1037] Joris Kattemölle and Jasper van Wezel, "Variational quantum eigensolver for the Heisenberg antiferromagnet on the kagome lattice", Physical Review B 106 21, 214429 (2022).

[1038] Kian Hwee Lim, Tobias Haug, Leong Chuan Kwek, and Kishor Bharti, "Fast-forwarding with NISQ processors without feedback loop", Quantum Science and Technology 7 1, 015001 (2022).

[1039] Zhenhuan Liu, Yifan Tang, Hao Dai, Pengyu Liu, Shu Chen, and Xiongfeng Ma, "Detecting Entanglement in Quantum Many-Body Systems via Permutation Moments", Physical Review Letters 129 26, 260501 (2022).

[1040] Benjamin Lienhard, Antti Vepsäläinen, Luke C. G. Govia, Cole R. Hoffer, Jack Y. Qiu, Diego Ristè, Matthew Ware, David Kim, Roni Winik, Alexander Melville, Bethany Niedzielski, Jonilyn Yoder, Guilhem J. Ribeill, Thomas A. Ohki, Hari K. Krovi, Terry P. Orlando, Simon Gustavsson, and William D. Oliver, "Deep-Neural-Network Discrimination of Multiplexed Superconducting-Qubit States", Physical Review Applied 17 1, 014024 (2022).

[1041] Taylor L. Patti, Jean Kossaifi, Anima Anandkumar, and Susanne F. Yelin, "Variational quantum optimization with multibasis encodings", Physical Review Research 4 3, 033142 (2022).

[1042] Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, and Shinjae Yoo, "Quantum convolutional neural networks for high energy physics data analysis", Physical Review Research 4 1, 013231 (2022).

[1043] Michael Meth, Viacheslav Kuzmin, Rick van Bijnen, Lukas Postler, Roman Stricker, Rainer Blatt, Martin Ringbauer, Thomas Monz, Pietro Silvi, and Philipp Schindler, "Probing Phases of Quantum Matter with an Ion-Trap Tensor-Network Quantum Eigensolver", Physical Review X 12 4, 041035 (2022).

[1044] Masahito Hayashi, Zi-Wen Liu, and Haidong Yuan, "Global Heisenberg scaling in noisy and practical phase estimation", Quantum Science and Technology 7 2, 025030 (2022).

[1045] Wenyang Qian, Robert Basili, Soham Pal, Glenn Luecke, and James P. Vary, "Solving hadron structures using the basis light-front quantization approach on quantum computers", Physical Review Research 4 4, 043193 (2022).

[1046] Jinyoung Ha, Jonghyun Lee, and Jun Heo, "Resource analysis of quantum computing with noisy qubits for Shor's factoring algorithms", Quantum Information Processing 21 2, 60 (2022).

[1047] Lucas Slattery, Benjamin Villalonga, and Bryan K. Clark, "Unitary block optimization for variational quantum algorithms", Physical Review Research 4 2, 023072 (2022).

[1048] Thomas Hubregtsen, Frederik Wilde, Shozab Qasim, and Jens Eisert, "Single-component gradient rules for variational quantum algorithms", Quantum Science and Technology 7 3, 035008 (2022).

[1049] Jérôme F. Gonthier, Maxwell D. Radin, Corneliu Buda, Eric J. Doskocil, Clena M. Abuan, and Jhonathan Romero, "Measurements as a roadblock to near-term practical quantum advantage in chemistry: Resource analysis", Physical Review Research 4 3, 033154 (2022).

[1050] Manuel S. Rudolph, Ntwali Bashige Toussaint, Amara Katabarwa, Sonika Johri, Borja Peropadre, and Alejandro Perdomo-Ortiz, "Generation of High-Resolution Handwritten Digits with an Ion-Trap Quantum Computer", Physical Review X 12 3, 031010 (2022).

[1051] Özlem Salehi, Adam Glos, and Jarosław Adam Miszczak, "Unconstrained binary models of the travelling salesman problem variants for quantum optimization", Quantum Information Processing 21 2, 67 (2022).

[1052] Philipp Pfeffer, Florian Heyder, and Jörg Schumacher, "Hybrid quantum-classical reservoir computing of thermal convection flow", Physical Review Research 4 3, 033176 (2022).

[1053] Pengyu Liu, Zhenhuan Liu, Shu Chen, and Xiongfeng Ma, "Fundamental Limitation on the Detectability of Entanglement", Physical Review Letters 129 23, 230503 (2022).

[1054] Anthony W. Schlimgen, Kade Head-Marsden, LeeAnn M. Sager, Prineha Narang, and David A. Mazziotti, "Quantum simulation of the Lindblad equation using a unitary decomposition of operators", Physical Review Research 4 2, 023216 (2022).

[1055] Frédéric Sauvage and Florian Mintert, "Optimal Control of Families of Quantum Gates", Physical Review Letters 129 5, 050507 (2022).

[1056] Plato Deliyannis, James Sud, Diana Chamaki, Zoë Webb-Mack, Christian W. Bauer, and Benjamin Nachman, "Improving quantum simulation efficiency of final state radiation with dynamic quantum circuits", Physical Review D 106 3, 036007 (2022).

[1057] Alexis Morvan, Larry Chen, Jeffrey M. Larson, David I. Santiago, and Irfan Siddiqi, "Optimizing frequency allocation for fixed-frequency superconducting quantum processors", Physical Review Research 4 2, 023079 (2022).

[1058] Yinqi Chen, Konstantin N. Nesterov, Vladimir E. Manucharyan, and Maxim G. Vavilov, "Fast Flux Entangling Gate for Fluxonium Circuits", Physical Review Applied 18 3, 034027 (2022).

[1059] Ranyiliu Chen, Zhixin Song, Xuanqiang Zhao, and Xin Wang, "Variational quantum algorithms for trace distance and fidelity estimation", Quantum Science and Technology 7 1, 015019 (2022).

[1060] Jin-Min Liang, Shu-Qian Shen, Ming Li, and Shao-Ming Fei, "Quantum algorithms for the generalized eigenvalue problem", Quantum Information Processing 21 1, 23 (2022).

[1061] Noah F. Berthusen, Thaís V. Trevisan, Thomas Iadecola, and Peter P. Orth, "Quantum dynamics simulations beyond the coherence time on noisy intermediate-scale quantum hardware by variational Trotter compression", Physical Review Research 4 2, 023097 (2022).

[1062] Kazuki Ikeda and Shoto Aoki, "Theory of quantum games and quantum economic behavior", Quantum Information Processing 21 1, 27 (2022).

[1063] Toni L. Heugel, Oded Zilberberg, Christian Marty, R. Chitra, and Alexander Eichler, "Ising machines with strong bilinear coupling", Physical Review Research 4 1, 013149 (2022).

[1064] Kentaro Yamamoto, David Zsolt Manrique, Irfan T. Khan, Hideaki Sawada, and David Muñoz Ramo, "Quantum hardware calculations of periodic systems with partition-measurement symmetry verification: Simplified models of hydrogen chain and iron crystals", Physical Review Research 4 3, 033110 (2022).

[1065] Ziwen Huang, Xinyuan You, Ugur Alyanak, Alexander Romanenko, Anna Grassellino, and Shaojiang Zhu, "High-Order Qubit Dephasing at Sweet Spots by Non-Gaussian Fluctuators: Symmetry Breaking and Floquet Protection", Physical Review Applied 18 6, L061001 (2022).

[1066] Emilie Huffman, Miguel García Vera, and Debasish Banerjee, "Toward the real-time evolution of gauge-invariant Z<SUB>2</SUB> and U (1 ) quantum link models on noisy intermediate-scale quantum hardware with error mitigation", Physical Review D 106 9, 094502 (2022).

[1067] LeeAnn M. Sager and David A. Mazziotti, "Cooper-pair condensates with nonclassical long-range order on quantum devices", Physical Review Research 4 1, 013003 (2022).

[1068] Yunlong Yu, Chenfeng Cao, Carter Dewey, Xiang-Bin Wang, Nic Shannon, and Robert Joynt, "Quantum approximate optimization algorithm with adaptive bias fields", Physical Review Research 4 2, 023249 (2022).

[1069] Akel Hashim, Rich Rines, Victory Omole, Ravi K. Naik, John Mark Kreikebaum, David I. Santiago, Frederic T. Chong, Irfan Siddiqi, and Pranav Gokhale, "Optimized SWAP networks with equivalent circuit averaging for QAOA", Physical Review Research 4 3, 033028 (2022).

[1070] Quancheng Liu, Klaus Ziegler, David A. Kessler, and Eli Barkai, "Driving quantum systems with periodic conditional measurements", Physical Review Research 4 2, 023129 (2022).

[1071] John P. T. Stenger, Gilad Ben-Shach, David Pekker, and Nicholas T. Bronn, "Simulating spectroscopy experiments with a superconducting quantum computer", Physical Review Research 4 4, 043106 (2022).

[1072] Andrew Y. Guo, Abhinav Deshpande, Su-Kuan Chu, Zachary Eldredge, Przemyslaw Bienias, Dhruv Devulapalli, Yuan Su, Andrew M. Childs, and Alexey V. Gorshkov, "Implementing a fast unbounded quantum fanout gate using power-law interactions", Physical Review Research 4 4, L042016 (2022).

[1073] Carsten Blank, Adenilton J. da Silva, Lucas P. de Albuquerque, Francesco Petruccione, and Daniel K. Park, "Compact quantum kernel-based binary classifier", Quantum Science and Technology 7 4, 045007 (2022).

[1074] Jacopo Rizzo, Francesco Libbi, Francesco Tacchino, Pauline J. Ollitrault, Nicola Marzari, and Ivano Tavernelli, "One-particle Green's functions from the quantum equation of motion algorithm", Physical Review Research 4 4, 043011 (2022).

[1075] R. S. Amal and J. Solomon Ivan, "A quantum genetic algorithm for optimization problems on the Bloch sphere", Quantum Information Processing 21 2, 43 (2022).

[1076] Zhiyuan Yao, Lei Pan, Shang Liu, and Pengfei Zhang, "Bounding entanglement entropy using zeros of local correlation matrices", Physical Review Research 4 4, L042037 (2022).

[1077] Takashi Tsuchimochi, Masaki Taii, Taisei Nishimaki, and Seiichiro L. Ten-no, "Adaptive construction of shallower quantum circuits with quantum spin projection for fermionic systems", Physical Review Research 4 3, 033100 (2022).

[1078] Vivien Vandaele, Simon Martiel, and Timothée Goubault de Brugière, "Phase polynomials synthesis algorithms for NISQ architectures and beyond", Quantum Science and Technology 7 4, 045027 (2022).

[1079] Ioannis Kolotouros and Petros Wallden, "Evolving objective function for improved variational quantum optimization", Physical Review Research 4 2, 023225 (2022).

[1080] Bingzhi Zhang and Quntao Zhuang, "Fast decay of classification error in variational quantum circuits", Quantum Science and Technology 7 3, 035017 (2022).

[1081] Baptiste Anselme Martin, Pascal Simon, and Marko J. Rančić, "Simulating strongly interacting Hubbard chains with the variational Hamiltonian ansatz on a quantum computer", Physical Review Research 4 2, 023190 (2022).

[1082] Yohei Ibe, Yuya O. Nakagawa, Nathan Earnest, Takahiro Yamamoto, Kosuke Mitarai, Qi Gao, and Takao Kobayashi, "Calculating transition amplitudes by variational quantum deflation", Physical Review Research 4 1, 013173 (2022).

[1083] Luca Chirolli, Norman Y. Yao, and Joel E. Moore, "SWAP Gate between a Majorana Qubit and a Parity-Protected Superconducting Qubit", Physical Review Letters 129 17, 177701 (2022).

[1084] Jacob L. Beckey, M. Cerezo, Akira Sone, and Patrick J. Coles, "Variational quantum algorithm for estimating the quantum Fisher information", Physical Review Research 4 1, 013083 (2022).

[1085] Hersh Singh, "Qubit regularized O (N ) nonlinear sigma models", Physical Review D 105 11, 114509 (2022).

[1086] W. D. Kalfus, G. J. Ribeill, G. E. Rowlands, H. K. Krovi, T. A. Ohki, and L. C. G. Govia, "Hilbert space as a computational resource in reservoir computing", Physical Review Research 4 3, 033007 (2022).

[1087] Shohei Imai, Atsushi Ono, and Sumio Ishihara, "Energy-band echoes: Time-reversed light emission from optically driven quasiparticle wave packets", Physical Review Research 4 4, 043155 (2022).

[1088] Luca Erhart, Kosuke Mitarai, Wataru Mizukami, and Keisuke Fujii, "Constructing Local Bases for a Deep Variational Quantum Eigensolver for Molecular Systems", Physical Review Applied 18 6, 064051 (2022).

[1089] Lidia Stocker, Stefan H. Sack, Michael S. Ferguson, and Oded Zilberberg, "Entanglement-based observables for quantum impurities", Physical Review Research 4 4, 043177 (2022).

[1090] Maiyuren Srikumar, Charles D. Hill, and Lloyd C. L. Hollenberg, "Clustering and enhanced classification using a hybrid quantum autoencoder", Quantum Science and Technology 7 1, 015020 (2022).

[1091] Kevin Mato, Riccardo Mengoni, Daniele Ottaviani, and Gianluca Palermo, "Quantum molecular unfolding", Quantum Science and Technology 7 3, 035020 (2022).

[1092] Zidu Liu, L. -M. Duan, and Dong-Ling Deng, "Solving quantum master equations with deep quantum neural networks", Physical Review Research 4 1, 013097 (2022).

[1093] Fan-Xu Meng, Ze-Tong Li, Yu Xu-Tao, and Zai-Chen Zhang, "Quantum algorithm for MUSIC-based DOA estimation in hybrid MIMO systems", Quantum Science and Technology 7 2, 025002 (2022).

[1094] Obinna Abah, Gabriele De Chiara, Mauro Paternostro, and Ricardo Puebla, "Harnessing nonadiabatic excitations promoted by a quantum critical point: Quantum battery and spin squeezing", Physical Review Research 4 2, L022017 (2022).

[1095] Kim Pöyhönen, Ali G. Moghaddam, and Teemu Ojanen, "Many-body entanglement and topology from uncertainties and measurement-induced modes", Physical Review Research 4 2, 023200 (2022).

[1096] A. D. Muñoz-Moller, L. Pereira, L. Zambrano, J. Cortés-Vega, and A. Delgado, "Variational Determination of Multiqubit Geometrical Entanglement in Noisy Intermediate-Scale Quantum Computers", Physical Review Applied 18 2, 024048 (2022).

[1097] Emil Mathew and Indrakshi Raychowdhury, "Protecting local and global symmetries in simulating (1 +1 )D non-Abelian gauge theories", Physical Review D 106 5, 054510 (2022).

[1098] Matthew Girling, Cristina Cîrstoiu, and David Jennings, "Estimation of correlations and nonseparability in quantum channels via unitarity benchmarking", Physical Review Research 4 2, 023041 (2022).

[1099] Isabel Nha Minh Le, Julian D. Teske, Tobias Hangleiter, Pascal Cerfontaine, and Hendrik Bluhm, "Analytic Filter-Function Derivatives for Quantum Optimal Control", Physical Review Applied 17 2, 024006 (2022).

[1100] Austin K. Daniel, Yingyue Zhu, C. Huerta Alderete, Vikas Buchemmavari, Alaina M. Green, Nhung H. Nguyen, Tyler G. Thurtell, Andrew Zhao, Norbert M. Linke, and Akimasa Miyake, "Quantum computational advantage attested by nonlocal games with the cyclic cluster state", Physical Review Research 4 3, 033068 (2022).

[1101] Anton Potočnik, Steven Brebels, Jeroen Verjauw, Rohith Acharya, Alexander Grill, Danny Wan, Massimo Mongillo, Ruoyu Li, Tsvetan Ivanov, Steven Van Winckel, Fahd A. Mohiyaddin, Bogdan Govoreanu, Jan Craninckx, and Iuliana P. Radu, "Millikelvin temperature cryo-CMOS multiplexer for scalable quantum device characterisation", Quantum Science and Technology 7 1, 015004 (2022).

[1102] Utkan Güngördü and J. P. Kestner, "Robust quantum gates using smooth pulses and physics-informed neural networks", Physical Review Research 4 2, 023155 (2022).

[1103] Ian MacCormack, Conor Delaney, Alexey Galda, Nidhi Aggarwal, and Prineha Narang, "Branching quantum convolutional neural networks", Physical Review Research 4 1, 013117 (2022).

[1104] Carolyn Ten Holter, Philip Inglesant, Rupesh Srivastava, and Marina Jirotka, "Bridging the quantum divides: a chance to repair classic(al) mistakes?", Quantum Science and Technology 7 4, 044006 (2022).

[1105] Roeland Wiersema, Leonardo Guerini, Juan Felipe Carrasquilla, and Leandro Aolita, "Circuit connectivity boosts by quantum-classical-quantum interfaces", Physical Review Research 4 4, 043221 (2022).

[1106] Ángel Gutiérrez-Rubio, Juan S. Rojas-Arias, Jun Yoneda, Seigo Tarucha, Daniel Loss, and Peter Stano, "Bayesian estimation of correlation functions", Physical Review Research 4 4, 043166 (2022).

[1107] D. V. Babukhin and W. V. Pogosov, "The effect of quantum noise on algorithmic perfect quantum state transfer on NISQ processors", Quantum Information Processing 21 1, 7 (2022).

[1108] Prithvi Gundlapalli and Junyi Lee, "Deterministic and Entanglement-Efficient Preparation of Amplitude-Encoded Quantum Registers", Physical Review Applied 18 2, 024013 (2022).

[1109] E. Bahnsen, S. E. Rasmussen, N. J. S. Loft, and N. T. Zinner, "Application of the Diamond Gate in Quantum Fourier Transformations and Quantum Machine Learning", Physical Review Applied 17 2, 024053 (2022).

[1110] Maurice Weber, Abhinav Anand, Alba Cervera-Lierta, Jakob S. Kottmann, Thi Ha Kyaw, Bo Li, Alán Aspuru-Guzik, Ce Zhang, and Zhikuan Zhao, "Toward reliability in the NISQ era: Robust interval guarantee for quantum measurements on approximate states", Physical Review Research 4 3, 033217 (2022).

[1111] Philipp M. Mutter and Guido Burkard, "Fingerprints of Qubit Noise in Transient Cavity Transmission", Physical Review Letters 128 23, 236801 (2022).

[1112] Shichuan Xue, Yizhi Wang, Junwei Zhan, Yaxuan Wang, Ru Zeng, Jiangfang Ding, Weixu Shi, Yong Liu, Yingwen Liu, Anqi Huang, Guangyao Huang, Chunlin Yu, Dongyang Wang, Xiang Fu, Xiaogang Qiang, Ping Xu, Mingtang Deng, Xuejun Yang, and Junjie Wu, "Variational Entanglement-Assisted Quantum Process Tomography with Arbitrary Ancillary Qubits", Physical Review Letters 129 13, 133601 (2022).

[1113] Paolo Braccia, Leonardo Banchi, and Filippo Caruso, "Quantum Noise Sensing by Generating Fake Noise", Physical Review Applied 17 2, 024002 (2022).

[1114] Akshaya Jayashankar, My Duy Hoang Long, Hui Khoon Ng, and Prabha Mandayam, "Achieving fault tolerance against amplitude-damping noise", Physical Review Research 4 2, 023034 (2022).

[1115] Ratul Banerjee, Amit Kumar Pal, and Aditi SenDe, "Hierarchies of localizable entanglement due to spatial distribution of local noise", Physical Review Research 4 2, 023035 (2022).

[1116] Jino Heo and Seong-Gon Choi, "Photonic scheme of quantum phase estimation for quantum algorithms via quantum dots", Quantum Information Processing 21 1, 6 (2022).

[1117] David Subires, Fernando J. Gómez-Ruiz, Antonia Ruiz-García, Daniel Alonso, and Adolfo del Campo, "Benchmarking quantum annealing dynamics: The spin-vector Langevin model", Physical Review Research 4 2, 023104 (2022).

[1118] Yi Hu, Fanxu Meng, Xiaojun Wang, Tian Luan, Yulong Fu, Zaichen Zhang, Xianchao Zhang, and Xutao Yu, "Greedy algorithm based circuit optimization for near-term quantum simulation", Quantum Science and Technology 7 4, 045001 (2022).

[1119] Noa Feldman and Moshe Goldstein, "Noisy quantum computation modeled by quantum walk: universality without ancillas", Quantum Science and Technology 7 4, 045032 (2022).

[1120] Zhi-Cheng Yang, "Distinction between transport and Rényi entropy growth in kinetically constrained models", Physical Review B 106 22, L220303 (2022).

[1121] Laura Gentini, Alessandro Cuccoli, and Leonardo Banchi, "Variational Adiabatic Gauge Transformation on Real Quantum Hardware for Effective Low-Energy Hamiltonians and Accurate Diagonalization", Physical Review Applied 18 3, 034025 (2022).

[1122] Anbang Wang, Jingning Zhang, and Ying Li, "Error-mitigated deep-circuit quantum simulation of open systems: Steady state and relaxation rate problems", Physical Review Research 4 4, 043140 (2022).

[1123] Anna Dawid, Julian Arnold, Borja Requena, Alexander Gresch, Marcin Płodzień, Kaelan Donatella, Kim A. Nicoli, Paolo Stornati, Rouven Koch, Miriam Büttner, Robert Okuła, Gorka Muñoz-Gil, Rodrigo A. Vargas-Hernández, Alba Cervera-Lierta, Juan Carrasquilla, Vedran Dunjko, Marylou Gabrié, Patrick Huembeli, Evert van Nieuwenburg, Filippo Vicentini, Lei Wang, Sebastian J. Wetzel, Giuseppe Carleo, Eliška Greplová, Roman Krems, Florian Marquardt, Michał Tomza, Maciej Lewenstein, and Alexandre Dauphin, "Modern applications of machine learning in quantum sciences", arXiv:2204.04198, (2022).

[1124] Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, Masoud Mohseni, Hartmut Neven, Ryan Babbush, Richard Kueng, John Preskill, and Jarrod R. McClean, "Quantum advantage in learning from experiments", Science 376 6598, 1182 (2022).

[1125] Alexey Melnikov, Mohammad Kordzanganeh, Alexander Alodjants, and Ray-Kuang Lee, "Quantum machine learning: from physics to software engineering", Advances in Physics X 8 1, 2165452 (2023).

[1126] Martin Larocca, Piotr Czarnik, Kunal Sharma, Gopikrishnan Muraleedharan, Patrick J. Coles, and M. Cerezo, "Diagnosing Barren Plateaus with Tools from Quantum Optimal Control", Quantum 6, 824 (2022).

[1127] Shiro Tamiya and Hayata Yamasaki, "Stochastic gradient line Bayesian optimization for efficient noise-robust optimization of parameterized quantum circuits", npj Quantum Information 8, 90 (2022).

[1128] Andrea Skolik, Sofiene Jerbi, and Vedran Dunjko, "Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning", Quantum 6, 720 (2022).

[1129] Liangliang Fan and Haozhen Situ, "Compact data encoding for data re-uploading quantum classifier", Quantum Information Processing 21 3, 87 (2022).

[1130] Yu Zhang, Lukasz Cincio, Christian F. A. Negre, Piotr Czarnik, Patrick J. Coles, Petr M. Anisimov, Susan M. Mniszewski, Sergei Tretiak, and Pavel A. Dub, "Variational quantum eigensolver with reduced circuit complexity", npj Quantum Information 8, 96 (2022).

[1131] Alexey E. Rastegin and Anzhelika M. Shemet, "Quantum search degeneration under amplitude noise in queries to the oracle", Quantum Information Processing 21 5, 158 (2022).

[1132] Matthias M. Müller, Ressa S. Said, Fedor Jelezko, Tommaso Calarco, and Simone Montangero, "One decade of quantum optimal control in the chopped random basis", Reports on Progress in Physics 85 7, 076001 (2022).

[1133] Jonathan Wurtz and Peter J. Love, "Counterdiabaticity and the quantum approximate optimization algorithm", Quantum 6, 635 (2022).

[1134] Luqman Khan, Anwar Zaman, Rashid Ahmad, and Sajid Khan, "Experimentally implementing the step-dependent discrete-time quantum walk on quantum computers", Canadian Journal of Physics 101 4, 176 (2023).

[1135] Paul K. Faehrmann, Mark Steudtner, Richard Kueng, Maria Kieferova, and Jens Eisert, "Randomizing multi-product formulas for Hamiltonian simulation", Quantum 6, 806 (2022).

[1136] Mao Tian Tan, Yifan Wang, and Aditi Mitra, "Topological Defects in Floquet Circuits", arXiv:2206.06272, (2022).

[1137] Miguel Caçador Peixoto, Nuno Filipe Castro, Miguel Crispim Romão, Maria Gabriela Jordão Oliveira, and Inês Ochoa, "Fitting a Collider in a Quantum Computer: Tackling the Challenges of Quantum Machine Learning for Big Datasets", arXiv:2211.03233, (2022).

[1138] Salvatore F. E. Oliviero, Lorenzo Leone, Alioscia Hamma, and Seth Lloyd, "Measuring magic on a quantum processor", npj Quantum Information 8, 148 (2022).

[1139] Thomas Ayral, Pauline Besserve, Denis Lacroix, and Edgar Andres Ruiz Guzman, "Quantum computing with and for many-body physics", European Physical Journal A 59 10, 227 (2023).

[1140] Sven Jandura and Guido Pupillo, "Time-Optimal Two- and Three-Qubit Gates for Rydberg Atoms", Quantum 6, 712 (2022).

[1141] Elijah Pelofske, Andreas Bärtschi, and Stephan Eidenbenz, "Quantum Volume in Practice: What Users Can Expect from NISQ Devices", arXiv:2203.03816, (2022).

[1142] Anirban Mukherjee, Noah F. Berthusen, João C. Getelina, Peter P. Orth, and Yong-Xin Yao, "Comparative study of adaptive variational quantum eigensolvers for multi-orbital impurity models", Communications Physics 6 1, 4 (2023).

[1143] Jin Ming Koh, Tommy Tai, Yong Han Phee, Wei En Ng, and Ching Hua Lee, "Stabilizing multiple topological fermions on a quantum computer", npj Quantum Information 8, 16 (2022).

[1144] Steven Herbert, "Quantum Monte Carlo Integration: The Full Advantage in Minimal Circuit Depth", Quantum 6, 823 (2022).

[1145] Boxi Li, Shahnawaz Ahmed, Sidhant Saraogi, Neill Lambert, Franco Nori, Alexander Pitchford, and Nathan Shammah, "Pulse-level noisy quantum circuits with QuTiP", Quantum 6, 630 (2022).

[1146] Jonah Kudler-Flam, Ramanjit Sohal, and Laimei Nie, "Information Scrambling with Conservation Laws", SciPost Physics 12 4, 117 (2022).

[1147] Christophe Piveteau, David Sutter, and Stefan Woerner, "Quasiprobability decompositions with reduced sampling overhead", npj Quantum Information 8, 12 (2022).

[1148] Henrique Silvério, Sebastián Grijalva, Constantin Dalyac, Lucas Leclerc, Peter J. Karalekas, Nathan Shammah, Mourad Beji, Louis-Paul Henry, and Loïc Henriet, "Pulser: An open-source package for the design of pulse sequences in programmable neutral-atom arrays", Quantum 6, 629 (2022).

[1149] Daniel Gottesman, "Opportunities and Challenges in Fault-Tolerant Quantum Computation", arXiv:2210.15844, (2022).

[1150] Shuvro Chowdhury, Kerem Y. Camsari, and Supriyo Datta, "Accelerated quantum Monte Carlo with probabilistic computers", Communications Physics 6 1, 85 (2023).

[1151] Seyed Shakib Vedaie, Archismita Dalal, Eduardo J. Páez, and Barry C. Sanders, "Framework for learning and control in the classical and quantum domains", Annals of Physics 458, 169471 (2023).

[1152] Zixuan Hu, Kade Head-Marsden, David A. Mazziotti, Prineha Narang, and Sabre Kais, "A general quantum algorithm for open quantum dynamics demonstrated with the Fenna-Matthews-Olson complex", Quantum 6, 726 (2022).

[1153] Siddharth Dangwal, Ritvik Sharma, and Debanjan Bhowmik, "Fast-QTrain: an algorithm for fast training of variational classifiers", Quantum Information Processing 21 5, 189 (2022).

[1154] Troy J. Sewell, Christopher David White, and Brian Swingle, "Thermal Multi-scale Entanglement Renormalization Ansatz for Variational Gibbs State Preparation", arXiv:2210.16419, (2022).

[1155] Sergio Miguel-Tomé, Ángel L. Sánchez-Lázaro, and Luis Alonso-Romero, "Fundamental Physics and Computation: The Computer-Theoretic Framework", Universe 8 1, 40 (2022).

[1156] Kun Wang, Zhixin Song, Xuanqiang Zhao, Zihe Wang, and Xin Wang, "Detecting and quantifying entanglement on near-term quantum devices", npj Quantum Information 8, 52 (2022).

[1157] Hang Jing, Ye Wang, and Yan Li, "Data-driven quantum approximate optimization algorithm for power systems", Communications Engineering 2 1, 12 (2023).

[1158] Tanmay Singal, Filip B. Maciejewski, and Michał Oszmaniec, "Implementation of quantum measurements using classical resources and only a single ancillary qubit", npj Quantum Information 8, 82 (2022).

[1159] Krzysztof Domino, Mátyás Koniorczyk, Krzysztof Krawiec, Konrad Jałowiecki, Sebastian Deffner, and Bartłomiej Gardas, "Quantum Annealing in the NISQ Era: Railway Conflict Management", Entropy 25 2, 191 (2023).

[1160] Hao-Kai Zhang, Chengkai Zhu, Geng Liu, and Xin Wang, "Fundamental limitations on optimization in variational quantum algorithms", arXiv:2205.05056, (2022).

[1161] Carlos Bravo-Prieto, Julien Baglio, Marco Cè, Anthony Francis, Dorota M. Grabowska, and Stefano Carrazza, "Style-based quantum generative adversarial networks for Monte Carlo events", Quantum 6, 777 (2022).

[1162] Tobias Schmale, Moritz Reh, and Martin Gärttner, "Efficient quantum state tomography with convolutional neural networks", npj Quantum Information 8, 115 (2022).

[1163] M. Cerezo, Kunal Sharma, Andrew Arrasmith, and Patrick J. Coles, "Variational quantum state eigensolver", npj Quantum Information 8, 113 (2022).

[1164] Tudor Giurgica-Tiron, Iordanis Kerenidis, Farrokh Labib, Anupam Prakash, and William Zeng, "Low depth algorithms for quantum amplitude estimation", Quantum 6, 745 (2022).

[1165] Yuxuan Du, Tao Huang, Shan You, Min-Hsiu Hsieh, and Dacheng Tao, "Quantum circuit architecture search for variational quantum algorithms", npj Quantum Information 8, 62 (2022).

[1166] E. Vahapoglu, J. P. Slack-Smith, R. C. C. Leon, W. H. Lim, F. E. Hudson, T. Day, J. D. Cifuentes, T. Tanttu, C. H. Yang, A. Saraiva, N. V. Abrosimov, H. -J. Pohl, M. L. W. Thewalt, A. Laucht, A. S. Dzurak, and J. J. Pla, "Coherent control of electron spin qubits in silicon using a global field", npj Quantum Information 8, 126 (2022).

[1167] Zhenning Liu and Alexandru Gheorghiu, "Depth-efficient proofs of quantumness", Quantum 6, 807 (2022).

[1168] Dmitry A. Fedorov, Yuri Alexeev, Stephen K. Gray, and Matthew Otten, "Unitary Selective Coupled-Cluster Method", Quantum 6, 703 (2022).

[1169] Dax Enshan Koh and Sabee Grewal, "Classical Shadows With Noise", Quantum 6, 776 (2022).

[1170] Tyson Jones and Simon C. Benjamin, "Robust quantum compilation and circuit optimisation via energy minimisation", Quantum 6, 628 (2022).

[1171] Zixuan Hu and Sabre Kais, "The unitary dependence theory for characterizing quantum circuits and states", Communications Physics 6 1, 68 (2023).

[1172] Andrey Zhukov and Walter Pogosov, "Quantum error reduction with deep neural network applied at the post-processing stage", Quantum Information Processing 21 3, 93 (2022).

[1173] Minzhao Liu, Junyu Liu, Yuri Alexeev, and Liang Jiang, "Estimating the randomness of quantum circuit ensembles up to 50 qubits", npj Quantum Information 8, 137 (2022).

[1174] Daniel Huerga, "Variational Quantum Simulation of Valence-Bond Solids", Quantum 6, 874 (2022).

[1175] Marco Maronese, Claudio Destri, and Enrico Prati, "Quantum activation functions for quantum neural networks", Quantum Information Processing 21 4, 128 (2022).

[1176] Nishant Jain, Brian Coyle, Elham Kashefi, and Niraj Kumar, "Graph neural network initialisation of quantum approximate optimisation", Quantum 6, 861 (2022).

[1177] Matteo Cherchi, Arijit Bera, Antti Kemppinen, Jaani Nissilä, Kirsi Tappura, Marco Caputo, Lauri Lehtimäki, Janne Lehtinen, Joonas Govenius, Tomi Hassinen, Mika Prunnila, and Timo Aalto, "Supporting quantum technologies with an ultralow-loss silicon photonics platform", Advanced Photonics Nexus 2, 024002 (2023).

[1178] Ramin Ayanzadeh, Narges Alavisamani, Poulami Das, and Moinuddin Qureshi, "FrozenQubits: Boosting Fidelity of QAOA by Skipping Hotspot Nodes", arXiv:2210.17037, (2022).

[1179] Luciano Pereira, Leonardo Zambrano, and Aldo Delgado, "Scalable estimation of pure multi-qubit states", npj Quantum Information 8, 57 (2022).

[1180] Yuki Takeuchi, Yasuhiro Takahashi, Tomoyuki Morimae, and Seiichiro Tani, "Divide-and-conquer verification method for noisy intermediate-scale quantum computation", Quantum 6, 758 (2022).

[1181] Louis Schatzki, Guangkuo Liu, M. Cerezo, and Eric Chitambar, "A Hierarchy of Multipartite Correlations Based on Concentratable Entanglement", arXiv:2209.07607, (2022).

[1182] Yuta Hirasaki, Shunsuke Daimon, Toshinari Itoko, Naoki Kanazawa, and Eiji Saitoh, "Detection of temporal fluctuation in superconducting qubits for quantum error mitigation", Applied Physics Letters 123 18, 184002 (2023).

[1183] Halima Giovanna Ahmad, Caleb Jordan, Roald van den Boogaart, Daan Waardenburg, Christos Zachariadis, Pasquale Mastrovito, Asen Lyubenov Georgiev, Domenico Montemurro, Giovanni Piero Pepe, Marten Arthers, Alessandro Bruno, Francesco Tafuri, Oleg Mukhanov, Marco Arzeo, and Davide Massarotti, "Investigating the Individual Performances of Coupled Superconducting Transmon Qubits", Condensed Matter 8 1, 29 (2023).

[1184] Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, and Dacheng Tao, "Symmetric Pruning in Quantum Neural Networks", arXiv:2208.14057, (2022).

[1185] Bingzhi Zhang, Akira Sone, and Quntao Zhuang, "Quantum computational phase transition in combinatorial problems", npj Quantum Information 8, 87 (2022).

[1186] Wonho Jang, Koji Terashi, Masahiko Saito, Christian W. Bauer, Benjamin Nachman, Yutaro Iiyama, Ryunosuke Okubo, and Ryu Sawada, "Initial-State Dependent Optimization of Controlled Gate Operations with Quantum Computer", Quantum 6, 798 (2022).

[1187] Gabriele Cenedese, Maria Bondani, Dario Rosa, and Giuliano Benenti, "Generation of Pseudo-Random Quantum States on Actual Quantum Processors", Entropy 25 4, 607 (2023).

[1188] Leonardo Ratini, Chiara Capecci, and Leonardo Guidoni, "Optimization strategies in WAHTOR algorithm for quantum computing empirical ansatz: a comparative study", Electronic Structure 5 4, 045006 (2023).

[1189] Karen Wintersperger, Hila Safi, and Wolfgang Mauerer, "QPU-System Co-Design for Quantum HPC Accelerators", arXiv:2208.11449, (2022).

[1190] Alejandro Montanez-Barrera, Dennis Willsch, Alberto Maldonado-Romo, and Kristel Michielsen, "Unbalanced penalization: A new approach to encode inequality constraints of combinatorial problems for quantum optimization algorithms", arXiv:2211.13914, (2022).

[1191] Andrea Matic, Maureen Monnet, Jeanette Miriam Lorenz, Balthasar Schachtner, and Thomas Messerer, "Quantum-classical convolutional neural networks in radiological image classification", arXiv:2204.12390, (2022).

[1192] Basudha Srivastava, Anton Frisk Kockum, and Mats Granath, "The XYZ2 hexagonal stabilizer code", Quantum 6, 698 (2022).

[1193] Kok Chuan Tan, Dhiman Bhowmick, and Pinaki Sengupta, "Sign-problem free quantum stochastic series expansion algorithm on a quantum computer", npj Quantum Information 8, 44 (2022).

[1194] Tailong Xiao, Jingzheng Huang, Hongjing Li, Jianping Fan, and Guihua Zeng, "Intelligent certification for quantum simulators via machine learning", npj Quantum Information 8, 138 (2022).

[1195] Lennart Maximilian Seifert, Jason Chadwick, Andrew Litteken, Frederic T. Chong, and Jonathan M. Baker, "Time-Efficient Qudit Gates through Incremental Pulse Re-seeding", arXiv:2206.14975, (2022).

[1196] Xinyi Chen, Elad Hazan, Tongyang Li, Zhou Lu, Xinzhao Wang, and Rui Yang, "Adaptive Online Learning of Quantum States", arXiv:2206.00220, (2022).

[1197] Daniel T. Chen, Brian Doolittle, Jeffrey M. Larson, Zain H. Saleem, and Eric Chitambar, "Inferring Quantum Network Topology using Local Measurements", arXiv:2212.07987, (2022).

[1198] Hiroshi Ohno, "Boosting for quantum weak learners", Quantum Information Processing 21 6, 199 (2022).

[1199] Robert Klassert, Andreas Baumbach, Mihai A. Petrovici, and Martin Gärttner, "Variational learning of quantum ground states on spiking neuromorphic hardware", iScience 25 8, 104707 (2022).

[1200] D. Messias, C. V. C. Mendes, R. F. Dutra, G. M. A. Almeida, M. L. Lyra, and F. A. B. F. de Moura, "Quantum-State Transfer Through Disordered Hexagonal Lattices", Brazilian Journal of Physics 53 4, 83 (2023).

[1201] Guijiao Du, Chengcheng Zhou, and Leong-Chuan Kwek, "Compression and reduction of N ∗1 states by unitary matrices", Quantum Information Processing 21 2, 80 (2022).

[1202] Lennart Bittel, Jens Watty, and Martin Kliesch, "Fast gradient estimation for variational quantum algorithms", arXiv:2210.06484, (2022).

[1203] Finn Voichick, Liyi Li, Robert Rand, and Michael Hicks, "Qunity: A Unified Language for Quantum and Classical Computing (Extended Version)", arXiv:2204.12384, (2022).

[1204] Poulami Das, Suhas K. Vittal, and Moinuddin Qureshi, "ForeSight: Reducing SWAPs in NISQ Programs via Adaptive Multi-Candidate Evaluations", arXiv:2204.13142, (2022).

[1205] Stavros Efthymiou, Marco Lazzarin, Andrea Pasquale, and Stefano Carrazza, "Quantum simulation with just-in-time compilation", Quantum 6, 814 (2022).

[1206] Li Ding and Lee Spector, "Multi-Objective Evolutionary Architecture Search for Parameterized Quantum Circuits", Entropy 25 1, 93 (2023).

[1207] Gabriele Cenedese, Giuliano Benenti, and Maria Bondani, "Correcting Coherent Errors by Random Operation on Actual Quantum Hardware", Entropy 25 2, 324 (2023).

[1208] Hasan Yetiş and Mehmet Karaköse, "An improved and cost reduced quantum circuit generator approach for image encoding applications", Quantum Information Processing 21 6, 203 (2022).

[1209] Tinggui Zhang, Naihuan Jing, and Shao-Ming Fei, "Quantum separability criteria based on realignment moments", Quantum Information Processing 21 8, 276 (2022).

[1210] Weiyuan Gong, Chenyi Zhang, and Tongyang Li, "Robustness of Quantum Algorithms for Nonconvex Optimization", arXiv:2212.02548, (2022).

[1211] Pengcheng Zhu, Shenggen Zheng, Lihua Wei, Xueyun Cheng, Zhijin Guan, and Shiguang Feng, "The complexity of quantum circuit mapping with fixed parameters", Quantum Information Processing 21 10, 361 (2022).

[1212] Jannes Nys and Giuseppe Carleo, "Variational solutions to fermion-to-qubit mappings in two spatial dimensions", Quantum 6, 833 (2022).

[1213] Bernhard Irsigler and Tobias Grass, "The quantum annealing gap and quench dynamics in the exact cover problem", Quantum 6, 624 (2022).

[1214] Mårten Skogh, Oskar Leinonen, Phalgun Lolur, and Martin Rahm, "Accelerating variational quantum eigensolver convergence using parameter transfer", Electronic Structure 5 3, 035002 (2023).

[1215] Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, and Michael J. Hartmann, "Quantum Policy Gradient Algorithm with Optimized Action Decoding", arXiv:2212.06663, (2022).

[1216] Raoul Heese, Patricia Bickert, and Astrid Elisa Niederle, "Representation of binary classification trees with binary features by quantum circuits", Quantum 6, 676 (2022).

[1217] Casper Gyurik, Chris Cade, and Vedran Dunjko, "Towards quantum advantage via topological data analysis", Quantum 6, 855 (2022).

[1218] Bin-Lin Chen and Dan-Bo Zhang, "Variational Quantum Eigensolver with Mutual Variance-Hamiltonian Optimization", Chinese Physics Letters 40 1, 010303 (2023).

[1219] Richard H. J. Kim, Joong M. Park, Samuel Haeuser, Chuankun Huang, Di Cheng, Thomas Koschny, Jinsu Oh, Cameron Kopas, Hilal Cansizoglu, Kameshwar Yadavalli, Josh Mutus, Lin Zhou, Liang Luo, Matthew J. Kramer, and Jigang Wang, "Visualizing heterogeneous dipole fields by terahertz light coupling in individual nano-junctions", Communications Physics 6 1, 147 (2023).

[1220] Stefano Markidis, "Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies", Entropy 25 4, 694 (2023).

[1221] Enrico Fontana, M. Cerezo, Andrew Arrasmith, Ivan Rungger, and Patrick J. Coles, "Non-trivial symmetries in quantum landscapes and their resilience to quantum noise", Quantum 6, 804 (2022).

[1222] You Zhou, Bo Xiao, Meng-Da Li, Qi Zhao, Zhen-Sheng Yuan, Xiongfeng Ma, and Jian-Wei Pan, "A scheme to create and verify scalable entanglement in optical lattice", npj Quantum Information 8, 99 (2022).

[1223] András Gilyén, Zhao Song, and Ewin Tang, "An improved quantum-inspired algorithm for linear regression", Quantum 6, 754 (2022).

[1224] Simon Martiel and Timothée Goubault de Brugière, "Architecture aware compilation of quantum circuits via lazy synthesis", Quantum 6, 729 (2022).

[1225] Gelo Noel M. Tabia, Kai-Siang Chen, Chung-Yun Hsieh, Yu-Chun Yin, and Yeong-Cherng Liang, "Entanglement transitivity problems", npj Quantum Information 8, 98 (2022).

[1226] Maida Wang, Anqi Huang, Yong Liu, Xuming Yi, Junjie Wu, and Siqi Wang, "A Quantum-Classical Hybrid Solution for Deep Anomaly Detection", Entropy 25 3, 427 (2023).

[1227] Leela Ganesh Chandra Lakkaraju, Srijon Ghosh, Debasis Sadhukan, and Aditi Sen De, "Can a finite range Hamiltonian mimic quantum correlation of a long-range Hamiltonian?", arXiv:2206.09199, (2022).

[1228] Fang Gao, Guojian Wu, Mingyu Yang, Wei Cui, and Feng Shuang, "A hybrid algorithm to solve linear systems of equations with limited qubit resources", Quantum Information Processing 21 3, 111 (2022).

[1229] Nikolaos Koukoulekidis, Hyukjoon Kwon, Hyejung H. Jee, David Jennings, and M. S. Kim, "Faster Born probability estimation via gate merging and frame optimisation", Quantum 6, 838 (2022).

[1230] Amit Kumar Pal, Philipp Schindler, Alexander Erhard, Ángel Rivas, Miguel-Angel Martin-Delgado, Rainer Blatt, Thomas Monz, and Markus Müller, "Relaxation times do not capture logical qubit dynamics", Quantum 6, 632 (2022).

[1231] Le Bin Ho, "Stochastic approach for quantum metrology with generic Hamiltonians", arXiv:2204.01055, (2022).

[1232] David A. Herrera-Martí, "Policy Gradient Approach to Compilation of Variational Quantum Circuits", Quantum 6, 797 (2022).

[1233] Ruho Kondo, Yuki Sato, Satoshi Koide, Seiji Kajita, and Hideki Takamatsu, "Computationally Efficient Quantum Expectation with Extended Bell Measurements", Quantum 6, 688 (2022).

[1234] Ritajit Majumdar, Amit Saha, Amlan Chakrabarti, and Susmita Sur-Kolay, "On Fault Tolerance of Circuits with Intermediate Qutrit-assisted Gate Decomposition", arXiv:2212.07866, (2022).

[1235] Alexander Engelsberger and Thomas Villmann, "Quantum Computing Approaches for Vector Quantization—Current Perspectives and Developments", Entropy 25 3, 540 (2023).

[1236] Carlile Lavor, Franklin Marquezino, Andrês Oliveira, and Renato Portugal, "A quantum approach to the discretizable molecular distance geometry problem", Quantum Information Processing 21 7, 239 (2022).

[1237] Swamit Tannu, Poulami Das, Ramin Ayanzadeh, and Moinuddin Qureshi, "HAMMER: boosting fidelity of noisy Quantum circuits by exploiting Hamming behavior of erroneous outcomes", arXiv:2208.09371, (2022).

[1238] Xiao-Qi Liu, Jing Wang, Ming Li, Shu-Qian Shen, Weiguo Li, and Shao-Ming Fei, "Quantum relaxed row and column iteration methods based on block-encoding", Quantum Information Processing 21 6, 230 (2022).

[1239] Shihao Zhang, Jiacheng Bao, Yifan Sun, Lvzhou Li, Houjun Sun, and Xiangdong Zhang, "An Exact and Practical Classical Strategy for 2D Graph State Sampling", Annalen der Physik 535 2, 2200531 (2023).

[1240] Yuri Yoneda, Moe Shimada, Asaki Yoshida, and Jun-ichi Shirakashi, "Searching for optimal experimental parameters with D-Wave quantum annealer for fabrication of Au atomic junctions", Applied Physics Express 16 5, 057001 (2023).

[1241] Chen-Yi Huang and Shi-Bin Zhang, "A backdoor attack against quantum neural networks with limited information", Chinese Physics B 32 10, 100306 (2023).

[1242] Yang Qian, Zhijin Guan, Shenggen Zheng, and Shiguang Feng, "A Method Based on Timing Weight Priority and Distance Optimization for Quantum Circuit Transformation", Entropy 25 3, 465 (2023).

[1243] Jia-Wei Ying, Jun-Chen Shen, Lan Zhou, Wei Zhong, Ming-Ming Du, and Yu-Bo Sheng, "Preparing a Fast Pauli Decomposition for Variational Quantum Solving Linear Equations", Annalen der Physik 535 11, 2300212 (2023).

[1244] Greg Bowen and Simon Devitt, "Q2Graph: a modelling tool for measurement-based quantum computing", arXiv:2210.00657, (2022).

[1245] Zhi-Quan Shi, Xu-Dan Xie, and Dan-Bo Zhang, "Variational quantum simulation of the quantum critical regime", Chinese Physics B 32 8, 080305 (2023).

[1246] Chenxiao Dong, Zhesen Yang, Jinfeng Zeng, and Jiangping Hu, "Anomalous non-Hermitian dynamical phenomenon on the quantum circuit", Chinese Physics B 32 7, 070305 (2023).

[1247] Lea Kopf and Markus Hiekkamäki, "Endless fun in high dimensions-A quantum card game", American Journal of Physics 91 6, 458 (2023).

[1248] Xiao-Min Hu, Yu Guo, Bi-Heng Liu, Chuan-Feng Li, and Guang-Can Guo, "Progress in quantum teleportation", Nature Reviews Physics 5 6, 339 (2023).

[1249] Simon J. Evered, Dolev Bluvstein, Marcin Kalinowski, Sepehr Ebadi, Tom Manovitz, Hengyun Zhou, Sophie H. Li, Alexandra A. Geim, Tout T. Wang, Nishad Maskara, Harry Levine, Giulia Semeghini, Markus Greiner, Vladan Vuletić, and Mikhail D. Lukin, "High-fidelity parallel entangling gates on a neutral-atom quantum computer", Nature 622 7982, 268 (2023).

[1250] Seyed Ehsan Ghasempouri, Gerhard W. Dueck, and Stijn De Baerdemacker, "Modular Cluster Circuits for the Variational Quantum Eigensolver", Journal of Physical Chemistry A 127 39, 8168 (2023).

[1251] Tobias Haug, Chris N. Self, and M. S. Kim, "Quantum machine learning of large datasets using randomized measurements", Machine Learning: Science and Technology 4 1, 015005 (2023).

[1252] Google Quantum AI, Hoke Collaborators, M. Ippoliti, E. Rosenberg, D. Abanin, R. Acharya, T. I. Andersen, M. Ansmann, F. Arute, K. Arya, A. Asfaw, J. Atalaya, J. C. Bardin, A. Bengtsson, G. Bortoli, A. Bourassa, J. Bovaird, L. Brill, M. Broughton, B. B. Buckley, D. A. Buell, T. Burger, B. Burkett, N. Bushnell, Z. Chen, B. Chiaro, D. Chik, J. Cogan, R. Collins, P. Conner, W. Courtney, A. L. Crook, B. Curtin, A. G. Dau, D. M. Debroy, A. Del Toro Barba, S. Demura, A. Di Paolo, I. K. Drozdov, A. Dunsworth, D. Eppens, C. Erickson, E. Farhi, R. Fatemi, V. S. Ferreira, L. F. Burgos, E. Forati, A. G. Fowler, B. Foxen, W. Giang, C. Gidney, D. Gilboa, M. Giustina, R. Gosula, J. A. Gross, S. Habegger, M. C. Hamilton, M. Hansen, M. P. Harrigan, S. D. Harrington, P. Heu, M. R. Hoffmann, S. Hong, T. Huang, A. Huff, W. J. Huggins, S. V. Isakov, J. Iveland, E. Jeffrey, Z. Jiang, C. Jones, P. Juhas, D. Kafri, K. Kechedzhi, T. Khattar, M. Khezri, M. Kieferová, S. Kim, A. Kitaev, P. V. Klimov, A. R. Klots, A. N. Korotkov, F. Kostritsa, J. M. Kreikebaum, D. Landhuis, P. Laptev, K. -M. Lau, L. Laws, J. Lee, K. W. Lee, Y. D. Lensky, B. J. Lester, A. T. Lill, W. Liu, A. Locharla, O. Martin, J. R. McClean, M. McEwen, K. C. Miao, A. Mieszala, S. Montazeri, A. Morvan, R. Movassagh, W. Mruczkiewicz, M. Neeley, C. Neill, A. Nersisyan, M. Newman, J. H. Ng, A. Nguyen, M. Nguyen, M. Y. Niu, T. E. O'Brien, S. Omonije, A. Opremcak, A. Petukhov, R. Potter, L. P. Pryadko, C. Quintana, C. Rocque, N. C. Rubin, N. Saei, D. Sank, K. Sankaragomathi, K. J. Satzinger, H. F. Schurkus, C. Schuster, M. J. Shearn, A. Shorter, N. Shutty, V. Shvarts, J. Skruzny, W. C. Smith, R. Somma, G. Sterling, D. Strain, M. Szalay, A. Torres, G. Vidal, B. Villalonga, C. V. Heidweiller, T. White, B. W. K. Woo, C. Xing, Z. J. Yao, P. Yeh, J. Yoo, G. Young, A. Zalcman, Y. Zhang, N. Zhu, N. Zobrist, H. Neven, R. Babbush, D. Bacon, S. Boixo, J. Hilton, E. Lucero, A. Megrant, J. Kelly, Y. Chen, V. Smelyanskiy, X. Mi, V. Khemani, and P. Roushan, "Measurement-induced entanglement and teleportation on a noisy quantum processor", Nature 622 7983, 481 (2023).

[1253] Andreas Elben, Steven T. Flammia, Hsin-Yuan Huang, Richard Kueng, John Preskill, Benoît Vermersch, and Peter Zoller, "The randomized measurement toolbox", Nature Reviews Physics 5 1, 9 (2023).

[1254] Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles, and Zoë Holmes, "Out-of-distribution generalization for learning quantum dynamics", Nature Communications 14, 3751 (2023).

[1255] Yanwu Gu, Wei-Feng Zhuang, Xudan Chai, and Dong E. Liu, "Benchmarking universal quantum gates via channel spectrum", Nature Communications 14, 5880 (2023).

[1256] Youngseok Kim, Andrew Eddins, Sajant Anand, Ken Xuan Wei, Ewout van den Berg, Sami Rosenblatt, Hasan Nayfeh, Yantao Wu, Michael Zaletel, Kristan Temme, and Abhinav Kandala, "Evidence for the utility of quantum computing before fault tolerance", Nature 618 7965, 500 (2023).

[1257] Fabio Caceffo and Vincenzo Alba, "Entanglement negativity in a fermionic chain with dissipative defects: exact results", Journal of Statistical Mechanics: Theory and Experiment 2023 2, 023102 (2023).

[1258] Sarah Garcia Jones, Nicholas Materise, Ka Wun Leung, Joel C. Weber, Brian D. Isakov, Xi Chen, Jiangchang Zheng, András Gyenis, Berthold Jaeck, and Corey Rae H. McRae, "Grain size in low loss superconducting Ta thin films on c axis sapphire", Journal of Applied Physics 134 14, 144402 (2023).

[1259] Valentin Gebhart, Raffaele Santagati, Antonio Andrea Gentile, Erik M. Gauger, David Craig, Natalia Ares, Leonardo Banchi, Florian Marquardt, Luca Pezzè, and Cristian Bonato, "Learning quantum systems", Nature Reviews Physics 5 3, 141 (2023).

[1260] Ji Chu, Xiaoyu He, Yuxuan Zhou, Jiahao Yuan, Libo Zhang, Qihao Guo, Yongju Hai, Zhikun Han, Chang-Kang Hu, Wenhui Huang, Hao Jia, Dawei Jiao, Sai Li, Yang Liu, Zhongchu Ni, Lifu Nie, Xianchuang Pan, Jiawei Qiu, Weiwei Wei, Wuerkaixi Nuerbolati, Zusheng Yang, Jiajian Zhang, Zhida Zhang, Wanjing Zou, Yuanzhen Chen, Xiaowei Deng, Xiuhao Deng, Ling Hu, Jian Li, Song Liu, Yao Lu, Jingjing Niu, Dian Tan, Yuan Xu, Tongxing Yan, Youpeng Zhong, Fei Yan, Xiaoming Sun, and Dapeng Yu, "Scalable algorithm simplification using quantum AND logic", Nature Physics 19 1, 126 (2023).

[1261] Pascal Scholl, Adam L. Shaw, Richard Bing-Shiun Tsai, Ran Finkelstein, Joonhee Choi, and Manuel Endres, "Erasure conversion in a high-fidelity Rydberg quantum simulator", Nature 622 7982, 273 (2023).

[1262] P. Dhilipan, K. Srinivasan, and G. Raghavan, "Bipartite entanglement distillation by unilateral and bilateral local filters using polarizing Mach-Zehnder interferometers", Journal of Applied Physics 133 18, 184401 (2023).

[1263] Bin Cheng, Xiu-Hao Deng, Xiu Gu, Yu He, Guangchong Hu, Peihao Huang, Jun Li, Ben-Chuan Lin, Dawei Lu, Yao Lu, Chudan Qiu, Hui Wang, Tao Xin, Shi Yu, Man-Hong Yung, Junkai Zeng, Song Zhang, Youpeng Zhong, Xinhua Peng, Franco Nori, and Dapeng Yu, "Noisy intermediate-scale quantum computers", Frontiers of Physics 18 2, 21308 (2023).

[1264] Pratibha Raghupati Hegde, Gianluca Passarelli, Giovanni Cantele, and Procolo Lucignano, "Deep learning optimal quantum annealing schedules for random Ising models", New Journal of Physics 25 7, 073013 (2023).

[1265] Siheon Park, Daniel K. Park, and June-Koo Kevin Rhee, "Variational quantum approximate support vector machine with inference transfer", Scientific Reports 13, 3288 (2023).

[1266] Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, and Jerry Li, "The complexity of NISQ", Nature Communications 14, 6001 (2023).

[1267] Sofiene Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup, Jonas M. Kübler, Hans J. Briegel, and Vedran Dunjko, "Quantum machine learning beyond kernel methods", Nature Communications 14, 517 (2023).

[1268] Alvin Gonzales, Ruslan Shaydulin, Zain H. Saleem, and Martin Suchara, "Quantum error mitigation by Pauli check sandwiching", Scientific Reports 13, 2122 (2023).

[1269] F. Battistel, C. Chamberland, K. Johar, R. W. J. Overwater, F. Sebastiano, L. Skoric, Y. Ueno, and M. Usman, "Real-time decoding for fault-tolerant quantum computing: progress, challenges and outlook", Nano Futures 7 3, 032003 (2023).

[1270] Zheng-Hang Sun, Yong-Yi Wang, Jian Cui, and Heng Fan, "Improving the performance of quantum approximate optimization for preparing non-trivial quantum states without translational symmetry", New Journal of Physics 25 1, 013015 (2023).

[1271] Wenyang Qian, Robert A. M. Basili, Mary Mehrnoosh Eshaghian-Wilner, Ashfaq Khokhar, Glenn Luecke, and James P. Vary, "Comparative Study of Variations in Quantum Approximate Optimization Algorithms for the Traveling Salesman Problem", Entropy 25 8, 1238 (2023).

[1272] A. Pérez-Obiol, A. M. Romero, J. Menéndez, A. Rios, A. García-Sáez, and B. Juliá-Díaz, "Nuclear shell-model simulation in digital quantum computers", Scientific Reports 13, 12291 (2023).

[1273] Xu Zhou, Daowen Qiu, and Le Luo, "Distributed exact Grover's algorithm", Frontiers of Physics 18 5, 51305 (2023).

[1274] Sean J. Weinberg, Fabio Sanches, Takanori Ide, Kazumitzu Kamiya, and Randall Correll, "Supply chain logistics with quantum and classical annealing algorithms", Scientific Reports 13, 4770 (2023).

[1275] Giacomo Torlai, Christopher J. Wood, Atithi Acharya, Giuseppe Carleo, Juan Carrasquilla, and Leandro Aolita, "Quantum process tomography with unsupervised learning and tensor networks", Nature Communications 14, 2858 (2023).

[1276] Andrea Solfanelli, Guido Giachetti, Michele Campisi, Stefano Ruffo, and Nicolò Defenu, "Quantum heat engine with long-range advantages", New Journal of Physics 25 3, 033030 (2023).

[1277] Yeonghun Lee, "Symmetric Trotterization in digital quantum simulation of quantum spin dynamics", Journal of Korean Physical Society 82 5, 479 (2023).

[1278] Sonaldeep Halder, Chinmay Shrikhande, and Rahul Maitra, "Development of zero-noise extrapolated projective quantum algorithm for accurate evaluation of molecular energetics in noisy quantum devices", Journal of Chemical Physics 159 11, 114115 (2023).

[1279] Xinglan Zhang and Feng Zhang, "Variational Quantum Computation Integer Factorization Algorithm", International Journal of Theoretical Physics 62 11, 245 (2023).

[1280] Junyu Liu, Changchun Zhong, Matthew Otten, Anirban Chandra, Cristian L. Cortes, Chaoyang Ti, Stephen K Gray, and Xu Han, "Quantum Kerr learning", Machine Learning: Science and Technology 4 2, 025003 (2023).

[1281] Kerstin Borras, Su Yeon Chang, Lena Funcke, Michele Grossi, Tobias Hartung, Karl Jansen, Dirk Kruecker, Stefan Kühn, Florian Rehm, Cenk Tüysüz, and Sofia Vallecorsa, "Impact of quantum noise on the training of quantum Generative Adversarial Networks", Journal of Physics Conference Series 2438 1, 012093 (2023).

[1282] Alonso Viladomat Jasso, Ark Modi, Roberto Ferrara, Christian Deppe, Janis Nötzel, Fred Fung, and Maximilian Schädler, "Quantum and Quantum-Inspired Stereographic K Nearest-Neighbour Clustering", Entropy 25 9, 1361 (2023).

[1283] Sebastián V. Romero, Eneko Osaba, Esther Villar-Rodriguez, Izaskun Oregi, and Yue Ban, "Hybrid approach for solving real-world bin packing problem instances using quantum annealers", Scientific Reports 13, 11777 (2023).

[1284] P. Chamorro-Posada and J. C. Garcia-Escartin, "The SWITCH test for discriminating quantum evolutions", Journal of Physics A Mathematical General 56 35, 355301 (2023).

[1285] Cica Gustiani, Richard Meister, and Simon C. Benjamin, "Exploiting subspace constraints and ab initio variational methods for quantum chemistry", New Journal of Physics 25 7, 073019 (2023).

[1286] Senrui Chen, Yunchao Liu, Matthew Otten, Alireza Seif, Bill Fefferman, and Liang Jiang, "The learnability of Pauli noise", Nature Communications 14, 52 (2023).

[1287] Chufan Lyu, Xiaoyu Tang, Junning Li, Xusheng Xu, Man-Hong Yung, and Abolfazl Bayat, "Variational quantum simulation of long-range interacting systems", New Journal of Physics 25 5, 053022 (2023).

[1288] William M. Watkins, Samuel Yen-Chi Chen, and Shinjae Yoo, "Quantum machine learning with differential privacy", Scientific Reports 13, 2453 (2023).

[1289] Connor Powers, Lindsay Bassman Oftelie, Daan Camps, and Wibe A. de Jong, "Exploring finite temperature properties of materials with quantum computers", Scientific Reports 13, 1986 (2023).

[1290] Harshdeep Singh, Sonjoy Majumder, and Sabyashachi Mishra, "Benchmarking of different optimizers in the variational quantum algorithms for applications in quantum chemistry", Journal of Chemical Physics 159 4, 044117 (2023).

[1291] Muhammad Kashif and Saif Al-Kuwari, "The impact of cost function globality and locality in hybrid quantum neural networks on NISQ devices", Machine Learning: Science and Technology 4 1, 015004 (2023).

[1292] Marcin Dukalski, Diego Rovetta, Stan van der Linde, Matthias Möller, Niels Neumann, and Frank Phillipson, "Quantum computer-assisted global optimization in geophysics illustrated with stack-power maximization for refraction residual statics estimation", Geophysics 88 2, V75 (2023).

[1293] Pulak Ranjan Giri, "Quantum Walk Search on a Two-dimensional Grid with Extra Edges", International Journal of Theoretical Physics 62 6, 121 (2023).

[1294] Maximilian Amsler, Peter Deglmann, Matthias Degroote, Michael P. Kaicher, Matthew Kiser, Michael Kühn, Chandan Kumar, Andreas Maier, Georgy Samsonidze, Anna Schroeder, Michael Streif, Davide Vodola, Christopher Wever, and Qutac Material Science Working Group, "Classical and quantum trial wave functions in auxiliary-field quantum Monte Carlo applied to oxygen allotropes and a CuBr<SUB>2</SUB> model system", Journal of Chemical Physics 159 4, 044119 (2023).

[1295] Gunhee Park, Joonsuk Huh, and Daniel K. Park, "Variational quantum one-class classifier", Machine Learning: Science and Technology 4 1, 015006 (2023).

[1296] S. Carrazza, S. Efthymiou, M. Lazzarin, and A. Pasquale, "An open-source modular framework for quantum computing", Journal of Physics Conference Series 2438 1, 012148 (2023).

[1297] Teppei Suzuki, Tsubasa Miyazaki, Toshiki Inaritai, and Takahiro Otsuka, "Quantum AI simulator using a hybrid CPU-FPGA approach", Scientific Reports 13, 7735 (2023).

[1298] Mahsa Karimi, Ali Javadi-Abhari, Christoph Simon, and Roohollah Ghobadi, "The power of one clean qubit in supervised machine learning", Scientific Reports 13, 19975 (2023).

[1299] Vu Tuan Hai and Le Bin Ho, "Universal compilation for quantum state tomography", Scientific Reports 13, 3750 (2023).

[1300] A. I. Gircha, A. S. Boev, K. Avchaciov, P. O. Fedichev, and A. K. Fedorov, "Hybrid quantum-classical machine learning for generative chemistry and drug design", Scientific Reports 13, 8250 (2023).

[1301] Oskar Słowik and Adam Sawicki, "Calculable lower bounds on the efficiency of universal sets of quantum gates", Journal of Physics A Mathematical General 56 11, 115304 (2023).

[1302] Steven Crisostomo, Ryan Pederson, John Kozlowski, Bhupalee Kalita, Antonio C. Cancio, Kiril Datchev, Adam Wasserman, Suhwan Song, and Kieron Burke, "Seven useful questions in density functional theory", Letters in Mathematical Physics 113 2, 42 (2023).

[1303] Prabin Parajuli, Anuvetha Govindarajan, and Lin Tian, "State preparation in a Jaynes-Cummings lattice with quantum optimal control", Scientific Reports 13, 19924 (2023).

[1304] Armin Ahmadkhaniha, Yousef Mafi, Payman Kazemikhah, Hossein Aghababa, Masoud Barati, and Mohammadreza Kolahdouz, "Performance Analysis of the Hardware-Efficient Quantum Search Algorithm", International Journal of Theoretical Physics 62 8, 168 (2023).

[1305] Bao Gia Bach, Akash Kundu, Tamal Acharya, and Aritra Sarkar, "Visualizing Quantum Circuit Probability: Estimating Quantum State Complexity for Quantum Program Synthesis", Entropy 25 5, 763 (2023).

[1306] Ishaan Ganti and Srinivasan S. Iyengar, "Quantum Computing with Dartboards", Journal of Physical Chemistry A 127 37, 7853 (2023).

[1307] Arseny Kovyrshin, Mårten Skogh, Anders Broo, Stefano Mensa, Emre Sahin, Jason Crain, and Ivano Tavernelli, "A quantum computing implementation of nuclearelectronic orbital (NEO) theory: Toward an exact pre-Born-Oppenheimer formulation of molecular quantum systems", Journal of Chemical Physics 158 21, 214119 (2023).

[1308] Jelena Mackeprang, Daniel Bhatti, and Stefanie Barz, "Non-adaptive measurement-based quantum computation on IBM Q", Scientific Reports 13, 15428 (2023).

[1309] S. Hasibul Hassan Chowdhury, Talal Ahmed Chowdhury, Salah Nasri, Omar Ibna Nazim, and Shaikh Saad, "Quantum simulation of quantum mechanical system with spatial noncommutativity", International Journal of Quantum Information 21 6, 2350028-5384 (2023).

[1310] Huan-Yu Liu, Tai-Ping Sun, Yu-Chun Wu, Yong-Jian Han, and Guo-Ping Guo, "Mitigating barren plateaus with transfer-learning-inspired parameter initializations", New Journal of Physics 25 1, 013039 (2023).

[1311] Daisuke Tsukayama, Jun-ichi Shirakashi, and Hiroshi Imai, "CoolMomentum mitigating local minima in variational quantum eigensolvers", Japanese Journal of Applied Physics 62 8, 088003 (2023).

[1312] Pablo Bermejo and Román Orús, "Variational quantum non-orthogonal optimization", Scientific Reports 13, 9840 (2023).

[1313] Yulun Wang and Predrag S. Krstić, "Multistate transition dynamics by strong time-dependent perturbation in NISQ era", Journal of Physics Communications 7 7, 075004 (2023).

[1314] Tailong Xiao, Jingzheng Huang, Hongjing Li, Jianping Fan, and Guihua Zeng, "Quantum generative adversarial imitation learning", New Journal of Physics 25 3, 033034 (2023).

[1315] P. Mironowicz, "Entangled rendezvous: a possible application of Bell non-locality for mobile agents on networks", New Journal of Physics 25 1, 013023 (2023).

[1316] Davinder Singh, Seogjoo J. Jang, and Changbong Hyeon, "Fundamental trade-off between the speed of light and the Fano factor of photon current in three-level lambda systems", Journal of Physics A Mathematical General 56 1, 015001 (2023).

[1317] Sonaldeep Halder, Chayan Patra, Dibyendu Mondal, and Rahul Maitra, "Machine learning aided dimensionality reduction toward a resource efficient projective quantum eigensolver: Formal development and pilot applications", Journal of Chemical Physics 158 24, 244101 (2023).

[1318] Mingyu Cai, Shaoping Xiao, Junchao Li, and Zhen Kan, "Safe reinforcement learning under temporal logic with reward design and quantum action selection", Scientific Reports 13, 1925 (2023).

[1319] Soronzonbold Otgonbaatar, Gottfried Schwarz, Mihai Datcu, and Dieter Kranzlmüller, "Quantum Transfer Learning for Real-World, Small, and High-Dimensional Remotely Sensed Datasets", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 16, 9223 (2023).

[1320] Byeongyong Park and Doyeol Ahn, "Reducing CNOT count in quantum Fourier transform for the linear nearest-neighbor architecture", Scientific Reports 13, 8638 (2023).

[1321] Youyi Huang and Lu Wei, "Entanglement capacity of fermionic Gaussian states", Journal of Physics A Mathematical General 56 43, 435201 (2023).

[1322] Chia-Hsiang Lin and You-Yao Chen, "HyperQUEEN: Hyperspectral Quantum Deep Network For Image Restoration", IEEE Transactions on Geoscience and Remote Sensing 61, 3274355 (2023).

[1323] Amit Saha, Anupam Chattopadhyay, and Amlan Chakrabarti, "Robust Quantum Arithmetic Operations with Intermediate Qutrits in the NISQ-era", International Journal of Theoretical Physics 62 4, 92 (2023).

[1324] Akram Youssry, Gerardo A. Paz-Silva, and Christopher Ferrie, "Noise detection with spectator qubits and quantum feature engineering", New Journal of Physics 25 7, 073004 (2023).

[1325] Yifan Zhou, Peng Zhang, and Fei Feng, "Noisy-Intermediate-Scale Quantum Electromagnetic Transients Program", IEEE Transactions on Power Systems 38 2, 1558 (2023).

[1326] Jessie M. Henderson, Marianna Podzorova, M. Cerezo, John K. Golden, Leonard Gleyzer, Hari S. Viswanathan, and Daniel O'Malley, "Quantum algorithms for geologic fracture networks", Scientific Reports 13, 2906 (2023).

[1327] Ali Shaib, Mohamad Hussein Naim, Mohammed E. Fouda, Rouwaida Kanj, and Fadi Kurdahi, "Efficient noise mitigation technique for quantum computing", Scientific Reports 13, 3912 (2023).

[1328] Xiao-Qi Liu, Yue-Di Qu, Jing Wang, Ming Li, and Shu-Qian Shen, "Solving the Fully Entangled Fraction on Near-Term Quantum Devices", International Journal of Theoretical Physics 62 3, 69 (2023).

[1329] Ning Yang and Jing Guo, "A Quantum-Computing-Based Method for Solving Quantum Confinement Problem in Semiconductor", IEEE Transactions on Electron Devices 70 3, 1366 (2023).

[1330] Yongbin Kim and Anna I. Krylov, "Two Algorithms for Excited-State Quantum Solvers: Theory and Application to EOM-UCCSD", Journal of Physical Chemistry A 127 31, 6552 (2023).

[1331] Takahiro Yoshikura, Seiichiro L. Ten-no, and Takashi Tsuchimochi, "Quantum Inverse Algorithm via Adaptive Variational Quantum Linear Solver: Applications to General Eigenstates", Journal of Physical Chemistry A 127 31, 6577 (2023).

[1332] Weiwen Kong, Yongmei Sun, Yaoxian Gao, and Yuefeng Ji, "Coexistence of quantum key distribution and optical communication with amplifiers over multicore fiber", Nanophotonics 12 11, 47 (2023).

[1333] Zixuan Hu and Sabre Kais, "Characterizing quantum circuits with qubit functional configurations", Scientific Reports 13, 5539 (2023).

[1334] Karol Bartkiewicz, Patrycja Tulewicz, Jan Roik, and Karel Lemr, "Synergic quantum generative machine learning", Scientific Reports 13, 12893 (2023).

[1335] Tomochika Kurita, Mikio Morita, Hirotaka Oshima, and Shintaro Sato, "Pauli String Partitioning Algorithm with the Ising Model for Simultaneous Measurements", Journal of Physical Chemistry A 127 4, 1068 (2023).

[1336] Aleksey N. Bolgar, Shtefan V. Sanduleanu, Aleksandr Strelnikov, and Oleg V. Astafiev, "High Quality Quasinormal Modes of Phononic Crystals for Quantum Acoustodynamics", Journal of Low Temperature Physics 210 5-6, 573 (2023).

[1337] Tilahun M. Getu, Georges Kaddoum, and Mehdi Bennis, "Making Sense of Meaning: A Survey on Metrics for Semantic and Goal-Oriented Communication", IEEE Access 11, 45456 (2023).

[1338] Hinako Asaoka and Kazue Kudo, "Nonnegative/Binary matrix factorization for image classification using quantum annealing", Scientific Reports 13, 16527 (2023).

[1339] Patrick Selig, Niall Murphy, David Redmond, and Simon Caton, "DeepQPrep: Neural Network Augmented Search for Quantum State Preparation", IEEE Access 11, 76388 (2023).

[1340] Davide Costa, Mario Simoni, Gianluca Piccinini, and Mariagrazia Graziano, "Advances in Modeling of Noisy Quantum Computers: Spin Qubits in Semiconductor Quantum Dots", IEEE Access 11, 98875 (2023).

[1341] Büsra Kösoglu-Kind, Robert Loredo, Michele Grossi, Christian Bernecker, Jody M. Burks, and Rüdiger Buchkremer, "A biological sequence comparison algorithm using quantum computers", Scientific Reports 13, 14552 (2023).

[1342] Srinivasan S. Iyengar, Juncheng Harry Zhang, Debadrita Saha, and Timothy C. Ricard, "Graph-|Q⟩⟨C|: A Quantum Algorithm with Reduced Quantum Circuit Depth for Electronic Structure", Journal of Physical Chemistry A 127 44, 9334 (2023).

[1343] HeeBong Yang and Na Young Kim, "Material-Inherent Noise Sources in Quantum Information Architecture", Materials 16 7, 2561 (2023).

[1344] Soichiro Nishio, Yuki Oba, and Yuki Kurashige, "Statistical errors in reduced density matrices sampled from quantum circuit simulation and the impact on multireference perturbation theory", Physical Chemistry Chemical Physics (Incorporating Faraday Transactions) 25 44, 30525 (2023).

[1345] Mostafa Motamedifar, Fatemeh Sadeghi, and Mojtaba Golshani, "Entanglement transmission due to the Dzyaloshinskii-Moriya interaction", Scientific Reports 13, 2932 (2023).

[1346] Stefanie Castillo, "The Electronic Control System of a Trapped-Ion Quantum Processor: A Systematic Literature Review", IEEE Access 11, 65775 (2023).

[1347] Young-Min Jun and In-Chan Choi, "Optimal Multi-Bit Toffoli Gate Synthesis", IEEE Access 11, 27342 (2023).

[1348] Deborah Volpe, Giovanni Amedeo Cirillo, Maurizio Zamboni, and Giovanna Turvani, "Integration of Simulated Quantum Annealing in Parallel Tempering and Population Annealing for Heterogeneous-Profile QUBO Exploration", IEEE Access 11, 30390 (2023).

[1349] M. O. Lisnchenko and S. I. Protasov, "Protein folding quantum circuit quantum circuit for bio material modelling compression", Materials of Electronics Engineering 25 4, 305 (2023).

[1350] Maida Shahid and Muhammad Awais Hassan, "Introducing Quantum Variational Circuit for Efficient Management of Common Pool Resources", IEEE Access 11, 110862 (2023).

[1351] Jehn-Ruey Jiang and Chun-Wei Chu, "Classifying and Benchmarking Quantum Annealing Algorithms Based on Quadratic Unconstrained Binary Optimization for Solving NP-Hard Problems", IEEE Access 11, 104165 (2023).

[1352] Agustin Silva, Omar Gustavo Zabaleta, and Constancio Miguel Arizmendi, "Maximizing Local Rewards on Multi-Agent Quantum Games through Gradient-Based Learning Strategies", Entropy 25 11, 1484 (2023).

[1353] Giuseppe Buonaiuto, Francesco Gargiulo, Giuseppe De Pietro, Massimo Esposito, and Marco Pota, "Best practices for portfolio optimization by quantum computing, experimented on real quantum devices", Scientific Reports 13, 19434 (2023).

[1354] Ju-Young Ryu, Eyuel Elala, and June-Koo Kevin Rhee, "Quantum Graph Neural Network Models for Materials Search", Materials 16 12, 4300 (2023).

[1355] Daniel Oliveira, Elizabeth Auden, and Paolo Rech, "Atmospheric Neutron-Induced Fault Generation and Propagation in Quantum Bits and Quantum Circuits", IEEE Transactions on Nuclear Science 70 4, 345 (2023).

[1356] Juntao Lai, Yi Fan, Qiang Fu, Zhenyu Li, and Jinlong Yang, "Accurate and efficient calculations of Hellmann-Feynman forces for quantum computation", Journal of Chemical Physics 159 11, 114113 (2023).

[1357] LeeAnn M. Sager-Smith, Scott E. Smart, and David A. Mazziotti, "Qubit Condensation for Assessing Efficacy of Molecular Simulation on Quantum Computers", Journal of Physical Chemistry A 127 29, 6032 (2023).

[1358] Filipe F. C. Silva, Pedro M. S. Carvalho, and Luís A. F. M. Ferreira, "A quantum computing approach for minimum loss problems in electrical distribution networks", Scientific Reports 13, 10777 (2023).

[1359] Anthony W. Schlimgen, Yangyang Guo, and Kade Head-Marsden, "Characterizing Excited States of a Copper-Based Molecular Qubit Candidate with Correlated Electronic Structure Methods", Journal of Physical Chemistry A 127 32, 6764 (2023).

[1360] Fariska Zakhralativa Ruskanda, Muhammad Rifat Abiwardani, Infall Syafalni, Harashta Tatimma Larasati, and Rahmat Mulyawan, "Simple Sentiment Analysis Ansatz for Sentiment Classification in Quantum Natural Language Processing", IEEE Access 11, 120612 (2023).

[1361] Ying-Yi Hong, Christine Joy E. Arce, and Tsung-Wei Huang, "A Robust Hybrid Classical and Quantum Model for Short-Term Wind Speed Forecasting", IEEE Access 11, 90811 (2023).

[1362] Ramis Movassagh, "The hardness of random quantum circuits", Nature Physics 19 11, 1719 (2023).

[1363] Md Abrar Jahin, Md Sakib Hossain Shovon, Md. Saiful Islam, Jungpil Shin, M. F. Mridha, and Yuichi Okuyama, "QAmplifyNet: pushing the boundaries of supply chain backorder prediction using interpretable hybrid quantum-classical neural network", Scientific Reports 13, 18246 (2023).

[1364] Yizhi Wang, Shichuan Xue, Yaxuan Wang, Yong Liu, Jiangfang Ding, Weixu Shi, Dongyang Wang, Yingwen Liu, Xiang Fu, Guangyao Huang, Anqi Huang, Mingtang Deng, and Junjie Wu, "Quantum generative adversarial learning in photonics", Optics Letters 48 20, 5197 (2023).

[1365] Hang Lian, Jinchen Xu, Yu Zhu, Zhiqiang Fan, Yi Liu, and Zheng Shan, "Fast reconstruction algorithm based on HMC sampling", Scientific Reports 13, 17773 (2023).

[1366] Yan-Lin Tang, Zhi-Lin Xie, Chun Zhou, Dexiang Zhang, Mu-Lan Xu, Jian Sun, De Sun, Yong-Xiang Xu, Li-Wei Wang, Yan Ma, Yu-Kang Zhao, Mu-Sheng Jiang, Yang Wang, Jian Li, Kaiping Xue, Nenghai Yu, Mei-Sheng Zhao, Dong-Dong Li, Wan-Su Bao, and Shi-Biao Tang, "Field test of quantum key distribution over aerial fiber based on simple and stable modulation", Optics Express 31 16, 26301 (2023).

[1367] Rajni Bala, Sooryansh Asthana, and V. Ravishankar, "Combating errors in quantum communication: an integrated approach", Scientific Reports 13, 2979 (2023).

[1368] Agung Budiyono, Bobby E. Gunara, Bagus E. B. Nurhandoko, and Hermawan K. Dipojono, "General quantum correlation from nonreal values of Kirkwood-Dirac quasiprobability over orthonormal product bases", Journal of Physics A Mathematical General 56 43, 435301 (2023).

[1369] Chenyi Huang and Shibin Zhang, "Enhancing adversarial robustness of quantum neural networks by adding noise layers", New Journal of Physics 25 8, 083019 (2023).

[1370] V. E. Zobov and A. A. Lundin, "Dependence of the Relaxation Rate of Coherent States on the Number of Correlated Spins and the Order of Coherence", Soviet Journal of Experimental and Theoretical Physics Letters 117 12, 932 (2023).

[1371] Toru Fujii, Koshi Komuro, Yosuke Okudaira, and Masayasu Sawada, "Eigenvalue-Invariant Transformation of Ising Problem for Anti-Crossing Mitigation in Quantum Annealing", Journal of the Physical Society of Japan 92 4, 044001 (2023).

[1372] Xingrui Song and Kater Murch, "Parity-Time Symmetric Holographic Principle", Entropy 25 11, 1523 (2023).

[1373] Christian W. Bauer, Zohreh Davoudi, A. Baha Balantekin, Tanmoy Bhattacharya, Marcela Carena, Wibe A. de Jong, Patrick Draper, Aida El-Khadra, Nate Gemelke, Masanori Hanada, Dmitri Kharzeev, Henry Lamm, Ying-Ying Li, Junyu Liu, Mikhail Lukin, Yannick Meurice, Christopher Monroe, Benjamin Nachman, Guido Pagano, John Preskill, Enrico Rinaldi, Alessandro Roggero, David I. Santiago, Martin J. Savage, Irfan Siddiqi, George Siopsis, David Van Zanten, Nathan Wiebe, Yukari Yamauchi, Kübra Yeter-Aydeniz, and Silvia Zorzetti, "Quantum Simulation for High-Energy Physics", PRX Quantum 4 2, 027001 (2023).

[1374] Hongzheng Zhao, Marin Bukov, Markus Heyl, and Roderich Moessner, "Making Trotterization Adaptive and Energy-Self-Correcting for NISQ Devices and Beyond", PRX Quantum 4 3, 030319 (2023).

[1375] Kento Tsubouchi, Yasunari Suzuki, Yuuki Tokunaga, Nobuyuki Yoshioka, and Suguru Endo, "Virtual quantum error detection", Physical Review A 108 4, 042426 (2023).

[1376] Rawad Mezher, Ana Filipa Carvalho, and Shane Mansfield, "Solving graph problems with single photons and linear optics", Physical Review A 108 3, 032405 (2023).

[1377] Maurits S. J. Tepaske and David J. Luitz, "Compressed quantum error mitigation", Physical Review B 107 20, L201114 (2023).

[1378] Jong Yeon Lee, Chao-Ming Jian, and Cenke Xu, "Quantum Criticality Under Decoherence or Weak Measurement", PRX Quantum 4 3, 030317 (2023).

[1379] Nathanan Tantivasadakarn, Ashvin Vishwanath, and Ruben Verresen, "Hierarchy of Topological Order From Finite-Depth Unitaries, Measurement, and Feedforward", PRX Quantum 4 2, 020339 (2023).

[1380] Stephen R. McMillan and Guido Burkard, "Resonant direct CNOT in remote double quantum dot spin qubits", Physical Review B 108 12, 125414 (2023).

[1381] Johannes Jakob Meyer, Marian Mularski, Elies Gil-Fuster, Antonio Anna Mele, Francesco Arzani, Alissa Wilms, and Jens Eisert, "Exploiting Symmetry in Variational Quantum Machine Learning", PRX Quantum 4 1, 010328 (2023).

[1382] Rong-Yang Sun, Tomonori Shirakawa, and Seiji Yunoki, "Parametrized quantum circuit for weight-adjustable quantum loop gas", Physical Review B 107 4, L041109 (2023).

[1383] Shayan Majidy, Utkarsh Agrawal, Sarang Gopalakrishnan, Andrew C. Potter, Romain Vasseur, and Nicole Yunger Halpern, "Critical phase and spin sharpening in SU(2)-symmetric monitored quantum circuits", Physical Review B 108 5, 054307 (2023).

[1384] Xhek Turkeshi, Marco Schirò, and Piotr Sierant, "Measuring nonstabilizerness via multifractal flatness", Physical Review A 108 4, 042408 (2023).

[1385] Hugo Lóio, Andrea De Luca, Jacopo De Nardis, and Xhek Turkeshi, "Purification timescales in monitored fermions", Physical Review B 108 2, L020306 (2023).

[1386] Elmer V. H. Doggen, Yuval Gefen, Igor V. Gornyi, Alexander D. Mirlin, and Dmitry G. Polyakov, "Evolution of many-body systems under ancilla quantum measurements", Physical Review B 107 21, 214203 (2023).

[1387] Alireza Seif, Ze-Pei Cian, Sisi Zhou, Senrui Chen, and Liang Jiang, "Shadow Distillation: Quantum Error Mitigation with Classical Shadows for Near-Term Quantum Processors", PRX Quantum 4 1, 010303 (2023).

[1388] Zhi Li, Shengqi Sang, and Timothy H. Hsieh, "Entanglement dynamics of noisy random circuits", Physical Review B 107 1, 014307 (2023).

[1389] Giacomo De Palma, Milad Marvian, Cambyse Rouzé, and Daniel Stilck França, "Limitations of Variational Quantum Algorithms: A Quantum Optimal Transport Approach", PRX Quantum 4 1, 010309 (2023).

[1390] Philip Taranto, Faraj Bakhshinezhad, Andreas Bluhm, Ralph Silva, Nicolai Friis, Maximilian P. E. Lock, Giuseppe Vitagliano, Felix C. Binder, Tiago Debarba, Emanuel Schwarzhans, Fabien Clivaz, and Marcus Huber, "Landauer Versus Nernst: What is the True Cost of Cooling a Quantum System?", PRX Quantum 4 1, 010332 (2023).

[1391] Tobias Haug and M. S. Kim, "Scalable Measures of Magic Resource for Quantum Computers", PRX Quantum 4 1, 010301 (2023).

[1392] Niklas Mueller, Joseph A. Carolan, Andrew Connelly, Zohreh Davoudi, Eugene F. Dumitrescu, and Kübra Yeter-Aydeniz, "Quantum Computation of Dynamical Quantum Phase Transitions and Entanglement Tomography in a Lattice Gauge Theory", PRX Quantum 4 3, 030323 (2023).

[1393] Veit Langrock, Jan A. Krzywda, Niels Focke, Inga Seidler, Lars R. Schreiber, and Łukasz Cywiński, "Blueprint of a Scalable Spin Qubit Shuttle Device for Coherent Mid-Range Qubit Transfer in Disordered Si/SiGe/SiO<SUB>2</SUB>", PRX Quantum 4 2, 020305 (2023).

[1394] Rong-Yang Sun, Tomonori Shirakawa, and Seiji Yunoki, "Efficient variational quantum circuit structure for correlated topological phases", Physical Review B 108 7, 075127 (2023).

[1395] Yabo Li, Hiroki Sukeno, Aswin Parayil Mana, Hendrik Poulsen Nautrup, and Tzu-Chieh Wei, "Symmetry-enriched topological order from partially gauging symmetry-protected topologically ordered states assisted by measurements", Physical Review B 108 11, 115144 (2023).

[1396] Longcheng Li, Cheng Guo, Qian Li, and Xiaoming Sun, "Fast exact synthesis of two-qubit unitaries using a near-minimum number of T gates", Physical Review A 107 4, 042424 (2023).

[1397] Aditi Misra-Spieldenner, Tim Bode, Peter K. Schuhmacher, Tobias Stollenwerk, Dmitry Bagrets, and Frank K. Wilhelm, "Mean-Field Approximate Optimization Algorithm", PRX Quantum 4 3, 030335 (2023).

[1398] Stefan H. Sack, Raimel A. Medina, Richard Kueng, and Maksym Serbyn, "Recursive greedy initialization of the quantum approximate optimization algorithm with guaranteed improvement", Physical Review A 107 6, 062404 (2023).

[1399] Sajant Anand, Johannes Hauschild, Yuxuan Zhang, Andrew C. Potter, and Michael P. Zaletel, "Holographic Quantum Simulation of Entanglement Renormalization Circuits", PRX Quantum 4 3, 030334 (2023).

[1400] Guido Giachetti, Andrea Solfanelli, Lorenzo Correale, and Nicolò Defenu, "Fractal nature of high-order time crystal phases", Physical Review B 108 14, L140102 (2023).

[1401] F. Orts, E. Filatovas, G. Ortega, J. F. SanJuan-Estrada, and E. M. Garzón, "Improving the number of T gates and their spread in integer multipliers on quantum computing", Physical Review A 107 4, 042621 (2023).

[1402] Han Zheng, Zimu Li, Junyu Liu, Sergii Strelchuk, and Risi Kondor, "Speeding Up Learning Quantum States Through Group Equivariant Convolutional Quantum Ansätze", PRX Quantum 4 2, 020327 (2023).

[1403] I. Joseph, Y. Shi, M. D. Porter, A. R. Castelli, V. I. Geyko, F. R. Graziani, S. B. Libby, and J. L. DuBois, "Quantum computing for fusion energy science applications", Physics of Plasmas 30 1, 010501 (2023).

[1404] Yannick Deller, Sebastian Schmitt, Maciej Lewenstein, Steve Lenk, Marika Federer, Fred Jendrzejewski, Philipp Hauke, and Valentin Kasper, "Quantum approximate optimization algorithm for qudit systems", Physical Review A 107 6, 062410 (2023).

[1405] Luca Gravina, Fabrizio Minganti, and Vincenzo Savona, "Critical Schrödinger Cat Qubit", PRX Quantum 4 2, 020337 (2023).

[1406] Mario Krenn, Jonas Landgraf, Thomas Foesel, and Florian Marquardt, "Artificial intelligence and machine learning for quantum technologies", Physical Review A 107 1, 010101 (2023).

[1407] Soumi Ghosh, Manas Kulkarni, and Sthitadhi Roy, "Eigenvector correlations across the localization transition in non-Hermitian power-law banded random matrices", Physical Review B 108 6, L060201 (2023).

[1408] Alexander O. Sushkov, "Quantum Science and the Search for Axion Dark Matter", PRX Quantum 4 2, 020101 (2023).

[1409] Guilherme Fiusa, Diogo O. Soares-Pinto, and Diego Paiva Pires, "Fidelity-based distance bounds for N -qubit approximate quantum error correction", Physical Review A 107 3, 032422 (2023).

[1410] Takahiro Tsunoda, James D. Teoh, William D. Kalfus, Stijn J. de Graaf, Benjamin J. Chapman, Jacob C. Curtis, Neel Thakur, Steven M. Girvin, and Robert J. Schoelkopf, "Error-Detectable Bosonic Entangling Gates with a Noisy Ancilla", PRX Quantum 4 2, 020354 (2023).

[1411] Marco Cattaneo, Matteo A. C. Rossi, Guillermo García-Pérez, Roberta Zambrini, and Sabrina Maniscalco, "Quantum Simulation of Dissipative Collective Effects on Noisy Quantum Computers", PRX Quantum 4 1, 010324 (2023).

[1412] Anoosha Fayyaz and J. P. Kestner, "Enhanced local addressability of a spin array with local exchange pulses and global microwave driving", Physical Review B 108 8, L081303 (2023).

[1413] Andy C. Y. Li, Alexandru Macridin, Stephen Mrenna, and Panagiotis Spentzouris, "Simulating scalar field theories on quantum computers with limited resources", Physical Review A 107 3, 032603 (2023).

[1414] Hongting Song, Areeya Chantasri, Behnam Tonekaboni, and Howard M. Wiseman, "Optimized mitigation of random-telegraph-noise dephasing by spectator-qubit sensing and control", Physical Review A 107 3, L030601 (2023).

[1415] Steffen Backes, Yuta Murakami, Shiro Sakai, and Ryotaro Arita, "Dynamical mean-field theory for the Hubbard-Holstein model on a quantum device", Physical Review B 107 16, 165155 (2023).

[1416] S. Shin, Y. S. Teo, and H. Jeong, "Exponential data encoding for quantum supervised learning", Physical Review A 107 1, 012422 (2023).

[1417] Bhilahari Jeevanesan, "Quantum scar states in coupled random graph models", Physical Review B 108 7, 075131 (2023).

[1418] Nikita A. Nemkov, Evgeniy O. Kiktenko, and Aleksey K. Fedorov, "Fourier expansion in variational quantum algorithms", Physical Review A 108 3, 032406 (2023).

[1419] Hai Wang, Jue Nan, Tao Zhang, Xingze Qiu, Wenlan Chen, and Xiaopeng Li, "Kernel function based quantum algorithms for finite temperature quantum simulation", Physical Review B 108 8, 085102 (2023).

[1420] B. -W. Li, Y. -K. Wu, Q. -X. Mei, R. Yao, W. -Q. Lian, M. -L. Cai, Y. Wang, B. -X. Qi, L. Yao, L. He, Z. -C. Zhou, and L. -M. Duan, "Probing Critical Behavior of Long-Range Transverse-Field Ising Model through Quantum Kibble-Zurek Mechanism", PRX Quantum 4 1, 010302 (2023).

[1421] Aaron Miller, Zoltán Zimborás, Stefan Knecht, Sabrina Maniscalco, and Guillermo García-Pérez, "Bonsai Algorithm: Grow Your Own Fermion-to-Qubit Mappings", PRX Quantum 4 3, 030314 (2023).

[1422] Marco Fellous-Asiani, Jing Hao Chai, Yvain Thonnart, Hui Khoon Ng, Robert S. Whitney, and Alexia Auffèves, "Optimizing Resource Efficiencies for Scalable Full-Stack Quantum Computers", PRX Quantum 4 4, 040319 (2023).

[1423] Shaojie Yuan, Chuanpu Liu, Jilei Chen, Song Liu, Jin Lan, Haiming Yu, Jiansheng Wu, Fei Yan, Man-Hong Yung, Jiang Xiao, Liang Jiang, and Dapeng Yu, "Spin-wave-based tunable coupler between superconducting flux qubits", Physical Review A 107 1, 012434 (2023).

[1424] Dominik Kiesenhofer, Helene Hainzer, Artem Zhdanov, Philip C. Holz, Matthias Bock, Tuomas Ollikainen, and Christian F. Roos, "Controlling Two-Dimensional Coulomb Crystals of More Than 100 Ions in a Monolithic Radio-Frequency Trap", PRX Quantum 4 2, 020317 (2023).

[1425] Carla Rodríguez, Dario Rosa, and Jan Olle, "Artificial intelligence discovery of a charging protocol in a micromaser quantum battery", Physical Review A 108 4, 042618 (2023).

[1426] Phillip C. Lotshaw, George Siopsis, James Ostrowski, Rebekah Herrman, Rizwanul Alam, Sarah Powers, and Travis S. Humble, "Approximate Boltzmann distributions in quantum approximate optimization", Physical Review A 108 4, 042411 (2023).

[1427] Yong Siah Teo, Seongwook Shin, Hyukgun Kwon, Seok-Hyung Lee, and Hyunseok Jeong, "Virtual distillation with noise dilution", Physical Review A 107 2, 022608 (2023).

[1428] Tom Rindell, Berat Yenilen, Niklas Halonen, Arttu Pönni, Ilkka Tittonen, and Matti Raasakka, "Exploring the optimality of approximate state preparation quantum circuits with a genetic algorithm", Physics Letters A 475, 128860 (2023).

[1429] Jhih-Yuan Kao and Hsi-Sheng Goan, "Existence of Pauli-like stabilizers for every quantum error-correcting code", Physical Review A 108 3, 032414 (2023).

[1430] Nicholas H. Stair, Cristian L. Cortes, Robert M. Parrish, Jeffrey Cohn, and Mario Motta, "Stochastic quantum Krylov protocol with double-factorized Hamiltonians", Physical Review A 107 3, 032414 (2023).

[1431] Eoin Carolan, Barış çakmak, and Steve Campbell, "Robustness of controlled Hamiltonian approaches to unitary quantum gates", Physical Review A 108 2, 022423 (2023).

[1432] Balázs Gulácsi and Guido Burkard, "Signatures of non-Markovianity of a superconducting qubit", Physical Review B 107 17, 174511 (2023).

[1433] Donggyu Kim, Pureum Noh, Hyun-Yong Lee, and Eun-Gook Moon, "Advancing hybrid quantum-classical algorithms via mean operators", Physical Review A 108 1, L010401 (2023).

[1434] D. V. Babukhin, "Harrow-Hassidim-Lloyd algorithm without ancilla postselection", Physical Review A 107 4, 042408 (2023).

[1435] Ryan Shaffer, Lucas Kocia, and Mohan Sarovar, "Surrogate-based optimization for variational quantum algorithms", Physical Review A 107 3, 032415 (2023).

[1436] Raphael Kaubruegger, Athreya Shankar, Denis V. Vasilyev, and Peter Zoller, "Optimal and Variational Multiparameter Quantum Metrology and Vector-Field Sensing", PRX Quantum 4 2, 020333 (2023).

[1437] J. Gidi, B. Candia, A. D. Muñoz-Moller, A. Rojas, L. Pereira, M. Muñoz, L. Zambrano, and A. Delgado, "Stochastic optimization algorithms for quantum applications", Physical Review A 108 3, 032409 (2023).

[1438] Simon Stastny, Hans Peter Büchler, and Nicolai Lang, "Functional completeness of planar Rydberg blockade structures", Physical Review B 108 8, 085138 (2023).

[1439] David Headley and Frank K. Wilhelm, "Problem-size-independent angles for a Grover-driven quantum approximate optimization algorithm", Physical Review A 107 1, 012412 (2023).

[1440] Junyu Liu, Connor T. Hann, and Liang Jiang, "Data centers with quantum random access memory and quantum networks", Physical Review A 108 3, 032610 (2023).

[1441] Sowrabh Sudevan, Daniel Azses, Emanuele G. Dalla Torre, Eran Sela, and Sourin Das, "Multipartite entanglement and quantum error identification in D -dimensional cluster states", Physical Review A 108 2, 022426 (2023).

[1442] Vaibhav Sharma, Chao-Ming Jian, and Erich J. Mueller, "Subsystem symmetry, spin-glass order, and criticality from random measurements in a two-dimensional Bacon-Shor circuit", Physical Review B 108 2, 024205 (2023).

[1443] Yanjun Ji, Kathrin F. Koenig, and Ilia Polian, "Optimizing quantum algorithms on bipotent architectures", Physical Review A 108 2, 022610 (2023).

[1444] Shihao Zhang, Junda Wu, and Lvzhou Li, "Characterization, synthesis, and optimization of quantum circuits over multiple-control Z -rotation gates: A systematic study", Physical Review A 108 2, 022603 (2023).

[1445] Anita Weidinger, Glen Bigan Mbeng, and Wolfgang Lechner, "Error mitigation for quantum approximate optimization", Physical Review A 108 3, 032408 (2023).

[1446] Hai-Chau Nguyen, "Information-theoretic approach to readout-error mitigation for quantum computers", Physical Review A 108 5, 052419 (2023).

[1447] Berta Casas and Alba Cervera-Lierta, "Multidimensional Fourier series with quantum circuits", Physical Review A 107 6, 062612 (2023).

[1448] Joris Kattemölle and Guido Burkard, "Ability of error correlations to improve the performance of variational quantum algorithms", Physical Review A 107 4, 042426 (2023).

[1449] G. Xu, Y. B. Guo, X. Li, K. Wang, Z. Fan, Z. S. Zhou, H. J. Liao, and T. Xiang, "Concurrent quantum eigensolver for multiple low-energy eigenstates", Physical Review A 107 5, 052423 (2023).

[1450] Xavier Bonet-Monroig, Hao Wang, Diederick Vermetten, Bruno Senjean, Charles Moussa, Thomas Bäck, Vedran Dunjko, and Thomas E. O'Brien, "Performance comparison of optimization methods on variational quantum algorithms", Physical Review A 107 3, 032407 (2023).

[1451] Fabio Zoratti, Giacomo De Palma, Bobak Kiani, Quynh T. Nguyen, Milad Marvian, Seth Lloyd, and Vittorio Giovannetti, "Improving the speed of variational quantum algorithms for quantum error correction", Physical Review A 108 2, 022611 (2023).

[1452] L. A. Ostrowski, T. J. Baker, S. N. Saadatmand, and H. M. Wiseman, "Optimized laser models with Heisenberg-limited coherence and sub-Poissonian beam photon statistics", Physical Review A 107 5, 053702 (2023).

[1453] Agung Budiyono, "Operational interpretation and estimation of quantum trace-norm asymmetry based on weak-value measurement and some bounds", Physical Review A 108 1, 012431 (2023).

[1454] Troy J. Sewell, Ning Bao, and Stephen P. Jordan, "Variational quantum simulation of the critical Ising model with symmetry averaging", Physical Review A 107 4, 042620 (2023).

[1455] Behnam Tonekaboni, Areeya Chantasri, Hongting Song, Yanan Liu, and Howard M. Wiseman, "Greedy versus map-based optimized adaptive algorithms for random-telegraph-noise mitigation by spectator qubits", Physical Review A 107 3, 032401 (2023).

[1456] J. Knörzer, D. Malz, and J. I. Cirac, "Cross-platform verification in quantum networks", Physical Review A 107 6, 062424 (2023).

[1457] Paul Méhaignerie, Clément Sayrin, Jean-Michel Raimond, Michel Brune, and Guillaume Roux, "Spin-motion coupling in a circular-Rydberg-state quantum simulator: Case of two atoms", Physical Review A 107 6, 063106 (2023).

[1458] Jannis Ruh, Regina Finsterhoelzl, and Guido Burkard, "Digital quantum simulation of the BCS model with a central-spin-like quantum processor", Physical Review A 107 6, 062604 (2023).

[1459] Evan Peters, Andy C. Y. Li, and Gabriel N. Perdue, "Perturbative readout-error mitigation for near-term quantum computers", Physical Review A 107 6, 062426 (2023).

[1460] Irtaza Khalid, Carrie A. Weidner, Edmond A. Jonckheere, Sophie G. Shermer, and Frank C. Langbein, "Statistically characterizing robustness and fidelity of quantum controls and quantum control algorithms", Physical Review A 107 3, 032606 (2023).

[1461] Y. S. Teo, "Optimized numerical gradient and Hessian estimation for variational quantum algorithms", Physical Review A 107 4, 042421 (2023).

[1462] Saverio Monaco, Oriel Kiss, Antonio Mandarino, Sofia Vallecorsa, and Michele Grossi, "Quantum phase detection generalization from marginal quantum neural network models", Physical Review B 107 8, L081105 (2023).

[1463] Jonas Koppe and Mark-Oliver Wolf, "Amplitude-based implementation of the unit step function on a quantum computer", Physical Review A 107 2, 022606 (2023).

[1464] N. M. Guseynov, A. A. Zhukov, W. V. Pogosov, and A. V. Lebedev, "Depth analysis of variational quantum algorithms for the heat equation", Physical Review A 107 5, 052422 (2023).

[1465] Ido Kaplan, Muhammad Erew, Yonatan Piasetzky, Moshe Goldstein, Yaron Oz, and Haim Suchowski, "Segmented composite design of robust single-qubit quantum gates", Physical Review A 108 4, 042401 (2023).

[1466] Pierpaolo Fontana, Joao C. Pinto Barros, and Andrea Trombettoni, "Quantum simulator of link models using spinor dipolar ultracold atoms", Physical Review A 107 4, 043312 (2023).

[1467] Yongdan Yang, Zongkang Zhang, Xiaosi Xu, Bing-Nan Lu, and Ying Li, "Quantum algorithms for optimal effective theory of many-body systems", Physical Review A 108 3, 032403 (2023).

[1468] P. Renault, J. Nokkala, G. Roeland, N. Y. Joly, R. Zambrini, S. Maniscalco, J. Piilo, N. Treps, and V. Parigi, "Experimental Optical Simulator of Reconfigurable and Complex Quantum Environment", PRX Quantum 4 4, 040310 (2023).

[1469] Phillip C. Lotshaw, Kevin D. Battles, Bryan Gard, Gilles Buchs, Travis S. Humble, and Creston D. Herold, "Modeling noise in global Mølmer-Sørensen interactions applied to quantum approximate optimization", Physical Review A 107 6, 062406 (2023).

[1470] Yu-Qin Chen, Shi-Xin Zhang, Chang-Yu Hsieh, and Shengyu Zhang, "Non-Hermitian ground-state-searching algorithm enhanced by a variational toolbox", Physical Review A 107 4, 042418 (2023).

[1471] Zhao-Ming Wang, Feng-Hua Ren, Mark S. Byrd, and Lian-Ao Wu, "Hybrid noise protection of logical qubits for universal quantum computation", Physical Review A 108 2, 022607 (2023).

[1472] Hongfeng Liu, Xiaodong Yang, Kai Tang, Liangyu Che, Xinfang Nie, Tao Xin, Jun Li, and Dawei Lu, "Practical quantum simulation of small-scale non-Hermitian dynamics", Physical Review A 107 6, 062608 (2023).

[1473] Daniel Azses, Maxime Dupont, Bram Evert, Matthew J. Reagor, and Emanuele G. Dalla Torre, "Navigating the noise-depth tradeoff in adiabatic quantum circuits", Physical Review B 107 12, 125127 (2023).

[1474] Stefano Polla, Gian-Luca R. Anselmetti, and Thomas E. O'Brien, "Optimizing the information extracted by a single qubit measurement", Physical Review A 108 1, 012403 (2023).

[1475] Xiaodie Lin, Zhenyu Chen, and Zhaohui Wei, "Quantifying quantum entanglement via a hybrid quantum-classical machine learning framework", Physical Review A 107 6, 062409 (2023).

[1476] Riccardo Molteni, Claudio Destri, and Enrico Prati, "Optimization of the memory reset rate of a quantum echo-state network for time sequential tasks", Physics Letters A 465, 128713 (2023).

[1477] Jiaan Qi, Xiansong Xu, Dario Poletti, and Hui Khoon Ng, "Efficacy of noisy dynamical decoupling", Physical Review A 107 3, 032615 (2023).

[1478] Sayan Roy, Christian Otto, Raphaël Menu, and Giovanna Morigi, "Rise and fall of entanglement between two qubits in a non-Markovian bath", Physical Review A 108 3, 032205 (2023).

[1479] Stefano Marano and Moe Z. Win, "Distributing quantum states with finite lifetime", Physical Review A 107 5, 052413 (2023).

[1480] Yuchen Luo and Xiaopeng Li, "Effect of quantum statistics on computational power of atomic quantum annealers", Physical Review A 107 1, 012608 (2023).

[1481] Xi-Dan Hu, Tong Luo, and Dan-Bo Zhang, "Quantum algorithm for evaluating operator size with Bell measurements", Physical Review A 107 2, 022407 (2023).

[1482] Philipp M. Mutter and Guido Burkard, "Theory of qubit noise characterization using the long-time cavity transmission", Physical Review A 107 2, 022601 (2023).

[1483] Zhen-Peng Xu, "Characterizing arbitrary quantum networks in the noisy intermediate-scale quantum era", Physical Review A 108 4, L040201 (2023).

[1484] Ufuk Korkmaz and Deniz Türkpençe, "Quantum collisional classifier driven by information reservoirs", Physical Review A 107 1, 012432 (2023).

[1485] Sheikh Parvez Mandal, Ahana Ghoshal, Chirag Srivastava, and Ujjwal Sen, "Invariance of success probability in Grover's quantum search under local noise with memory", Physical Review A 107 2, 022427 (2023).

[1486] Pietro Torta, Glen B. Mbeng, Carlo Baldassi, Riccardo Zecchina, and Giuseppe E. Santoro, "Quantum approximate optimization algorithm applied to the binary perceptron", Physical Review B 107 9, 094202 (2023).

[1487] Jin-Min Liang, Qiao-Qiao Lv, Zhi-Xi Wang, and Shao-Ming Fei, "Unified multivariate trace estimation and quantum error mitigation", Physical Review A 107 1, 012606 (2023).

[1488] Xiaoyang Wang, Xu Feng, Tobias Hartung, Karl Jansen, and Paolo Stornati, "Critical behavior of the Ising model by preparing the thermal state on a quantum computer", Physical Review A 108 2, 022612 (2023).

[1489] Lane G. Gunderman, "Transforming collections of Pauli operators into equivalent collections of Pauli operators over minimal registers", Physical Review A 107 6, 062416 (2023).

[1490] Xin-Yu Xu, Qing Zhou, Shuai Zhao, Shu-Ming Hu, Li Li, Nai-Le Liu, and Kai Chen, "General framework for genuine multipartite entanglement detection", Physical Review A 107 5, 052405 (2023).

[1491] Philipp M. Mutter and Guido Burkard, "Transmission-based noise spectroscopy for quadratic qubit-resonator interactions", Physical Review A 107 5, 052603 (2023).

[1492] Fangxuan Liu and L. -M. Duan, "Computational characteristics of the random-field Ising model with long-range interaction", Physical Review A 108 1, 012415 (2023).

[1493] Hideaki Kawaguchi, "Application of quantum computing to a linear non-Gaussian acyclic model for novel medical knowledge discovery", PLoS ONE 18 4, e0283933 (2023).

[1494] Hui-Min Li, Zhi-Xi Wang, and Shao-Ming Fei, "Variational quantum algorithms for Poisson equations based on the decomposition of sparse Hamiltonians", Physical Review A 108 3, 032418 (2023).

[1495] G. M. A. Almeida, R. F. Dutra, A. M. C. Souza, M. L. Lyra, and F. A. B. F. de Moura, "Flat-band quantum communication induced by disorder", Physical Review A 108 2, 022407 (2023).

[1496] Teiko Heinosaari, Daniel Reitzner, and Alessandro Toigo, "Anticipative measurements in hybrid quantum-classical computation", Physical Review A 107 3, 032612 (2023).

[1497] Mohamad Niknam, Robert N. Schwartz, and Louis-S. Bouchard, "Quantum gates between mesoscopic spin ensembles", Physical Review A 107 3, 032601 (2023).

[1498] Kai Klocke and Michael Buchhold, "Majorana Loop Models for Measurement-Only Quantum Circuits", Physical Review X 13 4, 041028 (2023).

[1499] Shuo Liu, Shi-Xin Zhang, Chang-Yu Hsieh, Shengyu Zhang, and Hong Yao, "Discrete Time Crystal Enabled by Stark Many-Body Localization", Physical Review Letters 130 12, 120403 (2023).

[1500] Zhou Yang, Dan Mao, and Chao-Ming Jian, "Entanglement in a one-dimensional critical state after measurements", Physical Review B 108 16, 165120 (2023).

[1501] Arno Bargerbos, Lukas Johannes Splitthoff, Marta Pita-Vidal, Jaap J. Wesdorp, Yu Liu, Peter Krogstrup, Leo P. Kouwenhoven, Christian Kraglund Andersen, and Lukas Grünhaupt, "Mitigation of Quasiparticle Loss in Superconducting Qubits by Phonon Scattering", Physical Review Applied 19 2, 024014 (2023).

[1502] Seyed Shakib Vedaie, Eduardo J. Páez, Nhung H. Nguyen, Norbert M. Linke, and Barry C. Sanders, "Bespoke pulse design for robust rapid two-qubit gates with trapped ions", Physical Review Research 5 2, 023098 (2023).

[1503] Shuo Liu, Shi-Xin Zhang, Shao-Kai Jian, and Hong Yao, "Training variational quantum algorithms with random gate activation", Physical Review Research 5 3, L032040 (2023).

[1504] Daniel McNulty, Filip B. Maciejewski, and Michał Oszmaniec, "Estimating Quantum Hamiltonians via Joint Measurements of Noisy Noncommuting Observables", Physical Review Letters 130 10, 100801 (2023).

[1505] Yanwu Gu, Yunheng Ma, Nicolò Forcellini, and Dong E. Liu, "Noise-Resilient Phase Estimation with Randomized Compiling", Physical Review Letters 130 25, 250601 (2023).

[1506] Refik Mansuroglu, Timo Eckstein, Ludwig Nützel, Samuel A. Wilkinson, and Michael J. Hartmann, "Variational Hamiltonian simulation for translational invariant systems via classical pre-processing", Quantum Science and Technology 8 2, 025006 (2023).

[1507] Piotr Sierant and Xhek Turkeshi, "Controlling Entanglement at Absorbing State Phase Transitions in Random Circuits", Physical Review Letters 130 12, 120402 (2023).

[1508] Y. F. Wang, W. P. Gao, K. Liu, B. Ji, Z. Wang, and Z. R. Lin, "Single-Flux-Quantum-Activated Controlled-Z Gate for Transmon Qubits", Physical Review Applied 19 4, 044031 (2023).

[1509] Nathanan Tantivasadakarn, Ruben Verresen, and Ashvin Vishwanath, "Shortest Route to Non-Abelian Topological Order on a Quantum Processor", Physical Review Letters 131 6, 060405 (2023).

[1510] Roland C. Farrell, Ivan A. Chernyshev, Sarah J. M. Powell, Nikita A. Zemlevskiy, Marc Illa, and Martin J. Savage, "Preparations for quantum simulations of quantum chromodynamics in 1 +1 dimensions. I. Axial gauge", Physical Review D 107 5, 054512 (2023).

[1511] Zhimin He, Xuefen Zhang, Chuangtao Chen, Zhiming Huang, Yan Zhou, and Haozhen Situ, "A GNN-based predictor for quantum architecture search", Quantum Information Processing 22 2, 128 (2023).

[1512] Elena Peña Tapia, Giannicola Scarpa, and Alejandro Pozas-Kerstjens, "A didactic approach to quantum machine learning with a single qubit", Physica Scripta 98 5, 054001 (2023).

[1513] Andy C. Y. Li, M. Sohaib Alam, Thomas Iadecola, Ammar Jahin, Joshua Job, Doga Murat Kurkcuoglu, Richard Li, Peter P. Orth, A. Barış Özgüler, Gabriel N. Perdue, and Norm M. Tubman, "Benchmarking variational quantum eigensolvers for the square-octagon-lattice Kitaev model", Physical Review Research 5 3, 033071 (2023).

[1514] Max McGinley and Michele Fava, "Shadow Tomography from Emergent State Designs in Analog Quantum Simulators", Physical Review Letters 131 16, 160601 (2023).

[1515] Zeqiao Zhou, Yuxuan Du, Xinmei Tian, and Dacheng Tao, "QAOA-in-QAOA: Solving Large-Scale MaxCut Problems on Small Quantum Machines", Physical Review Applied 19 2, 024027 (2023).

[1516] Josu Etxezarreta Martinez, Patricio Fuentes, Antonio deMarti iOlius, Javier Garcia-Frias, Javier Rodríguez Fonollosa, and Pedro M. Crespo, "Multiqubit time-varying quantum channels for NISQ-era superconducting quantum processors", Physical Review Research 5 3, 033055 (2023).

[1517] Yun-Hao Shi, Yu Liu, Yu-Ran Zhang, Zhongcheng Xiang, Kaixuan Huang, Tao Liu, Yong-Yi Wang, Jia-Chi Zhang, Cheng-Lin Deng, Gui-Han Liang, Zheng-Yang Mei, Hao Li, Tian-Ming Li, Wei-Guo Ma, Hao-Tian Liu, Chi-Tong Chen, Tong Liu, Ye Tian, Xiaohui Song, S. P. Zhao, Kai Xu, Dongning Zheng, Franco Nori, and Heng Fan, "Quantum Simulation of Topological Zero Modes on a 41-Qubit Superconducting Processor", Physical Review Letters 131 8, 080401 (2023).

[1518] Torsten V. Zache, Daniel González-Cuadra, and Peter Zoller, "Quantum and Classical Spin-Network Algorithms for q -Deformed Kogut-Susskind Gauge Theories", Physical Review Letters 131 17, 171902 (2023).

[1519] Qiushi Liu, Zihao Hu, Haidong Yuan, and Yuxiang Yang, "Optimal Strategies of Quantum Metrology with a Strict Hierarchy", Physical Review Letters 130 7, 070803 (2023).

[1520] Jian-Hao Zhang, Ke Ding, Shuo Yang, and Zhen Bi, "Fractonic higher-order topological phases in open quantum systems", Physical Review B 108 15, 155123 (2023).

[1521] Guglielmo Lami and Mario Collura, "Nonstabilizerness via Perfect Pauli Sampling of Matrix Product States", Physical Review Letters 131 18, 180401 (2023).

[1522] Xi Wu, Qingyi Li, Zhiqiang Li, Donghan Yang, Hui Yang, Wenjie Pan, Marek Perkowski, and Xiaoyu Song, "Circuit optimization of Grover quantum search algorithm", Quantum Information Processing 22 1, 69 (2023).

[1523] Shraddha Mishra and Chi-Yi Tsai, "QSurfNet: a hybrid quantum convolutional neural network for surface defect recognition", Quantum Information Processing 22 5, 179 (2023).

[1524] Erik Lötstedt, Lidong Wang, Ryuhei Yoshida, Youyuan Zhang, and Kaoru Yamanouchi, "Error-mitigated quantum computing of Heisenberg spin chain dynamics", Physica Scripta 98 3, 035111 (2023).

[1525] Siwei Huang, Yan Chang, Yusheng Lin, and Shibin Zhang, "Hybrid quantum-classical convolutional neural networks with privacy quantum computing", Quantum Science and Technology 8 2, 025015 (2023).

[1526] Xuexin Xu and M. Ansari, "Parasitic-Free Gate: An Error-Protected Cross-Resonance Switch in Weakly Tunable Architectures", Physical Review Applied 19 2, 024057 (2023).

[1527] Pablo Díez-Valle, Jorge Luis-Hita, Senaida Hernández-Santana, Fernando Martínez-García, Álvaro Díaz-Fernández, Eva Andrés, Juan José García-Ripoll, Escolástico Sánchez-Martínez, and Diego Porras, "Multiobjective variational quantum optimization for constrained problems: an application to cash handling", Quantum Science and Technology 8 4, 045009 (2023).

[1528] Bibek Pokharel and Daniel A. Lidar, "Demonstration of Algorithmic Quantum Speedup", Physical Review Letters 130 21, 210602 (2023).

[1529] Zi-Jian Zhang, Jinzhao Sun, Xiao Yuan, and Man-Hong Yung, "Low-Depth Hamiltonian Simulation by an Adaptive Product Formula", Physical Review Letters 130 4, 040601 (2023).

[1530] Bruno Murta, Pedro M. Q. Cruz, and J. Fernández-Rossier, "Preparing valence-bond-solid states on noisy intermediate-scale quantum computers", Physical Review Research 5 1, 013190 (2023).

[1531] Daniel Jaschke and Simone Montangero, "Is quantum computing green? An estimate for an energy-efficiency quantum advantage", Quantum Science and Technology 8 2, 025001 (2023).

[1532] Tanay Roy, Ziqian Li, Eliot Kapit, and DavidI. Schuster, "Two-Qutrit Quantum Algorithms on a Programmable Superconducting Processor", Physical Review Applied 19 6, 064024 (2023).

[1533] Hasan Yetiş and Mehmet Karaköse, "Variational quantum circuits for convolution and window-based image processing applications", Quantum Science and Technology 8 4, 045004 (2023).

[1534] Pablo Martinez-Azcona, Aritra Kundu, Adolfo del Campo, and Aurélia Chenu, "Stochastic Operator Variance: An Observable to Diagnose Noise and Scrambling", Physical Review Letters 131 16, 160202 (2023).

[1535] Stanisław Kurdziałek, Wojciech Górecki, Francesco Albarelli, and Rafał Demkowicz-Dobrzański, "Using Adaptiveness and Causal Superpositions Against Noise in Quantum Metrology", Physical Review Letters 131 9, 090801 (2023).

[1536] Armin Khamoshi, Guo P. Chen, Francesco A. Evangelista, and Gustavo E. Scuseria, "AGP-based unitary coupled cluster theory for quantum computers", Quantum Science and Technology 8 1, 015006 (2023).

[1537] Marika Svensson, Martin Andersson, Mattias Grönkvist, Pontus Vikstâl, Devdatt Dubhashi, Giulia Ferrini, and Göran Johansson, "Hybrid Quantum-Classical Heuristic to Solve Large-Scale Integer Linear Programs", Physical Review Applied 20 3, 034062 (2023).

[1538] Yu-Hao Deng, Si-Qiu Gong, Yi-Chao Gu, Zhi-Jiong Zhang, Hua-Liang Liu, Hao Su, Hao-Yang Tang, Jia-Min Xu, Meng-Hao Jia, Ming-Cheng Chen, Han-Sen Zhong, Hui Wang, Jiarong Yan, Yi Hu, Jia Huang, Wei-Jun Zhang, Hao Li, Xiao Jiang, Lixing You, Zhen Wang, Li Li, Nai-Le Liu, Chao-Yang Lu, and Jian-Wei Pan, "Solving Graph Problems Using Gaussian Boson Sampling", Physical Review Letters 130 19, 190601 (2023).

[1539] Shota Kanasugi, Shoichiro Tsutsui, Yuya O. Nakagawa, Kazunori Maruyama, Hirotaka Oshima, and Shintaro Sato, "Computation of Green's function by local variational quantum compilation", Physical Review Research 5 3, 033070 (2023).

[1540] Kosuke Ito, Wataru Mizukami, and Keisuke Fujii, "Universal noise-precision relations in variational quantum algorithms", Physical Review Research 5 2, 023025 (2023).

[1541] Simone Cantori, David Vitali, and Sebastiano Pilati, "Supervised learning of random quantum circuits via scalable neural networks", Quantum Science and Technology 8 2, 025022 (2023).

[1542] Zhong-Xia Shang, Ming-Cheng Chen, Xiao Yuan, Chao-Yang Lu, and Jian-Wei Pan, "Schrödinger-Heisenberg Variational Quantum Algorithms", Physical Review Letters 131 6, 060406 (2023).

[1543] Jonas Richter, Oliver Lunt, and Arijeet Pal, "Transport and entanglement growth in long-range random Clifford circuits", Physical Review Research 5 1, L012031 (2023).

[1544] Martin Rymarz and David P. DiVincenzo, "Consistent Quantization of Nearly Singular Superconducting Circuits", Physical Review X 13 2, 021017 (2023).

[1545] Manpreet Singh Jattana, Fengping Jin, Hans De Raedt, and Kristel Michielsen, "Improved Variational Quantum Eigensolver Via Quasidynamical Evolution", Physical Review Applied 19 2, 024047 (2023).

[1546] Marvin Bechtold, Johanna Barzen, Frank Leymann, Alexander Mandl, Julian Obst, Felix Truger, and Benjamin Weder, "Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices", Quantum Science and Technology 8 4, 045022 (2023).

[1547] Chong Ying, Bin Cheng, Youwei Zhao, He-Liang Huang, Yu-Ning Zhang, Ming Gong, Yulin Wu, Shiyu Wang, Futian Liang, Jin Lin, Yu Xu, Hui Deng, Hao Rong, Cheng-Zhi Peng, Man-Hong Yung, Xiaobo Zhu, and Jian-Wei Pan, "Experimental Simulation of Larger Quantum Circuits with Fewer Superconducting Qubits", Physical Review Letters 130 11, 110601 (2023).

[1548] Hiroshi Ohno, "Quantum Bayesian inference for parameter estimation using quantum generative model", Quantum Information Processing 22 1, 52 (2023).

[1549] Pei Liu, Ruixia Wang, Jing-Ning Zhang, Yingshan Zhang, Xiaoxia Cai, Huikai Xu, Zhiyuan Li, Jiaxiu Han, Xuegang Li, Guangming Xue, Weiyang Liu, Li You, Yirong Jin, and Haifeng Yu, "Performing SU (d ) Operations and Rudimentary Algorithms in a Superconducting Transmon Qudit for d =3 and d =4", Physical Review X 13 2, 021028 (2023).

[1550] Kevin J. Sung, Marko J. Rančić, Olivia T. Lanes, and Nicholas T. Bronn, "Simulating Majorana zero modes on a noisy quantum processor", Quantum Science and Technology 8 2, 025010 (2023).

[1551] Liyun Zhang, Zhao Wang, Yucheng Wang, Junhua Zhang, Zhigang Wu, Jianwen Jie, and Yao Lu, "Quantum synchronization of a single trapped-ion qubit", Physical Review Research 5 3, 033209 (2023).

[1552] C. Tabares, A. Muñoz de las Heras, L. Tagliacozzo, D. Porras, and A. González-Tudela, "Variational Quantum Simulators Based on Waveguide QED", Physical Review Letters 131 7, 073602 (2023).

[1553] Yutaro Enomoto, Keitaro Anai, Kenta Udagawa, and Shuntaro Takeda, "Continuous-variable quantum approximate optimization on a programmable photonic quantum processor", Physical Review Research 5 4, 043005 (2023).

[1554] Kaifeng Bu, Dax Enshan Koh, Lu Li, Qingxian Luo, and Yaobo Zhang, "Effects of quantum resources and noise on the statistical complexity of quantum circuits", Quantum Science and Technology 8 2, 025013 (2023).

[1555] Tian-Yu Yang, Yi-Xin Shen, Zhou-Kai Cao, and Xiang-Bin Wang, "Post-selection in noisy Gaussian boson sampling: part is better than whole", Quantum Science and Technology 8 4, 045020 (2023).

[1556] Alan Morningstar, David A. Huse, and Vedika Khemani, "Universality classes of thermalization for mesoscopic Floquet systems", Physical Review B 108 17, 174303 (2023).

[1557] P. V. Sriluckshmy, Vicente Pina-Canelles, Mario Ponce, Manuel G. Algaba, IV Fedor Šimkovic, and Martin Leib, "Optimal, hardware native decomposition of parameterized multi-qubit Pauli gates", Quantum Science and Technology 8 4, 045029 (2023).

[1558] Caroline E. P. Robin and Martin J. Savage, "Quantum simulations in effective model spaces: Hamiltonian-learning variational quantum eigensolver using digital quantum computers and application to the Lipkin-Meshkov-Glick model", Physical Review C 108 2, 024313 (2023).

[1559] Regina Finsterhoelzl and Guido Burkard, "Benchmarking quantum error-correcting codes on quasi-linear and central-spin processors", Quantum Science and Technology 8 1, 015013 (2023).

[1560] Matteo Ippoliti, Yaodong Li, Tibor Rakovszky, and Vedika Khemani, "Operator Relaxation and the Optimal Depth of Classical Shadows", Physical Review Letters 130 23, 230403 (2023).

[1561] Yusen Wu, Zigeng Huang, Jinzhao Sun, Xiao Yuan, Jingbo B. Wang, and Dingshun Lv, "Orbital expansion variational quantum eigensolver", Quantum Science and Technology 8 4, 045030 (2023).

[1562] Michele Grossi, Oriel Kiss, Francesco De Luca, Carlo Zollo, Ian Gremese, and Antonio Mandarino, "Finite-size criticality in fully connected spin models on superconducting quantum hardware", Physical Review E 107 2, 024113 (2023).

[1563] Zhaoqi Leng, Pranav Mundada, Saeed Ghadimi, and Andrew Houck, "Efficient Algorithms for High-Dimensional Quantum Optimal Control of a Transmon Qubit", Physical Review Applied 19 4, 044034 (2023).

[1564] Jason Gavriel, Daniel Herr, Alexis Shaw, Michael J. Bremner, Alexandru Paler, and Simon J. Devitt, "Transversal injection for direct encoding of ancilla states for non-Clifford gates using stabilizer codes", Physical Review Research 5 3, 033019 (2023).

[1565] Stanisław Kurdziałek and Rafał Demkowicz-Dobrzański, "Measurement Noise Susceptibility in Quantum Estimation", Physical Review Letters 130 16, 160802 (2023).

[1566] Akira Sone, Naoki Yamamoto, Tharon Holdsworth, and Prineha Narang, "Jarzynski-like equality of nonequilibrium information production based on quantum cross-entropy", Physical Review Research 5 2, 023039 (2023).

[1567] Zidu Liu, Pei-Xin Shen, Weikang Li, L. -M. Duan, and Dong-Ling Deng, "Quantum capsule networks", Quantum Science and Technology 8 1, 015016 (2023).

[1568] Shahnawaz Ahmed, Fernando Quijandría, and Anton Frisk Kockum, "Gradient-Descent Quantum Process Tomography by Learning Kraus Operators", Physical Review Letters 130 15, 150402 (2023).

[1569] Marcel Cech, Igor Lesanovsky, and Federico Carollo, "Thermodynamics of Quantum Trajectories on a Quantum Computer", Physical Review Letters 131 12, 120401 (2023).

[1570] Weiyuan Gong, Si Jiang, and Dong-Ling Deng, "No-go theorem and a universal decomposition strategy for quantum channel compilation", Physical Review Research 5 1, 013060 (2023).

[1571] Xiao-Wei Wang, Wen-Hao Zhou, Yu-Xuan Fu, Jun Gao, Yong-Heng Lu, Yi-Jun Chang, Lu-Feng Qiao, Ruo-Jing Ren, Ze-Kun Jiang, Zhi-Qiang Jiao, Georgios M. Nikolopoulos, and Xian-Min Jin, "Experimental Boson Sampling Enabling Cryptographic One-Way Function", Physical Review Letters 130 6, 060802 (2023).

[1572] Weitang Li, Jiajun Ren, Sainan Huai, Tianqi Cai, Zhigang Shuai, and Shengyu Zhang, "Efficient quantum simulation of electron-phonon systems by variational basis state encoder", Physical Review Research 5 2, 023046 (2023).

[1573] Niklas J. Glaser, Federico Roy, and Stefan Filipp, "Controlled-Controlled-Phase Gates for Superconducting Qubits Mediated by a Shared Tunable Coupler", Physical Review Applied 19 4, 044001 (2023).

[1574] Jirawat Tangpanitanon, Supanut Thanasilp, Marc-Antoine Lemonde, Ninnat Dangniam, and Dimitris G. Angelakis, "Signatures of a sampling quantum advantage in driven quantum many-body systems", Quantum Science and Technology 8 2, 025019 (2023).

[1575] Francisco Escudero, David Fernández-Fernández, Gabriel Jaumà, Guillermo F. Peñas, and Luciano Pereira, "Hardware-Efficient Entangled Measurements for Variational Quantum Algorithms", Physical Review Applied 20 3, 034044 (2023).

[1576] Kazuki Ikeda, "Quantum extensive-form games", Quantum Information Processing 22 1, 66 (2023).

[1577] Tong Ning, Youlong Yang, and Zhenye Du, "Quantum algorithm for twin extreme learning machine", Physica Scripta 98 8, 085110 (2023).

[1578] Dario Picozzi and Jonathan Tennyson, "Symmetry-adapted encodings for qubit number reduction by point-group and other Boolean symmetries", Quantum Science and Technology 8 3, 035026 (2023).

[1579] Elijah Pelofske, "Mapping state transition susceptibility in quantum annealing", Physical Review Research 5 1, 013224 (2023).

[1580] Edric Matwiejew, Jason Pye, and Jingbo B. Wang, "Quantum optimisation for continuous multivariable functions by a structured search", Quantum Science and Technology 8 4, 045013 (2023).

[1581] Elias Zapusek, Alisa Javadi, and Florentin Reiter, "Nonunitary gate operations by dissipation engineering", Quantum Science and Technology 8 1, 015001 (2023).

[1582] Alistair W. R. Smith, A. J. Paige, and M. S. Kim, "Faster variational quantum algorithms with quantum kernel-based surrogate models", Quantum Science and Technology 8 4, 045016 (2023).

[1583] Takuya Okuda, "Schwinger model on an interval: Analytic results and DMRG", Physical Review D 107 5, 054506 (2023).

[1584] Alicia B. Magann, Sophia E. Economou, and Christian Arenz, "Randomized adaptive quantum state preparation", Physical Review Research 5 3, 033227 (2023).

[1585] Madhav Mohan, Robert de Keijzer, and Servaas Kokkelmans, "Robust control and optimal Rydberg states for neutral atom two-qubit gates", Physical Review Research 5 3, 033052 (2023).

[1586] Edgar Andres Ruiz Guzman and Denis Lacroix, "Restoring broken symmetries using quantum search "oracles"", Physical Review C 107 3, 034310 (2023).

[1587] Shuai Wang, Wenjun Zhang, Tao Zhang, Shuyao Mei, Yuqing Wang, Jiazhong Hu, and Wenlan Chen, "Accelerating the Assembly of Defect-Free Atomic Arrays with Maximum Parallelisms", Physical Review Applied 19 5, 054032 (2023).

[1588] Klée Pollock, Peter P. Orth, and Thomas Iadecola, "Variational microcanonical estimator", Physical Review Research 5 3, 033224 (2023).

[1589] Hongye Yu, Yusheng Zhao, and Tzu-Chieh Wei, "Simulating large-size quantum spin chains on cloud-based superconducting quantum computers", Physical Review Research 5 1, 013183 (2023).

[1590] Bujiao Wu, Xiaoyu He, Shuai Yang, Lifu Shou, Guojing Tian, Jialin Zhang, and Xiaoming Sun, "Optimization of CNOT circuits on limited-connectivity architecture", Physical Review Research 5 1, 013065 (2023).

[1591] Israel F. Araujo, Daniel K. Park, Teresa B. Ludermir, Wilson R. Oliveira, Francesco Petruccione, and Adenilton J. da Silva, "Configurable sublinear circuits for quantum state preparation", Quantum Information Processing 22 2, 123 (2023).

[1592] Gilchan Park, Kun Zhang, Kwangmin Yu, and Vladimir Korepin, "Quantum multi-programming for Grover's search", Quantum Information Processing 22 1, 54 (2023).

[1593] Xin-Xin Yang, Liang-Liang Guo, Hai-Feng Zhang, Lei Du, Chi Zhang, Hao-Ran Tao, Yong Chen, Peng Duan, Zhi-Long Jia, Wei-Cheng Kong, and Guo-Ping Guo, "Experimental Implementation of Short-Path Nonadiabatic Geometric Gates in a Superconducting Circuit", Physical Review Applied 19 4, 044076 (2023).

[1594] A. Avkhadiev, P. E. Shanahan, and R. D. Young, "Strategies for quantum-optimized construction of interpolating operators in classical simulations of lattice quantum field theories", Physical Review D 107 5, 054507 (2023).

[1595] Stefano Martina, Stefano Gherardini, and Filippo Caruso, "Machine learning classification of non-Markovian noise disturbing quantum dynamics", Physica Scripta 98 3, 035104 (2023).

[1596] Yunlong Yu, Chenfeng Cao, Xiang-Bin Wang, Nic Shannon, and Robert Joynt, "Solution of SAT problems with the adaptive-bias quantum approximate optimization algorithm", Physical Review Research 5 2, 023147 (2023).

[1597] David Rodríguez Pérez, Paul Varosy, Ziqian Li, Tanay Roy, Eliot Kapit, and David Schuster, "Error-Divisible Two-Qubit Gates", Physical Review Applied 19 2, 024043 (2023).

[1598] Saahil Patel, Benjamin Collis, William Duong, Daniel Koch, Massimiliano Cutugno, Laura Wessing, and Paul Alsing, "Information loss and run time from practical application of quantum data compression", Physica Scripta 98 4, 045111 (2023).

[1599] Yasuo Oda, Dennis Lucarelli, Kevin Schultz, B. David Clader, and Gregory Quiroz, "Optimally Band-Limited Noise Filtering for Single-Qubit Gates", Physical Review Applied 19 1, 014062 (2023).

[1600] Chenfeng Cao, Yunlong Yu, Zipeng Wu, Nic Shannon, Bei Zeng, and Robert Joynt, "Mitigating algorithmic errors in quantum optimization through energy extrapolation", Quantum Science and Technology 8 1, 015004 (2023).

[1601] Ya-Dong Wu, Yan Zhu, Ge Bai, Yuexuan Wang, and Giulio Chiribella, "Quantum Similarity Testing with Convolutional Neural Networks", Physical Review Letters 130 21, 210601 (2023).

[1602] Gideon Lee, Connor T. Hann, Shruti Puri, S. M. Girvin, and Liang Jiang, "Error Suppression for Arbitrary-Size Black Box Quantum Operations", Physical Review Letters 131 19, 190601 (2023).

[1603] Elijah Pelofske, Georg Hahn, and Hristo N. Djidjev, "Noise dynamics of quantum annealers: estimating the effective noise using idle qubits", Quantum Science and Technology 8 3, 035005 (2023).

[1604] Tangyou Huang, Yongcheng Ding, Léonce Dupays, Yue Ban, Man-Hong Yung, Adolfo del Campo, and Xi Chen, "Time-optimal control of driven oscillators by variational circuit learning", Physical Review Research 5 2, 023173 (2023).

[1605] Marko J. Rančić, "Noisy intermediate-scale quantum computing algorithm for solving an n -vertex MaxCut problem with log(n ) qubits", Physical Review Research 5 1, L012021 (2023).

[1606] Hiroshi Ohno, "A direct error correction method for quantum machine learning", Quantum Information Processing 22 2, 119 (2023).

[1607] Finn Lasse Buessen, Dvira Segal, and Ilia Khait, "Simulating time evolution on distributed quantum computers", Physical Review Research 5 2, L022003 (2023).

[1608] Kübra Yeter-Aydeniz, Zachary Parks, Aadithya Nair Thekkiniyedath, Erik Gustafson, Alexander F. Kemper, Raphael C. Pooser, Yannick Meurice, and Patrick Dreher, "Measuring qubit stability in a gate-based NISQ hardware processor", Quantum Information Processing 22 2, 96 (2023).

[1609] Y. F. Zolotarev, I. A. Luchnikov, J. A. López-Saldívar, A. K. Fedorov, and E. O. Kiktenko, "Continuous Monitoring for Noisy Intermediate-Scale Quantum Processors", Physical Review Applied 19 1, 014027 (2023).

[1610] Tomoyuki Kubota, Yudai Suzuki, Shumpei Kobayashi, Quoc Hoan Tran, Naoki Yamamoto, and Kohei Nakajima, "Temporal information processing induced by quantum noise", Physical Review Research 5 2, 023057 (2023).

[1611] Allan Wing-Bocanegra and Salvador E. Venegas-Andraca, "Circuit implementation of discrete-time quantum walks via the shunt decomposition method", Quantum Information Processing 22 3, 146 (2023).

[1612] Niels M. P. Neumann, Paolo B. U. L. de Heer, and Frank Phillipson, "Quantum reinforcement learning", Quantum Information Processing 22 2, 125 (2023).

[1613] Denis Stanev, Nicolò Spagnolo, and Fabio Sciarrino, "Deterministic optimal quantum cloning via a quantum-optical neural network", Physical Review Research 5 1, 013139 (2023).

[1614] Mazhar Ali, "Partial transpose moments, principal minors and entanglement detection", Quantum Information Processing 22 5, 207 (2023).

[1615] Ying Lu, Peng-Fei Zhou, Shao-Ming Fei, and Shi-Ju Ran, "Quantum compiling with a variational instruction set for accurate and fast quantum computing", Physical Review Research 5 2, 023096 (2023).

[1616] Conrad Strydom and Mark Tame, "Measurement-based interleaved randomised benchmarking using IBM processors", Physica Scripta 98 2, 025106 (2023).

[1617] Lu Wang, Zhao-Yun Chen, Feng-Yu Le, Zhi-Qian Yu, Cheng Xue, Xi-Ning Zhuang, Qing Yan, Yang Yang, Yu-Chun Wu, and Guo-Ping Guo, "A quantum feature selection framework via ground state preparation", Physica Scripta 98 11, 115121 (2023).

[1618] Yun-Hua Kuo and Hong-Bin Chen, "Adaptively partitioned analog quantum simulation on near-term quantum computers: The nonclassical free-induction decay of NV centers in diamond", Physical Review Research 5 4, 043139 (2023).

[1619] Raphael César de Souza Pimenta and Anibal Thiago Bezerra, "Revisiting semiconductor bulk hamiltonians using quantum computers", Physica Scripta 98 4, 045804 (2023).

[1620] Ruhan Wang, Philip Richerme, and Fan Chen, "A hybrid quantum-classical neural network for learning transferable visual representation", Quantum Science and Technology 8 4, 045021 (2023).

[1621] Alexander Geng, Ali Moghiseh, Claudia Redenbach, and Katja Schladitz, "Improved FRQI on superconducting processors and its restrictions in the NISQ era", Quantum Information Processing 22 2, 104 (2023).

[1622] Tianqi Chen, Ruizhe Shen, Ching Hua Lee, and Bo Yang, "High-fidelity realization of the AKLT state on a NISQ-era quantum processor", SciPost Physics 15 4, 170 (2023).

[1623] Guido Burkard, Thaddeus D. Ladd, Andrew Pan, John M. Nichol, and Jason R. Petta, "Semiconductor spin qubits", Reviews of Modern Physics 95 2, 025003 (2023).

[1624] Shi-Xin Zhang, Jonathan Allcock, Zhou-Quan Wan, Shuo Liu, Jiace Sun, Hao Yu, Xing-Han Yang, Jiezhong Qiu, Zhaofeng Ye, Yu-Qin Chen, Chee-Kong Lee, Yi-Cong Zheng, Shao-Kai Jian, Hong Yao, Chang-Yu Hsieh, and Shengyu Zhang, "TensorCircuit: a Quantum Software Framework for the NISQ Era", Quantum 7, 912 (2023).

[1625] Enrique Cervero Martín, Kirill Plekhanov, and Michael Lubasch, "Barren plateaus in quantum tensor network optimization", Quantum 7, 974 (2023).

[1626] Michael P. Zaletel, Mikhail Lukin, Christopher Monroe, Chetan Nayak, Frank Wilczek, and Norman Y. Yao, "Colloquium: Quantum and classical discrete time crystals", Reviews of Modern Physics 95 3, 031001 (2023).

[1627] Kouhei Nakaji, Suguru Endo, Yuichiro Matsuzaki, and Hideaki Hakoshima, "Measurement optimization of variational quantum simulation by classical shadow and derandomization", Quantum 7, 995 (2023).

[1628] He-Liang Huang, Xiao-Yue Xu, Chu Guo, Guojing Tian, Shi-Jie Wei, Xiaoming Sun, Wan-Su Bao, and Gui-Lu Long, "Near-term quantum computing techniques: Variational quantum algorithms, error mitigation, circuit compilation, benchmarking and classical simulation", Science China Physics, Mechanics, and Astronomy 66 5, 250302 (2023).

[1629] Irénée Frérot, Matteo Fadel, and Maciej Lewenstein, "Probing quantum correlations in many-body systems: a review of scalable methods", Reports on Progress in Physics 86 11, 114001 (2023).

[1630] Siyi Yang, Naixu Guo, Miklos Santha, and Patrick Rebentrost, "Quantum Alphatron: quantum advantage for learning with kernels and noise", Quantum 7, 1174 (2023).

[1631] Nicolas Heurtel, Andreas Fyrillas, Grégoire de Gliniasty, Raphaël Le Bihan, Sébastien Malherbe, Marceau Pailhas, Eric Bertasi, Boris Bourdoncle, Pierre-Emmanuel Emeriau, Rawad Mezher, Luka Music, Nadia Belabas, Benoît Valiron, Pascale Senellart, Shane Mansfield, and Jean Senellart, "Perceval: A Software Platform for Discrete Variable Photonic Quantum Computing", Quantum 7, 931 (2023).

[1632] Filip B. Maciejewski, Zbigniew Puchała, and Michał Oszmaniec, "Operational Quantum Average-Case Distances", Quantum 7, 1106 (2023).

[1633] David Jaz Myers, Hisham Sati, and Urs Schreiber, "Topological Quantum Gates in Homotopy Type Theory", arXiv:2303.02382, (2023).

[1634] Yanan Li, Zhimin Wang, Rongbing Han, Shangshang Shi, Jiaxin Li, Ruimin Shang, Haiyong Zheng, Guoqiang Zhong, and Yongjian Gu, "Quantum Recurrent Neural Networks for Sequential Learning", arXiv:2302.03244, (2023).

[1635] Yangzhi Li, Wen Liu, Maoduo Li, and Yugang Li, "Quantum circuit compilation for nearest-neighbor architecture based on reinforcement learning", Quantum Information Processing 22 8, 295 (2023).

[1636] Hiroki Sukeno and Takuya Okuda, "Measurement-based quantum simulation of Abelian lattice gauge theories", SciPost Physics 14 5, 129 (2023).

[1637] Fabian Kreppel, Christian Melzer, Diego Olvera Millán, Janis Wagner, Janine Hilder, Ulrich Poschinger, Ferdinand Schmidt-Kaler, and André Brinkmann, "Quantum Circuit Compiler for a Shuttling-Based Trapped-Ion Quantum Computer", Quantum 7, 1176 (2023).

[1638] Alessio Calzona and Matteo Carrega, "Multi-mode architectures for noise-resilient superconducting qubits", Superconductor Science Technology 36 2, 023001 (2023).

[1639] Ariel Shlosberg, Andrew J. Jena, Priyanka Mukhopadhyay, Jan F. Haase, Felix Leditzky, and Luca Dellantonio, "Adaptive estimation of quantum observables", Quantum 7, 906 (2023).

[1640] Xiaosi Xu and Ying Li, "Quantum-assisted Monte Carlo algorithms for fermions", Quantum 7, 1072 (2023).

[1641] Guillem Müller-Rigat, Anubhav Kumar Srivastava, Stanisław Kurdziałek, Grzegorz Rajchel-Mieldzioć, Maciej Lewenstein, and Irénée Frérot, "Certifying the quantum Fisher information from a given set of mean values: a semidefinite programming approach", Quantum 7, 1152 (2023).

[1642] Javier Sanchez-Rivero, Daniel Talaván, Jose Garcia-Alonso, Antonio Ruiz-Cortés, and Juan Manuel Murillo, "Automatic Generation of an Efficient Less-Than Oracle for Quantum Amplitude Amplification", arXiv:2303.07120, (2023).

[1643] Simon C. Marshall, Casper Gyurik, and Vedran Dunjko, "High Dimensional Quantum Machine Learning With Small Quantum Computers", Quantum 7, 1078 (2023).

[1644] Hannah Lange, Matjaž Kebrič, Maximilian Buser, Ulrich Schollwöck, Fabian Grusdt, and Annabelle Bohrdt, "Adaptive Quantum State Tomography with Active Learning", Quantum 7, 1129 (2023).

[1645] Torsten V. Zache, Daniel González-Cuadra, and Peter Zoller, "Fermion-qudit quantum processors for simulating lattice gauge theories with matter", Quantum 7, 1140 (2023).

[1646] Jinglei Zhang, Ryan Ferguson, Stefan Kühn, Jan F. Haase, C. M. Wilson, Karl Jansen, and Christine A. Muschik, "Simulating gauge theories with variational quantum eigensolvers in superconducting microwave cavities", Quantum 7, 1148 (2023).

[1647] Benedikt Fauseweh and Jian-Xin Zhu, "Quantum computing Floquet energy spectra", Quantum 7, 1063 (2023).

[1648] Peng Lv, Shijie Wei, Hao-Nan Xie, and Guilu Long, "QCSH: A full quantum computer nuclear shell-model package", Science China Physics, Mechanics, and Astronomy 66 4, 240311 (2023).

[1649] Pascal Baßler, Matthias Zipper, Christopher Cedzich, Markus Heinrich, Patrick H. Huber, Michael Johanning, and Martin Kliesch, "Synthesis of and compilation with time-optimal multi-qubit gates", Quantum 7, 984 (2023).

[1650] Soo-Cheol Oh and Gyu-Il Cha, "Logical qubit behavior model and fast simulation for surface code", Quantum Information Processing 22 7, 287 (2023).

[1651] Robert de Keijzer, Oliver Tse, and Servaas Kokkelmans, "Pulse based Variational Quantum Optimal Control for hybrid quantum computing", Quantum 7, 908 (2023).

[1652] Nikita A. Nemkov, Evgeniy O. Kiktenko, Ilia A. Luchnikov, and Aleksey K. Fedorov, "Efficient variational synthesis of quantum circuits with coherent multi-start optimization", Quantum 7, 993 (2023).

[1653] Christian Ufrecht, Maniraman Periyasamy, Sebastian Rietsch, Daniel D. Scherer, Axel Plinge, and Christopher Mutschler, "Cutting multi-control quantum gates with ZX calculus", Quantum 7, 1147 (2023).

[1654] Justyna P. Zwolak and Jacob M. Taylor, "Colloquium: Advances in automation of quantum dot devices control", Reviews of Modern Physics 95 1, 011006 (2023).

[1655] Ziwen Huang, Yunwei Lu, Anna Grassellino, Alexander Romanenko, Jens Koch, and Shaojiang Zhu, "Completely Positive Map for Noisy Driven Quantum Systems Derived by Keldysh Expansion", Quantum 7, 1158 (2023).

[1656] Lorenzo Buffoni and Michele Campisi, "Cooperative quantum information erasure", Quantum 7, 961 (2023).

[1657] Cristina Cirstoiu, Silas Dilkes, Daniel Mills, Seyon Sivarajah, and Ross Duncan, "Volumetric Benchmarking of Error Mitigation with Qermit", Quantum 7, 1059 (2023).

[1658] Chufan Lyu, Xusheng Xu, Man-Hong Yung, and Abolfazl Bayat, "Symmetry enhanced variational quantum spin eigensolver", Quantum 7, 899 (2023).

[1659] Ugo Nzongani, Julien Zylberman, Carlo-Elia Doncecchi, Armando Pérez, Fabrice Debbasch, and Pablo Arnault, "Quantum circuits for discrete-time quantum walks with position-dependent coin operator", Quantum Information Processing 22 7, 270 (2023).

[1660] Raoul Heese, Thore Gerlach, Sascha Mücke, Sabine Müller, Matthias Jakobs, and Nico Piatkowski, "Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning", arXiv:2301.09138, (2023).

[1661] George Watkins, Hoang Minh Nguyen, Varun Seshadri, Keelan Watkins, Steven Pearce, Hoi-Kwan Lau, and Alexandru Paler, "A High Performance Compiler for Very Large Scale Surface Code Computations", arXiv:2302.02459, (2023).

[1662] S. Mahtab, P. Milas, D. -T. Veal, M. G. Spencer, and B. Ozturk, "High efficiency radio frequency antennas for amplifier free quantum sensing applications", Review of Scientific Instruments 94 4, 044701 (2023).

[1663] Reuben Tate, Jai Moondra, Bryan Gard, Greg Mohler, and Swati Gupta, "Warm-Started QAOA with Custom Mixers Provably Converges and Computationally Beats Goemans-Williamson's Max-Cut at Low Circuit Depths", Quantum 7, 1121 (2023).

[1664] Filipa C. R. Peres and Ernesto F. Galvão, "Quantum circuit compilation and hybrid computation using Pauli-based computation", Quantum 7, 1126 (2023).

[1665] Xuanqiang Zhao, Benchi Zhao, Zihan Xia, and Xin Wang, "Information recoverability of noisy quantum states", Quantum 7, 978 (2023).

[1666] Pavel Kos and Georgios Styliaris, "Circuits of space and time quantum channels", Quantum 7, 1020 (2023).

[1667] Ingo Roth, Jadwiga Wilkens, Dominik Hangleiter, and Jens Eisert, "Semi-device-dependent blind quantum tomography", Quantum 7, 1053 (2023).

[1668] Jesse Berwald, Nicholas Chancellor, and Raouf Dridi, "Understanding domain-wall encoding theoretically and experimentally", Philosophical Transactions of the Royal Society of London Series A 381 2241, 20210410 (2023).

[1669] Alexander Gresch and Martin Kliesch, "Guaranteed efficient energy estimation of quantum many-body Hamiltonians using ShadowGrouping", arXiv:2301.03385, (2023).

[1670] Ryan Shaffer, Hang Ren, Emiliia Dyrenkova, Christopher G. Yale, Daniel S. Lobser, Ashlyn D. Burch, Matthew N. H. Chow, Melissa C. Revelle, Susan M. Clark, and Hartmut Häffner, "Sample-efficient verification of continuously-parameterized quantum gates for small quantum processors", Quantum 7, 997 (2023).

[1671] Feng-Ming Liu, Can Wang, Ming-Cheng Chen, He Chen, Shao-Wei Li, Zhong-Xia Shang, Chong Ying, Jian-Wen Wang, Yong-Heng Huo, Cheng-Zhi Peng, Xiaobo Zhu, Chao-Yang Lu, and Jian-Wei Pan, "Quantum computer-aided design for advanced superconducting qubit: Plasmonium", Science Bulletin 68 15, 1625 (2023).

[1672] Erfan Abedi, Salman Beigi, and Leila Taghavi, "Quantum Lazy Training", Quantum 7, 989 (2023).

[1673] Carlos A. Riofrío, Oliver Mitevski, Caitlin Jones, Florian Krellner, Aleksandar Vučković, Joseph Doetsch, Johannes Klepsch, Thomas Ehmer, and Andre Luckow, "A performance characterization of quantum generative models", arXiv:2301.09363, (2023).

[1674] Philip Taranto, Thomas J. Elliott, and Simon Milz, "Hidden Quantum Memory: Is Memory There When Somebody Looks?", Quantum 7, 991 (2023).

[1675] Andrew Litteken, Lennart Maximilian Seifert, Jason D. Chadwick, Natalia Nottingham, Tanay Roy, Ziqian Li, David Schuster, Frederic T. Chong, and Jonathan M. Baker, "Dancing the Quantum Waltz: Compiling Three-Qubit Gates on Four Level Architectures", arXiv:2303.14069, (2023).

[1676] Juan Zurita, Charles E. Creffield, and Gloria Platero, "Fast quantum transfer mediated by topological domain walls", Quantum 7, 1043 (2023).

[1677] Javier Sanchez-Rivero, Daniel Talaván, Jose Garcia-Alonso, Antonio Ruiz-Cortés, and Juan Manuel Murillo, "Some Initial Guidelines for Building Reusable Quantum Oracles", arXiv:2303.14959, (2023).

[1678] Pedro Ripper, Gustavo Amaral, and Guilherme Temporão, "Swap Test-based characterization of decoherence in universal quantum computers", Quantum Information Processing 22 5, 220 (2023).

[1679] Wei Xia, Jie Zou, Xingze Qiu, Feng Chen, Bing Zhu, Chunhe Li, Dong-Ling Deng, and Xiaopeng Li, "Configured quantum reservoir computing for multi-task machine learning", Science Bulletin 68 20, 2321 (2023).

[1680] U. Bhattacharya, Th Lamprou, A. S. Maxwell, A. Ordóñez, E. Pisanty, J. Rivera-Dean, P. Stammer, M. F. Ciappina, M. Lewenstein, and P. Tzallas, "Strong-laser-field physics, non-classical light states and quantum information science", Reports on Progress in Physics 86 9, 094401 (2023).

[1681] Qisheng Wang and Zhicheng Zhang, "Fast Quantum Algorithms for Trace Distance Estimation", arXiv:2301.06783, (2023).

[1682] Seonghoon Choi, Ignacio Loaiza, and Artur F. Izmaylov, "Fluid fermionic fragments for optimizing quantum measurements of electronic Hamiltonians in the variational quantum eigensolver", Quantum 7, 889 (2023).

[1683] Elijah Pelofske, Georg Hahn, and Hristo N. Djidjev, "Solving larger maximum clique problems using parallel quantum annealing", Quantum Information Processing 22 5, 219 (2023).

[1684] James Mills, Debasis Sadhukhan, and Elham Kashefi, "Simplifying errors by symmetry and randomisation", arXiv:2303.02712, (2023).

[1685] Tahereh Abad, Anton Frisk Kockum, and Göran Johansson, "Impact of decoherence on the fidelity of quantum gates leaving the computational subspace", arXiv:2302.13885, (2023).

[1686] Oriel Kiss, Michele Grossi, and Alessandro Roggero, "Importance sampling for stochastic quantum simulations", Quantum 7, 977 (2023).

[1687] Bruno Senjean, Saad Yalouz, and Matthieu Saubanère, "Toward density functional theory on quantum computers?", SciPost Physics 14 3, 055 (2023).

[1688] Rebecca Erbanni, Kishor Bharti, Leong-Chuan Kwek, and Dario Poletti, "NISQ algorithm for the matrix elements of a generic observable", SciPost Physics 15 4, 180 (2023).

[1689] Marco Ballarin, Stefano Mangini, Simone Montangero, Chiara Macchiavello, and Riccardo Mengoni, "Entanglement entropy production in Quantum Neural Networks", Quantum 7, 1023 (2023).

[1690] Yihua Wu, Chunhui Wu, Anqi Zhang, and Shengmei Zhao, "Domain adaptation based on hybrid classical-quantum neural network", Quantum Information Processing 22 6, 261 (2023).

[1691] Michael Fellner, Kilian Ender, Roeland ter Hoeven, and Wolfgang Lechner, "Parity Quantum Optimization: Benchmarks", Quantum 7, 952 (2023).

[1692] Piotr Dulian and Adam Sawicki, "Matrix concentration inequalities and efficiency of random universal sets of quantum gates", Quantum 7, 983 (2023).

[1693] Nicola Mariella and Sergiy Zhuk, "A doubly stochastic matrices-based approach to optimal qubit routing", Quantum Information Processing 22 7, 264 (2023).

[1694] Jonathan Durandau, Janis Wagner, Frédéric Mailhot, Charles-Antoine Brunet, Ferdinand Schmidt-Kaler, Ulrich Poschinger, and Yves Bérubé-Lauzière, "Automated Generation of Shuttling Sequences for a Linear Segmented Ion Trap Quantum Computer", Quantum 7, 1175 (2023).

[1695] Luogen Xu and James K. Freericks, "Efficient Application of the Factorized form of the Unitary Coupled-Cluster Ansatz for the Variational Quantum Eigensolver Algorithm by Using Linear Combination of Unitaries", Symmetry 15 7, 1429 (2023).

[1696] Gabriel Matos, Chris N. Self, Zlatko Papić, Konstantinos Meichanetzidis, and Henrik Dreyer, "Characterization of variational quantum algorithms using free fermions", Quantum 7, 966 (2023).

[1697] F. J. Araujo Filho, R. F. Dutra, I. F. F. dos Santos, M. L. Lyra, G. M. A. Almeida, and F. A. B. F. de Moura, "Transfer of quantum states through a disordered channel with exponentially decaying couplings", Quantum Information Processing 22 9, 327 (2023).

[1698] Bujiao Wu, Jinzhao Sun, Qi Huang, and Xiao Yuan, "Overlapped grouping measurement: A unified framework for measuring quantum states", Quantum 7, 896 (2023).

[1699] Pharnam Bakhshinezhad, Beniamin R. Jablonski, Felix C. Binder, and Nicolai Friis, "Trade-offs between precision and fluctuations in charging finite-dimensional quantum systems", arXiv:2303.16676, (2023).

[1700] Xiao Xiao, J. K. Freericks, and A. F. Kemper, "Robust measurement of wave function topology on NISQ quantum computers", Quantum 7, 987 (2023).

[1701] Patrik I. Sund, Emma Lomonte, Stefano Paesani, Ying Wang, Jacques Carolan, Nikolai Bart, Andreas D. Wieck, Arne Ludwig, Leonardo Midolo, Wolfram H. P. Pernice, Peter Lodahl, and Francesco Lenzini, "High-speed thin-film lithium niobate quantum processor driven by a solid-state quantum emitter", Science Advances 9 19, eadg7268 (2023).

[1702] Fernando A. Calderon-Vargas, Timothy Proctor, Kenneth Rudinger, and Mohan Sarovar, "Quantum circuit debugging and sensitivity analysis via local inversions", Quantum 7, 921 (2023).

[1703] Younghun Kim, Jeongsoo Kang, and Younghun Kwon, "Design of quantum error correcting code for biased error on heavy-hexagon structure", Quantum Information Processing 22 6, 230 (2023).

[1704] Phillip C. Lotshaw, Hanjing Xu, Bilal Khalid, Gilles Buchs, Travis S. Humble, and Arnab Banerjee, "Simulations of frustrated Ising Hamiltonians using quantum approximate optimization", Philosophical Transactions of the Royal Society of London Series A 381 2241, 20210414 (2023).

[1705] Harish J. Vallury, Michael A. Jones, Gregory A. L. White, Floyd M. Creevey, Charles D. Hill, and Lloyd C. L. Hollenberg, "Noise-robust ground state energy estimates from deep quantum circuits", Quantum 7, 1109 (2023).

[1706] Bharat Thotakura and Tzu-Chieh Wei, "Quantum state transfer: interplay between gate and readout errors", Quantum Information Processing 22 7, 275 (2023).

[1707] Yun-Fei Niu, Shuo Zhang, Chen Ding, Wan-Su Bao, and He-Liang Huang, "Parameter-parallel distributed variational quantum algorithm", SciPost Physics 14 5, 132 (2023).

[1708] Niels Gleinig, Tobias Rohner, and Torsten Hoefler, "Approximate Reversible Circuits for NISQ-Era Quantum Computers", arXiv:2302.01066, (2023).

[1709] Christian Carisch and Oded Zilberberg, "Efficient separation of quantum from classical correlations for mixed states with a fixed charge", Quantum 7, 954 (2023).

[1710] V. O. Shkolnikov, Nicholas J. Mayhall, Sophia E. Economou, and Edwin Barnes, "Avoiding symmetry roadblocks and minimizing the measurement overhead of adaptive variational quantum eigensolvers", Quantum 7, 1040 (2023).

[1711] Ryan Kim, "Implementing a Hybrid Quantum-Classical Neural Network by Utilizing a Variational Quantum Circuit for Detection of Dementia", arXiv:2301.12505, (2023).

[1712] Felix Truger, Johanna Barzen, Marvin Bechtold, Martin Beisel, Frank Leymann, Alexander Mandl, and Vladimir Yussupov, "Warm-Starting and Quantum Computing: A Systematic Mapping Study", arXiv:2303.06133, (2023).

[1713] Victoria J. Wright and Ravi Kunjwal, "Contextuality in composite systems: the role of entanglement in the Kochen-Specker theorem", Quantum 7, 900 (2023).

[1714] Davide Rattacaso, Gianluca Passarelli, and Procolo Lucignano, "High-accuracy Hamiltonian learning via delocalized quantum state evolutions", Quantum 7, 905 (2023).

[1715] Zijie Chen, Luyan Sun, and Chang-Ling Zou, "Entering the error-corrected quantum era", Science Bulletin 68 10, 961 (2023).

[1716] Utkarsh Azad and Animesh Sinha, "qLEET: visualizing loss landscapes, expressibility, entangling power and training trajectories for parameterized quantum circuits", Quantum Information Processing 22 6, 256 (2023).

[1717] André Melo, Nathan Earnest-Noble, and Francesco Tacchino, "Pulse-efficient quantum machine learning", Quantum 7, 1130 (2023).

[1718] Aidan Pellow-Jarman, Ilya Sinayskiy, Anban Pillay, and Francesco Petruccione, "Near term algorithms for linear systems of equations", Quantum Information Processing 22 6, 258 (2023).

[1719] Hideyuki Miyahara, Yiyou Chen, Vwani Roychowdhury, and Louis-Serge Bouchard, "Decoherence mitigation by embedding a logical qubit in a qudit", Quantum Information Processing 22 7, 278 (2023).

[1720] Xiaoqin Gao, Paul Appel, Nicolai Friis, Martin Ringbauer, and Marcus Huber, "On the role of entanglement in qudit-based circuit compression", Quantum 7, 1141 (2023).

[1721] Waldemir Cambiucci, Regina Melo Silveira, and Wilson Vicente Ruggiero, "Hypergraphic partitioning of quantum circuits for distributed quantum computing", arXiv:2301.05759, (2023).

[1722] Siyuan Niu and Aida Todri-Sanial, "Enabling Multi-programming Mechanism for Quantum Computing in the NISQ Era", Quantum 7, 925 (2023).

[1723] Mingxia Huo and Ying Li, "Error-resilient Monte Carlo quantum simulation of imaginary time", Quantum 7, 916 (2023).

[1724] Minghua Pan, Taiping Xiong, and Shenggen Zheng, "Performance of Grover's search algorithm with diagonalizable collective noises", Quantum Information Processing 22 6, 238 (2023).

[1725] Kilian Ender, Roeland ter Hoeven, Benjamin E. Niehoff, Maike Drieb-Schön, and Wolfgang Lechner, "Parity Quantum Optimization: Compiler", Quantum 7, 950 (2023).

[1726] Mainak Bhattacharyya and Ankur Raina, "Quantum Approximation Optimization Algorithm for the trellis based Viterbi decoding of classical error correcting codes", arXiv:2304.02292, (2023).

[1727] Lieuwe Vinkhuijzen, Tim Coopmans, David Elkouss, Vedran Dunjko, and Alfons Laarman, "LIMDD: A Decision Diagram for Simulation of Quantum Computing Including Stabilizer States", Quantum 7, 1108 (2023).

[1728] Matt Menickelly, Yunsoo Ha, and Matthew Otten, "Latency considerations for stochastic optimizers in variational quantum algorithms", Quantum 7, 949 (2023).

[1729] Casper Gyurik, van Vreumingen, and Vedran Dunjko, "Structural risk minimization for quantum linear classifiers", Quantum 7, 893 (2023).

[1730] Chen-Fu Chiang and Paul M. Alsing, "Grover search inspired alternating operator ansatz of quantum approximate optimization algorithm for search problems", Quantum Information Processing 22 5, 221 (2023).

[1731] Run-Hong He, Feng-Hua Ren, Yang-Yang Xie, Arapat Ablimit, and Zhao-Ming Wang, "Approximate quantum gates compilation for superconducting transmon qubits with self-navigation algorithm", Quantum Information Processing 22 10, 367 (2023).

[1732] Vicente Moret-Bonillo, Eduardo Mosqueira-Rey, Samuel Magaz-Romero, and Diego Alvarez-Estevez, "Hybrid Classic-Quantum Computing for Staging of Invasive Ductal Carcinoma of Breast", arXiv:2303.10142, (2023).

[1733] Yao Tang, Tao Shang, and Jianwei Liu, "Dynamic full quantum one-way function based on quantum circuit mapping", Quantum Information Processing 22 8, 324 (2023).

[1734] Masab Iqbal, Luis Velasco, Nelson Costa, Antonio Napoli, Joao Pedro, and Marc Ruiz, "Investigating Imperfect Cloning for Extending Quantum Communication Capabilities", Sensors 23 18, 7891 (2023).

[1735] Alireza Zirak, "XIRAC-Q: a near-real-time quantum operating system scheduling structure based on Shannon information theorem", Quantum Information Processing 22 11, 403 (2023).

[1736] Ebrahim Ghasemian, Abolhassan Razminia, and Habib Rostami, "Quantum machine learning based on continuous variable single-photon states: an elementary foundation for quantum neural networks", Quantum Information Processing 22 10, 378 (2023).

[1737] Jongheon Lee, Yousung Kang, You-Seok Lee, Boheung Chung, and Dooho Choi, "MPMCT gate decomposition method reducing T-depth quickly in proportion to the number of work qubits", Quantum Information Processing 22 10, 381 (2023).

[1738] Francisco Orts, Remigijus Paulavičius, and Ernestas Filatovas, "Improving the implementation of quantum blockchain based on hypergraphs", Quantum Information Processing 22 9, 330 (2023).

[1739] Nirupam Basak, Nayana Das, Goutam Paul, Kaushik Nandi, and Nixon Patel, "Quantum secret sharing protocol using GHZ state: implementation on IBM qiskit", Quantum Information Processing 22 11, 393 (2023).

[1740] Willie Huang, "Analyses of the viability of automating the quantum circuit construction of Grover Oracle for executing wildcard searches on NISQ processors", arXiv:2303.08898, (2023).

[1741] Ana Cruz, Alexandre Madeira, and LuÂ-Ã-s Soares Barbosa, "Paraconsistent Transition Systems", arXiv:2303.13254, (2023).

[1742] Bowen Li, Ting Li, and Fei Li, "A design method for efficient variational quantum models based on specific Pauli axis", Quantum Information Processing 22 10, 387 (2023).

[1743] Ruimin Shang, Zhimin Wang, Shangshang Shi, Jiaxin Li, Yanan Li, and Yongjian Gu, "Algorithm for simulating ocean circulation on a quantum computer", Science China Earth Sciences 66 10, 2254 (2023).

[1744] Alireza Nourmandipour and Ali Mortezapour, "Frequency-modulated qubits in a dissipative cavity: entanglement dynamics and protection", Quantum Information Processing 22 6, 254 (2023).

[1745] Anette Messinger, Michael Fellner, and Wolfgang Lechner, "Constant Depth Code Deformations in the Parity Architecture", arXiv:2303.08602, (2023).

[1746] Joanna Wiśniewska and Marek Sawerwain, "Variational Quantum Eigensolver for Classification in Credit Sales Risk", arXiv:2303.02797, (2023).

[1747] Thomas Brunet, Emma Tolley, Stefano Corda, Roman Ilic, P. Chris Broekema, and Jean-Paul Kneib, "Quantum Radio Astronomy: Data Encodings and Quantum Image Processing", arXiv:2310.12084, (2023).

[1748] Tsubasa Ichikawa, Hideaki Hakoshima, Koji Inui, Kosuke Ito, Ryo Matsuda, Kosuke Mitarai, Koichi Miyamoto, Wataru Mizukami, Kaoru Mizuta, Toshio Mori, Yuichiro Nakano, Akimoto Nakayama, Ken N. Okada, Takanori Sugimoto, Souichi Takahira, Nayuta Takemori, Satoyuki Tsukano, Hiroshi Ueda, Ryo Watanabe, Yuichiro Yoshida, and Keisuke Fujii, "A comprehensive survey on quantum computer usage: How many qubits are employed for what purposes?", arXiv:2307.16130, (2023).

[1749] Alexander M. Dalzell, Sam McArdle, Mario Berta, Przemyslaw Bienias, Chi-Fang Chen, András Gilyén, Connor T. Hann, Michael J. Kastoryano, Emil T. Khabiboulline, Aleksander Kubica, Grant Salton, Samson Wang, and Fernando G. S. L. Brandão, "Quantum algorithms: A survey of applications and end-to-end complexities", arXiv:2310.03011, (2023).

[1750] Harper R. Grimsley, George S. Barron, Edwin Barnes, Sophia E. Economou, and Nicholas J. Mayhall, "Adaptive, problem-tailored variational quantum eigensolver mitigates rough parameter landscapes and barren plateaus", npj Quantum Information 9, 19 (2023).

[1751] Pedro Maciel Xavier, Pedro Ripper, Tiago Andrade, Joaquim Dias Garcia, Nelson Maculan, and David E. Bernal Neira, "QUBO.jl: A Julia Ecosystem for Quadratic Unconstrained Binary Optimization", arXiv:2307.02577, (2023).

[1752] Kaixiang Su, Nayan Myerson-Jain, Chong Wang, Chao-Ming Jian, and Cenke Xu, "Higher-form Symmetries under Weak Measurement", arXiv:2304.14433, (2023).

[1753] Tzu-Ching Yen, Aadithya Ganeshram, and Artur F. Izmaylov, "Deterministic improvements of quantum measurements with grouping of compatible operators, non-local transformations, and covariance estimates", npj Quantum Information 9, 14 (2023).

[1754] Yuheng Guo and Mingpu Qin, "The Performance of VQE across a phase transition point in the $J_1$-$J_2$ model on kagome lattice", arXiv:2306.04851, (2023).

[1755] Jonathan Y. Huang, Rocky Y. Su, Wee Han Lim, MengKe Feng, Barnaby van Straaten, Brandon Severin, Will Gilbert, Nard Dumoulin Stuyck, Tuomo Tanttu, Santiago Serrano, Jesus D. Cifuentes, Ingvild Hansen, Amanda E. Seedhouse, Ensar Vahapoglu, Nikolay V. Abrosimov, Hans-Joachim Pohl, Michael L. W. Thewalt, Fay E. Hudson, Christopher C. Escott, Natalia Ares, Stephen D. Bartlett, Andrea Morello, Andre Saraiva, Arne Laucht, Andrew S. Dzurak, and Chih Hwan Yang, "High-fidelity operation and algorithmic initialisation of spin qubits above one kelvin", arXiv:2308.02111, (2023).

[1756] Ruochen Ma, "Exploring critical systems under measurements and decoherence via Keldysh field theory", arXiv:2304.08277, (2023).

[1757] Manuel S. Rudolph, Jing Chen, Jacob Miller, Atithi Acharya, and Alejandro Perdomo-Ortiz, "Decomposition of matrix product states into shallow quantum circuits", Quantum Science and Technology 9 1, 015012 (2024).

[1758] R. Au-Yeung, A. J. Williams, V. M. Kendon, and S. J. Lind, "Quantum algorithm for smoothed particle hydrodynamics", Computer Physics Communications 294, 108909 (2024).

[1759] Yuchen Guo and Shuo Yang, "Noise effects on purity and quantum entanglement in terms of physical implementability", npj Quantum Information 9, 11 (2023).

[1760] Nathan Keenan, Niall F. Robertson, Tara Murphy, Sergiy Zhuk, and John Goold, "Evidence of Kardar-Parisi-Zhang scaling on a digital quantum simulator", npj Quantum Information 9, 72 (2023).

[1761] Pere Mujal, Rodrigo Martínez-Peña, Gian Luca Giorgi, Miguel C. Soriano, and Roberta Zambrini, "Time-series quantum reservoir computing with weak and projective measurements", npj Quantum Information 9, 16 (2023).

[1762] Stefano Mangini, "Variational quantum algorithms for machine learning: theory and applications", arXiv:2306.09984, (2023).

[1763] Ijaz Ahamed Mohammad, Matej Pivoluska, and Martin Plesch, "Resource-efficient utilization of quantum computers", arXiv:2305.08924, (2023).

[1764] Guglielmo Lami, Alessandro Santini, and Mario Collura, "Continuously Monitored Quantum Systems beyond Lindblad Dynamics", arXiv:2305.04108, (2023).

[1765] Francesco Bernardini, Abhijit Chakraborty, and Carlos R. Ordóñez, "Quantum computing with trapped ions: a beginner's guide", European Journal of Physics 45 1, 013001 (2024).

[1766] Karen Wintersperger, Florian Dommert, Thomas Ehmer, Andrey Hoursanov, Johannes Klepsch, Wolfgang Mauerer, Georg Reuber, Thomas Strohm, Ming Yin, and Sebastian Luber, "Neutral Atom Quantum Computing Hardware: Performance and End-User Perspective", arXiv:2304.14360, (2023).

[1767] Hiroki Sukeno and Tzu-Chieh Wei, "Quantum simulation of lattice gauge theories via deterministic duality transformations assisted by measurements", arXiv:2305.12277, (2023).

[1768] Zhiqian Xu, Yi Fan, Chu Guo, and Honghui Shang, "MPS-VQE: A variational quantum computational chemistry simulator with matrix product states", Computer Physics Communications 294, 108897 (2024).

[1769] Andres Ruiz, "Symmetry breaking and restoration for many-body problems treated on quantum computers", arXiv:2310.17996, (2023).

[1770] Zhelun Zhang and Yi-Zhuang You, "Observing Schrödinger's Cat with Artificial Intelligence: Emergent Classicality from Information Bottleneck", arXiv:2306.14838, (2023).

[1771] Akel Hashim, Stefan Seritan, Timothy Proctor, Kenneth Rudinger, Noah Goss, Ravi K. Naik, John Mark Kreikebaum, David I. Santiago, and Irfan Siddiqi, "Benchmarking quantum logic operations relative to thresholds for fault tolerance", npj Quantum Information 9, 109 (2023).

[1772] Chuanqi Xu, Ferhat Erata, and Jakub Szefer, "Classification of Quantum Computer Fault Injection Attacks", arXiv:2309.05478, (2023).

[1773] Ramin Ayanzadeh, Ahmad Mousavi, Narges Alavisamani, and Moinuddin Qureshi, "Enigma: Privacy-Preserving Execution of QAOA on Untrusted Quantum Computers", arXiv:2311.13546, (2023).

[1774] Liang-Hong Mo, Yao Zhou, Jia-Rui Sun, and Peng Ye, "Unraveling the Hyperfine Structure of Entanglement with the Decomposition of Rényi Contour", arXiv:2311.01997, (2023).

[1775] Emily Wright and Rogério de Sousa, "Fast quantum gate design with deep reinforcement learning using real-time feedback on readout signals", arXiv:2305.01169, (2023).

[1776] Michael Kölle, Jonas Maurer, Philipp Altmann, Leo Sünkel, Jonas Stein, and Claudia Linnhoff-Popien, "Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures", arXiv:2311.05559, (2023).

[1777] Mathias Weiden, Ed Younis, Justin Kalloor, John Kubiatowicz, and Costin Iancu, "Improving Quantum Circuit Synthesis with Machine Learning", arXiv:2306.05622, (2023).

[1778] Emanuele Mendicelli, "Investigating how to simulate lattice gauge theories on a quantum computer", arXiv:2308.15421, (2023).

[1779] Zhiding Liang, Jinglei Cheng, Zhixin Song, Hang Ren, Rui Yang, Hanrui Wang, Kecheng Liu, Peter Kogge, Tongyang Li, Yongshan Ding, and Yiyu Shi, "Towards Advantages of Parameterized Quantum Pulses", arXiv:2304.09253, (2023).

[1780] Bernhard Jobst, Kevin Shen, Carlos A. Riofrío, Elvira Shishenina, and Frank Pollmann, "Efficient MPS representations and quantum circuits from the Fourier modes of classical image data", arXiv:2311.07666, (2023).

[1781] Casey Jameson, Bora Basyildiz, Daniel Moore, Kyle Clark, and Zhexuan Gong, "Time optimal quantum state transfer in a fully-connected quantum computer", Quantum Science and Technology 9 1, 015014 (2024).

[1782] Changsu Cao, Jinzhao Sun, Xiao Yuan, Han-Shi Hu, Hung Q. Pham, and Dingshun Lv, "Ab initio quantum simulation of strongly correlated materials with quantum embedding", npj Computational Mathematics 9, 78 (2023).

[1783] Muhammad Asaduzzaman, Raghav G. Jha, and Bharath Sambasivam, "A model of quantum gravity on a noisy quantum computer", arXiv:2311.17991, (2023).

[1784] Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, and Min-Hsiu Hsieh, "Theoretical error performance analysis for variational quantum circuit based functional regression", npj Quantum Information 9, 4 (2023).

[1785] Pablo Díez-Valle, Diego Porras, and Juan José García-Ripoll, "Connection between single-layer Quantum Approximate Optimization Algorithm interferometry and thermal distributions sampling", arXiv:2310.09172, (2023).

[1786] Florian Rehm, Sofia Vallecorsa, Kerstin Borras, Dirk Krücker, Michele Grossi, and Valle Varo, "Precise image generation on current noisy quantum computing devices", Quantum Science and Technology 9 1, 015009 (2024).

[1787] Tom Weber, Kerstin Borras, Karl Jansen, Dirk Krücker, and Matthias Riebisch, "Volumetric Benchmarking of Quantum Computing Noise Models", arXiv:2306.08427, (2023).

[1788] Albie Chan, Zheng Shi, Luca Dellantonio, Wolfgang Dür, and Christine A. Muschik, "Hybrid variational quantum eigensolvers: merging computational models", arXiv:2305.19200, (2023).

[1789] Alexander Stehli, Jan David Brehm, Tim Wolz, Andre Schneider, Hannes Rotzinger, Martin Weides, and Alexey V. Ustinov, "Quantum emulation of the transient dynamics in the multistate Landau-Zener model", npj Quantum Information 9, 61 (2023).

[1790] Akira Kamimaki, Keidai Wakamatsu, Kosuke Mikata, Yuhei Sekiguchi, and Hideo Kosaka, "Deterministic Bell state measurement with a single quantum memory", npj Quantum Information 9, 101 (2023).

[1791] Matt Lourens, Ilya Sinayskiy, Daniel K. Park, Carsten Blank, and Francesco Petruccione, "Hierarchical quantum circuit representations for neural architecture search", npj Quantum Information 9, 79 (2023).

[1792] Thi Ha Kyaw, Micheline B. Soley, Brandon Allen, Paul Bergold, Chong Sun, Victor S. Batista, and Alán Aspuru-Guzik, "Boosting quantum amplitude exponentially in variational quantum algorithms", Quantum Science and Technology 9 1, 01LT01 (2024).

[1793] Anthony M. Smaldone, Gregory W. Kyro, and Victor S. Batista, "Quantum Convolutional Neural Networks for Multi-Channel Supervised Learning", arXiv:2305.18961, (2023).

[1794] Daniel Strano, Benn Bollay, Aryan Blaauw, Nathan Shammah, William J. Zeng, and Andrea Mari, "Exact and approximate simulation of large quantum circuits on a single GPU", arXiv:2304.14969, (2023).

[1795] Shangshang Shi, Zhimin Wang, Jiaxin Li, Yanan Li, Ruimin Shang, Haiyong Zheng, Guoqiang Zhong, and Yongjian Gu, "A natural NISQ model of quantum self-attention mechanism", arXiv:2305.15680, (2023).

[1796] Run-Hong He, Xu-Sheng Xu, Mark S. Byrd, and Zhao-Ming Wang, "Modularized and scalable compilation for double quantum dot quantum computing", Quantum Science and Technology 9 1, 015004 (2024).

[1797] Guillaume Dauphinais, David W. Kribs, and Michael Vasmer, "Stabilizer Formalism for Operator Algebra Quantum Error Correction", arXiv:2304.11442, (2023).

[1798] Emiel Koridon, Joana Fraxanet, Alexandre Dauphin, Lucas Visscher, Thomas E. O'Brien, and Stefano Polla, "A hybrid quantum algorithm to detect conical intersections", arXiv:2304.06070, (2023).

[1799] Aaron Szasz, Ed Younis, and Wibe de Jong, "Numerical circuit synthesis and compilation for multi-state preparation", arXiv:2305.01816, (2023).

[1800] Sitong Liu, Naphan Benchasattabuse, Darcy QC Morgan, Michal Hajdušek, Simon J. Devitt, and Rodney Van Meter, "A Substrate Scheduler for Compiling Arbitrary Fault-tolerant Graph States", arXiv:2306.03758, (2023).

[1801] Zhen Wen, Yihan Liu, Siwei Tan, Jieyi Chen, Minfeng Zhu, Dongming Han, Jianwei Yin, Mingliang Xu, and Wei Chen, "Quantivine: A Visualization Approach for Large-scale Quantum Circuit Representation and Analysis", arXiv:2307.08969, (2023).

[1802] Dimitrios Thanos, Tim Coopmans, and Alfons Laarman, "Fast equivalence checking of quantum circuits of Clifford gates", arXiv:2308.01206, (2023).

[1803] Suryansh Upadhyay, Rasit Onur Topaloglu, and Swaroop Ghosh, "Trustworthy Computing using Untrusted Cloud-Based Quantum Hardware", arXiv:2305.01826, (2023).

[1804] Srinjoy Ganguly, Sai Nandan Morapakula, and Luis Miguel Pozo Coronado, "Quantum Natural Language Processing based Sentiment Analysis using lambeq Toolkit", arXiv:2305.19383, (2023).

[1805] Takashi Tsuchimochi, Yoohee Ryo, Siu Chung Tsang, and Seiichiro L. Ten-no, "Multi-state quantum simulations via model-space quantum imaginary time evolution", npj Quantum Information 9, 113 (2023).

[1806] Michael J. Bremner, Bin Cheng, and Zhengfeng Ji, "IQP Sampling and Verifiable Quantum Advantage: Stabilizer Scheme and Classical Security", arXiv:2308.07152, (2023).

[1807] Dayue Qin, Yanzhu Chen, and Ying Li, "Error statistics and scalability of quantum error mitigation formulas", npj Quantum Information 9, 35 (2023).

[1808] Danylo Lykov, Jonathan Wurtz, Cody Poole, Mark Saffman, Tom Noel, and Yuri Alexeev, "Sampling frequency thresholds for the quantum advantage of the quantum approximate optimization algorithm", npj Quantum Information 9, 73 (2023).

[1809] Mark-Oliver Wolf, Tom Ewen, and Ivica Turkalj, "Quantum Architecture Search for Quantum Monte Carlo Integration via Conditional Parameterized Circuits with Application to Finance", arXiv:2304.08793, (2023).

[1810] Mārtiņš Kālis, Andris Locāns, Rolands Šikovs, Hassan Naseri, and Andris Ambainis, "A hybrid quantum-classical approach for inference on restricted Boltzmann machines", arXiv:2304.12418, (2023).

[1811] Akshay Ajagekar and Fengqi You, "Molecular design with automated quantum computing-based deep learning and optimization", npj Computational Mathematics 9, 143 (2023).

[1812] Timothe Presles, Cyrille Enderli, Gilles Burel, and El Houssain Baghious, "Phase-coded Radar Waveform Design with Quantum Annealing", arXiv:2305.17953, (2023).

[1813] Pascal Baßler, Markus Heinrich, and Martin Kliesch, "Time-optimal multi-qubit gates: Complexity, efficient heuristic and gate-time bounds", arXiv:2307.11160, (2023).

[1814] Muhammad Kashif and Saif Al-Kuwari, "The Unified Effect of Data Encoding, Ansatz Expressibility and Entanglement on the Trainability of HQNNs", arXiv:2305.04504, (2023).

[1815] Elijah Pelofske, Andreas Bärtschi, John Golden, and Stephan Eidenbenz, "High-Round QAOA for MAX $k$-SAT on Trapped Ion NISQ Devices", arXiv:2306.03238, (2023).

[1816] Alexander Zlokapa, Benjamin Villalonga, Sergio Boixo, and Daniel A. Lidar, "Boundaries of quantum supremacy via random circuit sampling", npj Quantum Information 9, 36 (2023).

[1817] Ara Ghukasyan, Jack S. Baker, Oktay Goktas, Juan Carrasquilla, and Santosh Kumar Radha, "Quantum-Classical Multiple Kernel Learning", arXiv:2305.17707, (2023).

[1818] Antares Chen, Neng Huang, and Kunal Marwaha, "Local algorithms and the failure of log-depth quantum advantage on sparse random CSPs", arXiv:2310.01563, (2023).

[1819] Kan Takase, Kosuke Fukui, Akito Kawasaki, Warit Asavanant, Mamoru Endo, Jun-ichi Yoshikawa, Peter van Loock, and Akira Furusawa, "Gottesman-Kitaev-Preskill qubit synthesizer for propagating light", npj Quantum Information 9, 98 (2023).

[1820] D. V. Babukhin, "Echo-evolution data generation for quantum error mitigation via neural networks", arXiv:2311.00487, (2023).

[1821] Dev Gurung, Shiva Raj Pokhrel, and Gang Li, "Decentralized Quantum Federated Learning for Metaverse: Analysis, Design and Implementation", arXiv:2306.11297, (2023).

[1822] Zihao Li, Huangjun Zhu, and Masahito Hayashi, "Robust and efficient verification of graph states in blind measurement-based quantum computation", npj Quantum Information 9, 115 (2023).

[1823] Gwonhak Lee, Dongkeun Lee, and Joonsuk Huh, "Sampling Error Analysis in Quantum Krylov Subspace Diagonalization", arXiv:2307.16279, (2023).

[1824] Thinh Viet Le and Vassilis Kekatos, "Variational Quantum Eigensolver with Constraints (VQEC): Solving Constrained Optimization Problems via VQE", arXiv:2311.08502, (2023).

[1825] Laia Domingo, "Classical and quantum reservoir computing: development and applications in machine learning", arXiv:2310.07455, (2023).

[1826] Hideki Okawa, "Charged particle reconstruction for future high energy colliders with Quantum Approximate Optimization Algorithm", arXiv:2310.10255, (2023).

[1827] Jinyang Li, Qiang Guan, Dingwen Tao, and Weiwen Jiang, "Carbon Emissions of Quantum Circuit Simulation: More than You Would Think", arXiv:2307.05510, (2023).

[1828] Ufuk Korkmaz and Deniz Türkpençe, "Stabilization and Dissipative Information Transfer of a Superconducting Kerr-Cat Qubit", arXiv:2307.12298, (2023).

[1829] Elena R. Henderson, Jessie M. Henderson, Aviraj Sinha, Eric C. Larson, D. Michael Miller, and Mitchell A. Thornton, "Automated Synthesis of Quantum Subcircuits", arXiv:2309.01028, (2023).

[1830] E. Wes Bethel, Mercy G. Amankwah, Jan Balewski, Roel Van Beeumen, Daan Camps, Daniel Huang, and Talita Perciano, "Quantum Computing and Visualization: A Disruptive Technological Change Ahead", arXiv:2310.04937, (2023).

[1831] Andrew Lingenfelter and Aashish A. Clerk, "Surpassing spectator qubits with photonic modes and continuous measurement for Heisenberg-limited noise mitigation", npj Quantum Information 9, 81 (2023).

[1832] Jin-Min Liang, Qiao-Qiao Lv, Zhi-Xi Wang, and Shao-Ming Fei, "Assisted quantum simulation of open quantum systems", iScience 26 4, 106306 (2023).

[1833] Gabriel San Martin Silva and Enrique Lopez Droguett, "Quantum-Based Combinatorial Optimization for Structural Health Monitoring Applications", arXiv:2305.08738, (2023).

[1834] Ramin Ayanzadeh and Moinuddin Qureshi, "Skipper: Improving the Reach and Fidelity of Quantum Annealers by Skipping Long Chains", arXiv:2312.00264.

[1835] Emiliano Tolotti, Enrico Zardini, Enrico Blanzieri, and Davide Pastorello, "Ensembles of Quantum Classifiers", arXiv:2311.09750, (2023).

[1836] Vikesh Siddhu and John Smolin, "Maximum expectation of observables with restricted purity states", arXiv:2311.07680, (2023).

[1837] Weijie Huang and Yao Yao, "Spatial inversion symmetry breaking of vortex current in biased-ladder superfluid", arXiv:2307.15889, (2023).

[1838] Ge Bai and Iman Marvian, "Synthesis of Energy-Conserving Quantum Circuits with XY interaction", arXiv:2309.11051, (2023).

[1839] Elijah Pelofske, Andreas Bärtschi, and Stephan Eidenbenz, "Simulating Heavy-Hex Transverse Field Ising Model Magnetization Dynamics Using Programmable Quantum Annealers", arXiv:2311.01657, (2023).

[1840] Suryansh Upadhyay and Swaroop Ghosh, "Obfuscating Quantum Hybrid-Classical Algorithms for Security and Privacy", arXiv:2305.02379, (2023).

The above citations are from SAO/NASA ADS (last updated successfully 2023-12-07 00:13:53). The list may be incomplete as not all publishers provide suitable and complete citation data.

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