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

Find this paper interesting or want to discuss? Scite or leave a comment on SciRate.

Abstract

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.

► BibTeX data

► 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.
https:/​/​doi.org/​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.
https:/​/​doi.org/​10.1038/​s41534-017-0018-2
arXiv:1702.03061

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

[4] S. P. Jordan, Quantum algorithm zoo, http:/​/​math.nist.gov/​quantum/​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.
https:/​/​doi.org/​10.1038/​npjqi.2015.23
arXiv:1511.04206

[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.
https:/​/​doi.org/​10.1103/​PhysRevLett.79.325
arXiv:quant-ph/9706033

[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.
https:/​/​doi.org/​10.1137/​S0097539796300933
arXiv:quant-ph/9701001

[8] R. B. Laughlin and D. Pines, The theory of everything, PNAS 97, 28-31 (2000), 10.1073/​pnas.97.1.28.
https:/​/​doi.org/​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.
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.
https:/​/​doi.org/​10.1038/​s41567-018-0124-x
arXiv:1608.00263

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

[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).
arXiv:1710.05867

[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.
https:/​/​doi.org/​10.1103/​PhysRevLett.117.060504
arXiv:1512.04600

[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.
https:/​/​doi.org/​10.1038/​nature13171
arXiv:1402.4848

[16] D. J. Bernstein, J. Buchmann, E. Dahmen, editors, Post-Quantum Cryptography, Springer (2009), 10.1007/​978-3-540-88702-7.
https:/​/​doi.org/​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.
https:/​/​doi.org/​10.1016/​j.tcs.2014.09.018
arXiv:quant-ph/0701168

[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.
https:/​/​doi.org/​10.1038/​srep20463
arXiv:1509.08435

[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.
https:/​/​doi.org/​10.1038/​s41586-018-0019-0
arXiv:1803.06219

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

[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.
https:/​/​doi.org/​10.1103/​RevModPhys.89.035002
arXiv:1611.04691

[22] J. Preskill, Quantum computing and the entanglement frontier, 25th Solvay Conference on Physics (2011), arXiv:1203.5813.
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).
arXiv:1411.4028

[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.
https:/​/​doi.org/​10.1038/​ncomms5213
arXiv:1509.04279

[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.
https:/​/​doi.org/​10.1145/​990308.990310
arXiv:cs/0111050

[27] Y. LeCun, Y. Bengio, and G. Hinton, Deep learning, Nature 521, 436-444 (2015), 10.1038/​nature14539.
https:/​/​doi.org/​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.
https:/​/​doi.org/​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.
https:/​/​doi.org/​10.1088/​2058-9565/​aa7877
arXiv:1703.00622

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

[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.
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.
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.
https:/​/​doi.org/​10.1103/​PhysRevA.94.042318
arXiv:1607.03389

[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).
arXiv:1803.02047

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

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

[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.
https:/​/​doi.org/​10.1038/​nature23474
arXiv:1611.09347

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

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

[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.
https:/​/​doi.org/​10.1103/​PhysRevLett.103.150502
arXiv:0811.3171

[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.
https:/​/​doi.org/​10.1103/​PhysRevLett.110.250504
arXiv:1301.2340

[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.
https:/​/​doi.org/​10.1103/​PhysRevA.93.032324
arXiv:1512.05903

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

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

[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).
arXiv:1609.05537

[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).
arXiv:1710.02581

[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.
https:/​/​doi.org/​10.1073/​pnas.1619152114
arXiv:1605.03590

[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.
https:/​/​doi.org/​10.1103/​PhysRevA.92.062318
arXiv:1506.05135

[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).
arXiv:1706.05413

[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.
https:/​/​doi.org/​10.1038/​nature24622
arXiv:1707.04344

[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.
https:/​/​doi.org/​10.1038/​nature24654
arXiv:1708.01044

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

[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.
https:/​/​doi.org/​10.1103/​PhysRevA.94.052325
arXiv:1512

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

[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.
https:/​/​doi.org/​10.1103/​PhysRevA.86.032324
arXiv:1208.0928

[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.
https:/​/​doi.org/​10.1038/​npjqi.2015.1
arXiv:1501.02813

Cited by

[1] 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).

[2] 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).

[3] 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).

[4] 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).

[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] 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).

[7] 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).

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

[9] 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).

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

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

[12] 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).

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

[14] 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).

[15] 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).

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

[17] 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).

[18] 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).

[19] 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).

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

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

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

[23] 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).

[24] 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).

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

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

[27] 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).

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

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

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

[31] 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).

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

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

[34] 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).

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

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

[37] 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).

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

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

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

[41] 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).

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

[43] 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).

[44] 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).

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

[46] 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).

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

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

[49] 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).

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

[51] 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).

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

[53] 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).

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

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

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

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

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

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

[60] 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).

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

[62] 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).

[63] 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).

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

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

[66] 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).

[67] 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).

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

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

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

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

[72] 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).

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

[74] 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).

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

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

[77] 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).

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

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

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

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

[82] 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).

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

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

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

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

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

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

[89] 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).

[90] 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).

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

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

[93] 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).

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

[95] Dorit Aharonov and Leo Zhou, "Hamiltonian sparsification and gap-simulations", arXiv:1804.11084, (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] Siddhartha Das, "Bipartite Quantum Interactions: Entangling and Information Processing Abilities", arXiv:1901.05895, (2019).

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

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

[100] 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).

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

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

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

[104] 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).

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

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

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

[108] 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).

[109] 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).

[110] 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).

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

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

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

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

[115] 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).

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

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

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

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

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

[121] 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).

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

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

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

[125] Stefano Gandolfi, "Cloud Quantum Computing Tackles Simple Nucleus", Physics Online Journal 11, 51 (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] Michael J. Gullans and David A. Huse, "Dynamical Purification Phase Transition Induced by Quantum Measurements", Physical Review X 10 4, 041020 (2020).

[129] 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).

[130] 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).

[131] 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).

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

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

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

[135] 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).

[136] 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).

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

[138] 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).

[139] 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).

[140] 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).

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

[142] 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).

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

[144] 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).

[145] 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).

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

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

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

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

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

[151] Niklas Mueller, Andrey Tarasov, and Raju Venugopalan, "Deeply inelastic scattering structure functions on a hybrid quantum computer", Physical Review D 102 1, 016007 (2020).

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

[153] 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).

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

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

[156] 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).

[157] 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).

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

[159] 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).

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

[161] 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).

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

[163] 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).

[164] 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).

[165] 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).

[166] 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).

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

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

[169] 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).

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

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

[172] 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).

[173] 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).

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

[175] 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).

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

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

[178] 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).

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

[180] 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).

[181] 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).

[182] 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).

[183] 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).

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

[185] 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).

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

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

[188] 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).

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

[190] 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).

[191] 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).

[192] 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).

[193] 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).

[194] 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).

[195] 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).

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

[197] 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).

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

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

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

[201] 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).

[202] 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).

[203] 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).

[204] 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).

[205] 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).

[206] 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).

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

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

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

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

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

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

[213] 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).

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

[215] 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).

[216] 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).

[217] 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).

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

[219] 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).

[220] 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).

[221] 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).

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

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

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

[225] 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).

[226] 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).

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

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

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

[230] 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).

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

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

[233] 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).

[234] 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).

[235] 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).

[236] 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).

[237] Jelmer J. Renema, "Simulability of Imperfect Gaussian and Superposition Boson Sampling", arXiv:1911.10112, (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] Seung-Woo Lee, Jaewan Kim, and Wonmin Son, "Noise-adaptive test of quantum correlations with quasiprobability functions", Physical Review A 102 1, 012408 (2020).

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

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

[245] 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).

[246] 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).

[247] 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).

[248] 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).

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

[250] 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).

[251] 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).

[252] 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).

[253] 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).

[254] 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).

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

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

[257] 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).

[258] 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).

[259] 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).

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

[261] 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).

[262] 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).

[263] 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).

[264] 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).

[265] 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).

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

[267] 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).

[268] 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).

[269] 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).

[270] 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).

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

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

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

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

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

[276] 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).

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

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

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

[280] 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).

[281] 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).

[282] 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).

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

[284] 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).

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

[286] 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).

[287] 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).

[288] 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).

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

[290] 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).

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

[292] 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).

[293] 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).

[294] 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).

[295] 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).

[296] 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).

[297] 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).

[298] 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).

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

[300] 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).

[301] 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).

[302] 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).

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

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

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

[306] 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).

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

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

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

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

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

[312] 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).

[313] 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).

[314] 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).

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

[316] 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).

[317] 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).

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

[319] 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).

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

[321] 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).

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

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

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

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

[326] 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).

[327] 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).

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

[329] 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).

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

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

[332] 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).

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

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

[335] 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).

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

[337] 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).

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

[339] 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).

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

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

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

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

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

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

[346] 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).

[347] 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).

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

[349] 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).

[350] 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).

[351] 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).

[352] 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).

[353] 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).

[354] 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).

[355] 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).

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

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

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

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

[360] 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).

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

[362] 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).

[363] 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).

[364] 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).

[365] 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).

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

[367] 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).

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

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

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

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

[373] 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).

[374] 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).

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

[376] 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).

[377] 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).

[378] 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).

[379] 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).

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

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

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

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

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

[385] 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).

[386] 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).

[387] 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).

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

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

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

[391] 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).

[392] 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).

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

[394] 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).

[395] 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).

[396] 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).

[397] 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).

[398] 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).

[399] 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).

[400] 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).

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

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

[403] 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).

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

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

[406] 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).

[407] 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).

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

[409] 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).

[410] 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).

[411] 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).

[412] 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).

[413] 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).

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

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

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

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

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

[419] 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).

[420] 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).

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

[422] 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).

[423] 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).

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

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

[426] 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).

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

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

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

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

[431] 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).

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

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

[434] 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).

[435] 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).

[436] 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).

[437] 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).

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

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

[440] 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).

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

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

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

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

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

[446] 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).

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

[448] 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).

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

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

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

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

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

[454] 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).

[455] 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).

[456] 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).

[457] 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).

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

[459] 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).

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

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

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

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

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

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

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

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

[468] 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).

[469] 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).

[470] 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).

[471] 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).

[472] 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).

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

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

[475] 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).

[476] 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).

[477] 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).

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

[479] 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).

[480] 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).

[481] 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).

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

[483] 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).

[484] 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).

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

[486] 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).

[487] 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).

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

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

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

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

[492] 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).

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

[494] 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).

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

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

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

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

[499] 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).

[500] 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).

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

[502] 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).

[503] 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).

[504] 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).

[505] 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).

[506] Naeimeh Mohseni, Peter L. McMahon, and Tim Byrnes, "Ising machines as hardware solvers of combinatorial optimization problems", Nature Reviews Physics 4 6, 363 (2022).

[507] 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).

[508] 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).

[509] 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).

[510] 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).

[511] 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).

[512] Dmitry A. Fedorov, Bo Peng, Niranjan Govind, and Yuri Alexeev, "VQE method: a short survey and recent developments", Materials Theory 6 1, 2 (2022).

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

[514] 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).

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

[516] 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).

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

[518] 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).

[519] 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).

[520] 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).

[521] 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).

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

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

[524] 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).

[525] 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).

[526] 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).

[527] 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).

[528] 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).

[529] 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).

[530] Timothy Proctor, Kenneth Rudinger, Kevin Young, Erik Nielsen, and Robin Blume-Kohout, "Measuring the capabilities of quantum computers", Nature Physics 18 1, 75 (2022).

[531] 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).

[532] 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).

[533] A. Barış Özgüler and Davide Venturelli, "Numerical gate synthesis for quantum heuristics on bosonic quantum processors", Frontiers in Physics 10, 900612 (2022).

[534] 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).

[535] 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).

[536] Arpan Bhattacharyya, Lata Kh. Joshi, and Bhuvanesh Sundar, "Quantum information scrambling: from holography to quantum simulators", European Physical Journal C 82 5, 458 (2022).

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

[538] 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).

[539] 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).

[540] 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).

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

[542] Huo Chen and Daniel A. Lidar, "Hamiltonian open quantum system toolkit", Communications Physics 5 1, 112 (2022).

[543] Dayue Qin, Xiaosi Xu, and Ying Li, "An overview of quantum error mitigation formulas", Chinese Physics B 31 9, 090306 (2022).

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

[545] 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).

[546] 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).

[547] 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).

[548] 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).

[549] 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).

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

[551] 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).

[552] 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).

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

[554] 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).

[555] Elija Perrier, Akram Youssry, and Chris Ferrie, "QDataSet, quantum datasets for machine learning", Scientific Data 9 1, 582 (2022).

[556] 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).

[557] 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).

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

[559] 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).

[560] 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).

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

[562] 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).

[563] 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).

[564] 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).

[565] 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).

[566] 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).

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

[568] 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).

[569] Morten Kjaergaard, "An improved recipe for error detection", Nature Physics 18 1, 7 (2022).

[570] 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).

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

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

[573] 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).

[574] 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).

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

[576] Fong Yew Leong, Wei-Bin Ewe, and Dax Enshan Koh, "Variational quantum evolution equation solver", Scientific Reports 12, 10817 (2022).

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

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

[579] 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).

[580] 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).

[581] 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).

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

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

[584] 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).

[585] R. S. Amal and S. Kannan, "Manifestation of quantum images using unitary matrix encoding", European Physical Journal Plus 137 4, 449 (2022).

[586] Rakesh Kumar Saini, Raman Sehgal, and Sudhir R. Jain, "Protection of qubits by nonlinear resonances", European Physical Journal Plus 137 3, 356 (2022).

[587] 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).

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

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

[590] 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).

[591] 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).

[592] 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).

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

[594] Shweta Sahoo, Utkarsh Azad, and Harjinder Singh, "Quantum phase recognition using quantum tensor networks", European Physical Journal Plus 137 12, 1373 (2022).

[595] 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).

[596] 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).

[597] 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).

[598] 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).

[599] 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).

[600] 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).

[601] 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).

[602] 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).

[603] 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).

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

[605] Hong-Bin Chen, "Effects of symmetry breaking of the structurally-disordered Hamiltonian ensembles on the anisotropic decoherence of qubits", Scientific Reports 12, 2869 (2022).

[606] Junxiang Xiao, Jingwei Wen, Shijie Wei, and Guilu Long, "Reconstructing unknown quantum states using variational layerwise method", Frontiers of Physics 17 5, 51501 (2022).

[607] 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).

[608] Haozhen Situ and Zhimin He, "Using simulated annealing to learn the SDC quantum protocol", European Physical Journal Plus 137 1, 98 (2022).

[609] 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).

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

[611] 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).

[612] 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).

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

[614] Ellis Wilson, Frank Mueller, Lindsay Bassman, and Constin Iancu, "Empirical Evaluation of Circuit Approximations on Noisy Quantum Devices", arXiv:2107.06701, (2021).

[615] You-hang Liu, Zai-dong Qi, and Qiang Liu, "Comparison of the similarity between two quantum images", Scientific Reports 12, 7776 (2022).

[616] 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).

[617] 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).

[618] 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).

[619] 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).

[620] 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).

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

[622] 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).

[623] 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).

[624] Gregory Slepyan and Amir Boag, "Super-operator Linear Equations and their Applications to Quantum Antennas and Quantum Light Scattering", arXiv:2112.09882, (2021).

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

[626] 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).

[627] 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).

[628] 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).

[629] 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).

[630] 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).

[631] 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).

[632] 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).

[633] Valentin Heyraud, Zejian Li, Zakari Denis, Alexandre Le Boité, and Cristiano Ciuti, "Noisy quantum kernel machines", Physical Review A 106 5, 052421 (2022).

[634] 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).

[635] 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).

[636] 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).

[637] 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).

[638] 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).

[639] 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).

[640] Rawad Mezher, James Mills, and Elham Kashefi, "Mitigating errors by quantum verification and postselection", Physical Review A 105 5, 052608 (2022).

[641] 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).

[642] 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).

[643] 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).

[644] 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).

[645] 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).

[646] Andrea Maiani, Morten Kjaergaard, and Constantin Schrade, "Entangling Transmons with Low-Frequency Protected Superconducting Qubits", PRX Quantum 3 3, 030329 (2022).

[647] Mingxia Huo and Ying Li, "Dual-state purification for practical quantum error mitigation", Physical Review A 105 2, 022427 (2022).

[648] 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).

[649] 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).

[650] David S. Schlegel, Fabrizio Minganti, and Vincenzo Savona, "Quantum error correction using squeezed Schrödinger cat states", Physical Review A 106 2, 022431 (2022).

[651] David Headley, Thorge Müller, Ana Martin, Enrique Solano, Mikel Sanz, and Frank K. Wilhelm, "Approximating the quantum approximate optimization algorithm with digital-analog interactions", Physical Review A 106 4, 042446 (2022).

[652] Ammar Jahin, Andy C. Y. Li, Thomas Iadecola, Peter P. Orth, Gabriel N. Perdue, Alexandru Macridin, M. Sohaib Alam, and Norm M. Tubman, "Fermionic approach to variational quantum simulation of Kitaev spin models", Physical Review A 106 2, 022434 (2022).

[653] 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).

[654] 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).

[655] 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).

[656] 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).

[657] 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).

[658] 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).

[659] Muhammad Ahsan, Syed Abbas Zilqurnain Naqvi, and Haider Anwer, "Quantum circuit engineering for correcting coherent noise", Physical Review A 105 2, 022428 (2022).

[660] 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).

[661] Irénée Frérot, Flavio Baccari, and Antonio Acín, "Unveiling Quantum Entanglement in Many-Body Systems from Partial Information", PRX Quantum 3 1, 010342 (2022).

[662] Kaifeng Bu, Dax Enshan Koh, Lu Li, Qingxian Luo, and Yaobo Zhang, "Statistical complexity of quantum circuits", Physical Review A 105 6, 062431 (2022).

[663] 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).

[664] 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).

[665] Adenilton J. da Silva and Daniel K. Park, "Linear-depth quantum circuits for multiqubit controlled gates", Physical Review A 106 4, 042602 (2022).

[666] 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).

[667] 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).

[668] 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).

[669] Maninder Kaur and Araceli Venegas-Gomez, "Defining the quantum workforce landscape: a review of global quantum education initiatives", Optical Engineering 61, 081806 (2022).

[670] 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).

[671] 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).

[672] Yu Pan, Yifan Tong, and Yi Yang, "Automatic depth optimization for a quantum approximate optimization algorithm", Physical Review A 105 3, 032433 (2022).

[673] Senrui Chen, Sisi Zhou, Alireza Seif, and Liang Jiang, "Quantum advantages for Pauli channel estimation", Physical Review A 105 3, 032435 (2022).

[674] Rebecca Hicks, Bryce Kobrin, Christian W. Bauer, and Benjamin Nachman, "Active readout-error mitigation", Physical Review A 105 1, 012419 (2022).

[675] Qinghong Yang and Dong E. Liu, "Effect of quantum error correction on detection-induced coherent errors", Physical Review A 105 2, 022434 (2022).

[676] 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).

[677] 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).

[678] 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).

[679] Mogens Dalgaard, Felix Motzoi, and Jacob Sherson, "Predicting quantum dynamical cost landscapes with deep learning", Physical Review A 105 1, 012402 (2022).

[680] 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).

[681] 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).

[682] 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).

[683] Ho-Joon Kim and Soojoon Lee, "Relation between quantum coherence and quantum entanglement in quantum measurements", Physical Review A 106 2, 022401 (2022).

[684] Gaurav Gyawali and Michael J. Lawler, "Adaptive variational preparation of the Fermi-Hubbard eigenstates", Physical Review A 105 1, 012413 (2022).

[685] 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).

[686] 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).

[687] Eoin Carolan, Anthony Kiely, and Steve Campbell, "Counterdiabatic control in the impulse regime", Physical Review A 105 1, 012605 (2022).

[688] Hiroyuki Tezuka, Kouhei Nakaji, Takahiko Satoh, and Naoki Yamamoto, "Grover search revisited: Application to image pattern matching", Physical Review A 105 3, 032440 (2022).

[689] 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).

[690] Bryan T. Gard and Adam M. Meier, "Classically efficient quantum scalable Fermi-Hubbard benchmark", Physical Review A 105 4, 042602 (2022).

[691] 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).

[692] Bojia Duan and Chang-Yu Hsieh, "Hamiltonian-based data loading with shallow quantum circuits", Physical Review A 106 5, 052422 (2022).

[693] Gabriele Agliardi, Michele Grossi, Mathieu Pellen, and Enrico Prati, "Quantum integration of elementary particle processes", Physics Letters B 832, 137228 (2022).

[694] 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).

[695] 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).

[696] 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).

[697] 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).

[698] 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).

[699] Alessandro Santini and Vittorio Vitale, "Experimental violations of Leggett-Garg inequalities on a quantum computer", Physical Review A 105 3, 032610 (2022).

[700] Evan Peters, Prasanth Shyamsundar, Andy C. Y. Li, and Gabriel Perdue, "Qubit Assignment Using Time Reversal", PRX Quantum 3 4, 040333 (2022).

[701] 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).

[702] 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).

[703] 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).

[704] 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).

[705] 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).

[706] 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).

[707] Kun Fang and Zi-Wen Liu, "No-Go Theorems for Quantum Resource Purification: New Approach and Channel Theory", PRX Quantum 3 1, 010337 (2022).

[708] 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).

[709] 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).

[710] 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).

[711] Fumiyoshi Kobayashi, Kosuke Mitarai, and Keisuke Fujii, "Parent Hamiltonian as a benchmark problem for variational quantum eigensolvers", Physical Review A 105 5, 052415 (2022).

[712] Michael Fellner, Anette Messinger, Kilian Ender, and Wolfgang Lechner, "Applications of universal parity quantum computation", Physical Review A 106 4, 042442 (2022).

[713] 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).

[714] 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).

[715] Cristian L. Cortes, A. Eugene DePrince, and Stephen K. Gray, "Fast-forwarding quantum simulation with real-time quantum Krylov subspace algorithms", Physical Review A 106 4, 042409 (2022).

[716] K. Asnaashari and R. V. Krems, "Quantum annealing with pairs of <SUP>2</SUP>Σ molecules as qubits", Physical Review A 106 2, 022801 (2022).

[717] Francesco Preti, Tommaso Calarco, and Felix Motzoi, "Continuous Quantum Gate Sets and Pulse-Class Meta-Optimization", PRX Quantum 3 4, 040311 (2022).

[718] 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).

[719] 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).

[720] Joel Rajakumar, Jai Moondra, Bryan Gard, Swati Gupta, and Creston D. Herold, "Generating target graph couplings for the quantum approximate optimization algorithm from native quantum hardware couplings", Physical Review A 106 2, 022606 (2022).

[721] 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).

[722] 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).

[723] 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).

[724] Yifeng Rocky Zhu, David Joseph, Cong Ling, and Florian Mintert, "Iterative quantum optimization with an adaptive problem Hamiltonian for the shortest vector problem", Physical Review A 106 2, 022435 (2022).

[725] 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).

[726] Anthony W. Schlimgen, Kade Head-Marsden, LeeAnn M. Sager-Smith, Prineha Narang, and David A. Mazziotti, "Quantum state preparation and nonunitary evolution with diagonal operators", Physical Review A 106 2, 022414 (2022).

[727] 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).

[728] Ohad Shpielberg, "Universal entanglement entropy in the ground state of biased bipartite systems", Physical Review A 106 3, L030401 (2022).

[729] Álvaro Gómez-León, "Multiqudit interactions in molecular spins", Physical Review A 106 2, 022609 (2022).

[730] Ismail Yunus Akhalwaya, Yang-Hui He, Lior Horesh, Vishnu Jejjala, William Kirby, Kugendran Naidoo, and Shashanka Ubaru, "Representation of the fermionic boundary operator", Physical Review A 106 2, 022407 (2022).

[731] Xiaodong Yang, Xinfang Nie, Yunlan Ji, Tao Xin, Dawei Lu, and Jun Li, "Improved quantum computing with higher-order Trotter decomposition", Physical Review A 106 4, 042401 (2022).

[732] Amit Saha, Debasri Saha, and Amlan Chakrabarti, "Moving quantum states without SWAP via intermediate higher-dimensional qudits", Physical Review A 106 1, 012429 (2022).

[733] Li Chen and Yadong Wu, "Learning quantum dissipation by the neural ordinary differential equation", Physical Review A 106 2, 022201 (2022).

[734] 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).

[735] N. Barraza, C. -Y. Pan, L. Lamata, E. Solano, and F. Albarrán-Arriagada, "Adaptive random quantum eigensolver", Physical Review A 105 5, 052406 (2022).

[736] Catherine Keele and Alastair Kay, "Noise-reducing encoding strategies for spin chains", Physical Review A 105 3, 032613 (2022).

[737] 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).

[738] 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).

[739] 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).

[740] 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).

[741] Jian Lin, Zhengfeng Zhang, Junping Zhang, and Xiaopeng Li, "Hard-instance learning for quantum adiabatic prime factorization", Physical Review A 105 6, 062455 (2022).

[742] Shuanping Du and Zhaofang Bai, "Conversion of Gaussian states under incoherent Gaussian operations", Physical Review A 105 2, 022412 (2022).

[743] Oriel Kiss, Michele Grossi, Enrique Kajomovitz, and Sofia Vallecorsa, "Conditional Born machine for Monte Carlo event generation", Physical Review A 106 2, 022612 (2022).

[744] 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).

[745] 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).

[746] 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).

[747] John Drew Wilson, Simon B. Jäger, Jarrod T. Reilly, Athreya Shankar, Maria Luisa Chiofalo, and Murray J. Holland, "Beyond one-axis twisting: Simultaneous spin-momentum squeezing", Physical Review A 106 4, 043711 (2022).

[748] Erik Aurell, Roberto Mulet, and Jan Tuziemski, "Real-time dynamics in diluted quantum networks", Physical Review A 105 2, 022205 (2022).

[749] Aritra Das and Barry C. Sanders, "Blind quantum factorization of 21", Physical Review A 106 1, 012421 (2022).

[750] Yuxuan Zhang, "Straddling-gates problem in multipartite quantum systems", Physical Review A 105 6, 062430 (2022).

[751] 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).

[752] 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).

[753] Jinzhao Sun, Suguru Endo, Huiping Lin, Patrick Hayden, Vlatko Vedral, and Xiao Yuan, "Perturbative Quantum Simulation", Physical Review Letters 129 12, 120505 (2022).

[754] 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).

[755] Zongkang Zhang, Yongdan Yang, Xiaosi Xu, and Ying Li, "Quantum algorithms for Schrieffer-Wolff transformation", Physical Review Research 4 4, 043023 (2022).

[756] 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).

[757] 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).

[758] 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).

[759] 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).

[760] 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).

[761] 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).

[762] Zixin Huang, Gavin K. Brennen, and Yingkai Ouyang, "Imaging Stars with Quantum Error Correction", Physical Review Letters 129 21, 210502 (2022).

[763] 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).

[764] Xhek Turkeshi, "Measurement-induced criticality as a data-structure transition", Physical Review B 106 14, 144313 (2022).

[765] 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).

[766] Maxime Dupont and Joel E. Moore, "Quantum criticality using a superconducting quantum processor", Physical Review B 106 4, L041109 (2022).

[767] Liangliang Fan and Haozhen Situ, "Compact data encoding for data re-uploading quantum classifier", Quantum Information Processing 21 3, 87 (2022).

[768] Hong-Ye Hu and Yi-Zhuang You, "Hamiltonian-driven shadow tomography of quantum states", Physical Review Research 4 1, 013054 (2022).

[769] 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).

[770] Bálint Koczor and Simon C. Benjamin, "Quantum analytic descent", Physical Review Research 4 2, 023017 (2022).

[771] 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).

[772] Michael Krebsbach, Björn Trauzettel, and Alessio Calzona, "Optimization of Richardson extrapolation for quantum error mitigation", Physical Review A 106 6, 062436 (2022).

[773] 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).

[774] 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).

[775] 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).

[776] Aydin Deger, Sthitadhi Roy, and Achilleas Lazarides, "Arresting Classical Many-Body Chaos by Kinetic Constraints", Physical Review Letters 129 16, 160601 (2022).

[777] Joris Kattemölle and Jasper van Wezel, "Variational quantum eigensolver for the Heisenberg antiferromagnet on the kagome lattice", Physical Review B 106 21, 214429 (2022).

[778] Markus Schmitt and Zala Lenarčič, "From observations to complexity of quantum states via unsupervised learning", Physical Review B 106 4, L041110 (2022).

[779] 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).

[780] 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).

[781] 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).

[782] 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).

[783] Taylor L. Patti, Jean Kossaifi, Anima Anandkumar, and Susanne F. Yelin, "Variational quantum optimization with multibasis encodings", Physical Review Research 4 3, 033142 (2022).

[784] 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).

[785] Gregory Boyd and Bálint Koczor, "Training Variational Quantum Circuits with CoVaR: Covariance Root Finding with Classical Shadows", Physical Review X 12 4, 041022 (2022).

[786] Rihito Sakurai, Wataru Mizukami, and Hiroshi Shinaoka, "Hybrid quantum-classical algorithm for computing imaginary-time correlation functions", Physical Review Research 4 2, 023219 (2022).

[787] 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).

[788] 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).

[789] 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).

[790] Lucas Slattery, Benjamin Villalonga, and Bryan K. Clark, "Unitary block optimization for variational quantum algorithms", Physical Review Research 4 2, 023072 (2022).

[791] Tobias Haug and M. S. Kim, "Natural parametrized quantum circuit", Physical Review A 106 5, 052611 (2022).

[792] 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).

[793] 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).

[794] 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).

[795] 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).

[796] 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).

[797] Frédéric Sauvage and Florian Mintert, "Optimal Control of Families of Quantum Gates", Physical Review Letters 129 5, 050507 (2022).

[798] 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).

[799] 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).

[800] 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).

[801] 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).

[802] 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).

[803] Giuseppe Clemente, Arianna Crippa, and Karl Jansen, "Strategies for the determination of the running coupling of (2 +1 )-dimensional QED with quantum computing", Physical Review D 106 11, 114511 (2022).

[804] 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).

[805] Pengyu Liu, Zhenhuan Liu, Shu Chen, and Xiongfeng Ma, "Fundamental Limitation on the Detectability of Entanglement", Physical Review Letters 129 23, 230503 (2022).

[806] 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).

[807] 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).

[808] Philipp Pfeffer, Florian Heyder, and Jörg Schumacher, "Hybrid quantum-classical reservoir computing of thermal convection flow", Physical Review Research 4 3, 033176 (2022).

[809] 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).

[810] 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).

[811] Kazuki Ikeda and Shoto Aoki, "Theory of quantum games and quantum economic behavior", Quantum Information Processing 21 1, 27 (2022).

[812] 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).

[813] Mirko Consiglio, Tony J. G. Apollaro, and Marcin Wieśniak, "Variational approach to the quantum separability problem", Physical Review A 106 6, 062413 (2022).

[814] 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).

[815] 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).

[816] 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).

[817] 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).

[818] 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).

[819] 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).

[820] 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).

[821] 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).

[822] 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).

[823] 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).

[824] 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).

[825] 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).

[826] 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).

[827] 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).

[828] Quancheng Liu, Klaus Ziegler, David A. Kessler, and Eli Barkai, "Driving quantum systems with periodic conditional measurements", Physical Review Research 4 2, 023129 (2022).

[829] Ioannis Kolotouros and Petros Wallden, "Evolving objective function for improved variational quantum optimization", Physical Review Research 4 2, 023225 (2022).

[830] 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).

[831] 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).

[832] 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).

[833] 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).

[834] 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).

[835] Lidia Stocker, Stefan H. Sack, Michael S. Ferguson, and Oded Zilberberg, "Entanglement-based observables for quantum impurities", Physical Review Research 4 4, 043177 (2022).

[836] 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).

[837] 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).

[838] 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).

[839] 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).

[840] 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).

[841] Bin Xu and Wei Xue, "(3 +1 )-dimensional Schwinger pair production with quantum computers", Physical Review D 106 11, 116007 (2022).

[842] 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).

[843] Hersh Singh, "Qubit regularized O (N ) nonlinear sigma models", Physical Review D 105 11, 114509 (2022).

[844] 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).

[845] 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).

[846] 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).

[847] 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).

[848] 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).

[849] Philipp M. Mutter and Guido Burkard, "Fingerprints of Qubit Noise in Transient Cavity Transmission", Physical Review Letters 128 23, 236801 (2022).

[850] 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).

[851] Utkan Güngördü and J. P. Kestner, "Robust quantum gates using smooth pulses and physics-informed neural networks", Physical Review Research 4 2, 023155 (2022).

[852] 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).

[853] Bálint Koczor and Simon C. Benjamin, "Quantum natural gradient generalized to noisy and nonunitary circuits", Physical Review A 106 6, 062416 (2022).

[854] Ian MacCormack, Conor Delaney, Alexey Galda, Nidhi Aggarwal, and Prineha Narang, "Branching quantum convolutional neural networks", Physical Review Research 4 1, 013117 (2022).

[855] 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).

[856] 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).

[857] 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).

[858] 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).

[859] 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).

[860] 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).

[861] Paolo Braccia, Leonardo Banchi, and Filippo Caruso, "Quantum Noise Sensing by Generating Fake Noise", Physical Review Applied 17 2, 024002 (2022).

[862] 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).

[863] En-Jui Kuo and Hossein Dehghani, "Unsupervised learning of interacting topological and symmetry-breaking phase transitions", Physical Review B 105 23, 235136 (2022).

[864] 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).

[865] 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).

[866] Zhi-Cheng Yang, "Distinction between transport and Rényi entropy growth in kinetically constrained models", Physical Review B 106 22, L220303 (2022).

[867] 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).

[868] 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).

[869] 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).

[870] 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).

[871] 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).

[872] 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).

[873] 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).

[874] 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).

[875] 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).

[876] 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).

[877] 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).

[878] 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).

[879] 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).

[880] Andrea Skolik, Sofiene Jerbi, and Vedran Dunjko, "Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning", Quantum 6, 720 (2022).

[881] Fabian Kreppel, Christian Melzer, Janis Wagner, Janine Hilder, Ulrich Poschinger, Ferdinand Schmidt-Kaler, and André Brinkmann, "Quantum Circuit Compiler for a Shuttling-Based Trapped-Ion Quantum Computer", arXiv:2207.01964, (2022).

[882] 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).

[883] 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).

[884] 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).

[885] 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).

[886] Jonah Kudler-Flam, Ramanjit Sohal, and Laimei Nie, "Information Scrambling with Conservation Laws", SciPost Physics 12 4, 117 (2022).

[887] Steven Herbert, "Quantum Monte Carlo Integration: The Full Advantage in Minimal Circuit Depth", Quantum 6, 823 (2022).

[888] 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).

[889] Paul K. Faehrmann, Mark Steudtner, Richard Kueng, Maria Kieferova, and Jens Eisert, "Randomizing multi-product formulas for Hamiltonian simulation", Quantum 6, 806 (2022).

[890] Elijah Pelofske, Andreas Bärtschi, and Stephan Eidenbenz, "Quantum Volume in Practice: What Users Can Expect from NISQ Devices", arXiv:2203.03816, (2022).

[891] 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).

[892] Jonathan Wurtz and Peter J. Love, "Counterdiabaticity and the quantum approximate optimization algorithm", Quantum 6, 635 (2022).

[893] Troy J. Sewell, Christopher David White, and Brian Swingle, "Thermal Multi-scale Entanglement Renormalization Ansatz for Variational Gibbs State Preparation", arXiv:2210.16419, (2022).

[894] Siddharth Dangwal, Ritvik Sharma, and Debanjan Bhowmik, "Fast-QTrain: an algorithm for fast training of variational classifiers", Quantum Information Processing 21 5, 189 (2022).

[895] Salvatore F. E. Oliviero, Lorenzo Leone, Alioscia Hamma, and Seth Lloyd, "Measuring magic on a quantum processor", npj Quantum Information 8, 148 (2022).

[896] Daniel Gottesman, "Opportunities and Challenges in Fault-Tolerant Quantum Computation", arXiv:2210.15844, (2022).

[897] Sven Jandura and Guido Pupillo, "Time-Optimal Two- and Three-Qubit Gates for Rydberg Atoms", Quantum 6, 712 (2022).

[898] 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).

[899] 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).

[900] 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).

[901] 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).

[902] Tobias Schmale, Moritz Reh, and Martin Gärttner, "Efficient quantum state tomography with convolutional neural networks", npj Quantum Information 8, 115 (2022).

[903] 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).

[904] Christophe Piveteau, David Sutter, and Stefan Woerner, "Quasiprobability decompositions with reduced sampling overhead", npj Quantum Information 8, 12 (2022).

[905] 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).

[906] Hao-Kai Zhang, Chengkai Zhu, Geng Liu, and Xin Wang, "Fundamental limitations on optimization in variational quantum algorithms", arXiv:2205.05056, (2022).

[907] 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).

[908] Yeonghun Lee, "Symmetric Trotterization in digital quantum simulation of quantum spin dynamics", Journal of Korean Physical Society 82 5, 479 (2023).

[909] Dmitry A. Fedorov, Yuri Alexeev, Stephen K. Gray, and Matthew Otten, "Unitary Selective Coupled-Cluster Method", Quantum 6, 703 (2022).

[910] Zhenning Liu and Alexandru Gheorghiu, "Depth-efficient proofs of quantumness", Quantum 6, 807 (2022).

[911] Nishant Jain, Brian Coyle, Elham Kashefi, and Niraj Kumar, "Graph neural network initialisation of quantum approximate optimisation", Quantum 6, 861 (2022).

[912] Ramin Ayanzadeh, Narges Alavisamani, Poulami Das, and Moinuddin Qureshi, "FrozenQubits: Boosting Fidelity of QAOA by Skipping Hotspot Nodes", arXiv:2210.17037, (2022).

[913] Shuvro Chowdhury, Kerem Y. Camsari, and Supriyo Datta, "Accelerated quantum Monte Carlo with probabilistic computers", Communications Physics 6 1, 85 (2023).

[914] Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, and Dacheng Tao, "Symmetric Pruning in Quantum Neural Networks", arXiv:2208.14057, (2022).

[915] 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).

[916] 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).

[917] Daniel Huerga, "Variational Quantum Simulation of Valence-Bond Solids", Quantum 6, 874 (2022).

[918] 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).

[919] Yuki Takeuchi, Yasuhiro Takahashi, Tomoyuki Morimae, and Seiichiro Tani, "Divide-and-conquer verification method for noisy intermediate-scale quantum computation", Quantum 6, 758 (2022).

[920] Youle Wang, Benchi Zhao, and Xin Wang, "Quantum algorithms for estimating quantum entropies", arXiv:2203.02386, (2022).

[921] Tudor Giurgica-Tiron, Iordanis Kerenidis, Farrokh Labib, Anupam Prakash, and William Zeng, "Low depth algorithms for quantum amplitude estimation", Quantum 6, 745 (2022).

[922] 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).

[923] Tyson Jones and Simon C. Benjamin, "Robust quantum compilation and circuit optimisation via energy minimisation", Quantum 6, 628 (2022).

[924] 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).

[925] M. Cerezo, Kunal Sharma, Andrew Arrasmith, and Patrick J. Coles, "Variational quantum state eigensolver", npj Quantum Information 8, 113 (2022).

[926] 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).

[927] Matteo Ippoliti, Yaodong Li, Tibor Rakovszky, and Vedika Khemani, "Operator relaxation and the optimal depth of classical shadows", arXiv:2212.11963, (2022).

[928] Bingzhi Zhang, Akira Sone, and Quntao Zhuang, "Quantum computational phase transition in combinatorial problems", npj Quantum Information 8, 87 (2022).

[929] Gabriele Cenedese, Giuliano Benenti, and Maria Bondani, "Correcting Coherent Errors by Random Operation on Actual Quantum Hardware", Entropy 25 2, 324 (2023).

[930] 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).

[931] Basudha Srivastava, Anton Frisk Kockum, and Mats Granath, "The XYZ2 hexagonal stabilizer code", Quantum 6, 698 (2022).

[932] Zixuan Hu and Sabre Kais, "The unitary dependence theory for characterizing quantum circuits and states", Communications Physics 6 1, 68 (2023).

[933] Stavros Efthymiou, Marco Lazzarin, Andrea Pasquale, and Stefano Carrazza, "Quantum simulation with just-in-time compilation", Quantum 6, 814 (2022).

[934] 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).

[935] Hang Jing, Ye Wang, and Yan Li, "Data-driven quantum approximate optimization algorithm for power systems", Communications Engineering 2 1, 12 (2023).

[936] Dax Enshan Koh and Sabee Grewal, "Classical Shadows With Noise", Quantum 6, 776 (2022).

[937] Luciano Pereira, Leonardo Zambrano, and Aldo Delgado, "Scalable estimation of pure multi-qubit states", npj Quantum Information 8, 57 (2022).

[938] Gabriele Cenedese, Maria Bondani, Dario Rosa, and Giuliano Benenti, "Generation of Pseudo-Random Quantum States on Actual Quantum Processors", Entropy 25 4, 607 (2023).

[939] Louis Schatzki, Guangkuo Liu, M. Cerezo, and Eric Chitambar, "A Hierarchy of Multipartite Correlations Based on Concentratable Entanglement", arXiv:2209.07607, (2022).

[940] 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).

[941] 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).

[942] Bernhard Irsigler and Tobias Grass, "The quantum annealing gap and quench dynamics in the exact cover problem", Quantum 6, 624 (2022).

[943] Xinyi Chen, Elad Hazan, Tongyang Li, Zhou Lu, Xinzhao Wang, and Rui Yang, "Adaptive Online Learning of Quantum States", arXiv:2206.00220, (2022).

[944] Stefano Markidis, "Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies", Entropy 25 4, 694 (2023).

[945] Lennart Bittel, Jens Watty, and Martin Kliesch, "Fast gradient estimation for variational quantum algorithms", arXiv:2210.06484, (2022).

[946] 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).

[947] Hiroshi Ohno, "Boosting for quantum weak learners", Quantum Information Processing 21 6, 199 (2022).

[948] Finn Voichick, Liyi Li, Robert Rand, and Michael Hicks, "Qunity: A Unified Language for Quantum and Classical Computing (Extended Version)", arXiv:2204.12384, (2022).

[949] Marco Maronese, Claudio Destri, and Enrico Prati, "Quantum activation functions for quantum neural networks", Quantum Information Processing 21 4, 128 (2022).

[950] Poulami Das, Suhas K. Vittal, and Moinuddin Qureshi, "ForeSight: Reducing SWAPs in NISQ Programs via Adaptive Multi-Candidate Evaluations", arXiv:2204.13142, (2022).

[951] Stefano Polla, Gian-Luca R. Anselmetti, and Thomas E. O'Brien, "Optimizing the information extracted by a single qubit measurement", arXiv:2207.09479, (2022).

[952] Karen Wintersperger, Hila Safi, and Wolfgang Mauerer, "QPU-System Co-Design for Quantum HPC Accelerators", arXiv:2208.11449, (2022).

[953] 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).

[954] S. Hasibul Hassan Chowdhury, Talal Ahmed Chowdhury, Salah Nasri, Omar Ibna Nazim, and Shaikh Saad, "Quantum simulation of quantum mechanical system with spatial noncommutativity", arXiv:2211.08338, (2022).

[955] Yifan Zhou, Peng Zhang, and Fei Feng, "Noisy-Intermediate-Scale Quantum Electromagnetic Transients Program", IEEE Transactions on Power Systems 38 2, 1558 (2023).

[956] Raoul Heese, Patricia Bickert, and Astrid Elisa Niederle, "Representation of binary classification trees with binary features by quantum circuits", Quantum 6, 676 (2022).

[957] Tinggui Zhang, Naihuan Jing, and Shao-Ming Fei, "Quantum separability criteria based on realignment moments", Quantum Information Processing 21 8, 276 (2022).

[958] Xiaoqin Gao, Paul Appel, Nicolai Friis, Martin Ringbauer, and Marcus Huber, "On the role of entanglement in qudit-based circuit compression", arXiv:2209.14584, (2022).

[959] 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).

[960] 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).

[961] David A. Herrera-Martí, "Policy Gradient Approach to Compilation of Variational Quantum Circuits", Quantum 6, 797 (2022).

[962] 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).

[963] Jannes Nys and Giuseppe Carleo, "Variational solutions to fermion-to-qubit mappings in two spatial dimensions", Quantum 6, 833 (2022).

[964] 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).

[965] Casper Gyurik, Chris Cade, and Vedran Dunjko, "Towards quantum advantage via topological data analysis", Quantum 6, 855 (2022).

[966] 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).

[967] 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).

[968] 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).

[969] András Gilyén, Zhao Song, and Ewin Tang, "An improved quantum-inspired algorithm for linear regression", Quantum 6, 754 (2022).

[970] Le Bin Ho, "Stochastic approach for quantum metrology with generic Hamiltonians", arXiv:2204.01055, (2022).

[971] Ruho Kondo, Yuki Sato, Satoshi Koide, Seiji Kajita, and Hideki Takamatsu, "Computationally Efficient Quantum Expectation with Extended Bell Measurements", Quantum 6, 688 (2022).

[972] 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).

[973] Bin-Lin Chen and Dan-Bo Zhang, "Variational Quantum Eigensolver with Mutual Variance-Hamiltonian Optimization", Chinese Physics Letters 40 1, 010303 (2023).

[974] 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).

[975] 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).

[976] 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).

[977] 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).

[978] 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).

[979] 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).

[980] Weiyuan Gong, Chenyi Zhang, and Tongyang Li, "Robustness of Quantum Algorithms for Nonconvex Optimization", arXiv:2212.02548, (2022).

[981] 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).

[982] 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).

[983] 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).

[984] Lea Kopf and Markus Hiekkamäki, "Endless fun in high dimensions-A quantum card game", American Journal of Physics 91 6, 458 (2023).

[985] 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).

[986] 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).

[987] Alexander Engelsberger and Thomas Villmann, "Quantum Computing Approaches for Vector Quantization—Current Perspectives and Developments", Entropy 25 3, 540 (2023).

[988] 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).

[989] Simon Martiel and Timothée Goubault de Brugière, "Architecture aware compilation of quantum circuits via lazy synthesis", Quantum 6, 729 (2022).

[990] 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).

[991] 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).

[992] 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).

[993] 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).

[994] 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).

[995] 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).

[996] Greg Bowen and Simon Devitt, "Q2Graph: a modelling tool for measurement-based quantum computing", arXiv:2210.00657, (2022).

[997] Xingrui Song and Kater Murch, "Parity-time symmetric holographic principle", arXiv:2210.01128, (2022).

[998] 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).

[999] 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).

[1000] 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).

[1001] 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).

[1002] 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).

[1003] 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).

[1004] Rong-Yang Sun, Tomonori Shirakawa, and Seiji Yunoki, "Parametrized quantum circuit for weight-adjustable quantum loop gas", Physical Review B 107 4, L041109 (2023).

[1005] 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).

[1006] 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).

[1007] Maurits S. J. Tepaske and David J. Luitz, "Compressed quantum error mitigation", Physical Review B 107 20, L201114 (2023).

[1008] Piotr Sierant and Xhek Turkeshi, "Controlling Entanglement at Absorbing State Phase Transitions in Random Circuits", Physical Review Letters 130 12, 120402 (2023).

[1009] 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).

[1010] 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).

[1011] 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).

[1012] 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).

[1013] 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).

[1014] 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).

[1015] 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).

[1016] Tobias Haug and M. S. Kim, "Scalable Measures of Magic Resource for Quantum Computers", PRX Quantum 4 1, 010301 (2023).

[1017] 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).

[1018] 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).

[1019] 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).

[1020] 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).

[1021] 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).

[1022] 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).

[1023] 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).

[1024] 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).

[1025] Bibek Pokharel and Daniel A. Lidar, "Demonstration of Algorithmic Quantum Speedup", Physical Review Letters 130 21, 210602 (2023).

[1026] Alvin Gonzales, Ruslan Shaydulin, Zain H. Saleem, and Martin Suchara, "Quantum error mitigation by Pauli check sandwiching", Scientific Reports 13, 2122 (2023).

[1027] 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).

[1028] 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).

[1029] 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).

[1030] Siheon Park, Daniel K. Park, and June-Koo Kevin Rhee, "Variational quantum approximate support vector machine with inference transfer", Scientific Reports 13, 3288 (2023).

[1031] Zhi Li, Shengqi Sang, and Timothy H. Hsieh, "Entanglement dynamics of noisy random circuits", Physical Review B 107 1, 014307 (2023).

[1032] 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).

[1033] Mario Krenn, Jonas Landgraf, Thomas Foesel, and Florian Marquardt, "Artificial intelligence and machine learning for quantum technologies", Physical Review A 107 1, 010101 (2023).

[1034] Kai Luo, Wenhui Huang, Ziyu Tao, Libo Zhang, Yuxuan Zhou, Ji Chu, Wuxin Liu, Biying Wang, Jiangyu Cui, Song Liu, Fei Yan, Man-Hong Yung, Yuanzhen Chen, Tongxing Yan, and Dapeng Yu, "Experimental Realization of Two Qutrits Gate with Tunable Coupling in Superconducting Circuits", Physical Review Letters 130 3, 030603 (2023).

[1035] 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).

[1036] 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).

[1037] Alexander O. Sushkov, "Quantum Science and the Search for Axion Dark Matter", PRX Quantum 4 2, 020101 (2023).

[1038] 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).

[1039] 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).

[1040] 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).

[1041] 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).

[1042] S. Shin, Y. S. Teo, and H. Jeong, "Exponential data encoding for quantum supervised learning", Physical Review A 107 1, 012422 (2023).

[1043] 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).

[1044] 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).

[1045] 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).

[1046] Stanisław Kurdziałek and Rafał Demkowicz-Dobrzański, "Measurement Noise Susceptibility in Quantum Estimation", Physical Review Letters 130 16, 160802 (2023).

[1047] 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).

[1048] 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).

[1049] Takuya Okuda, "Schwinger model on an interval: Analytic results and DMRG", Physical Review D 107 5, 054506 (2023).

[1050] 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).

[1051] 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).

[1052] Ryan Shaffer, Lucas Kocia, and Mohan Sarovar, "Surrogate-based optimization for variational quantum algorithms", Physical Review A 107 3, 032415 (2023).

[1053] Shahnawaz Ahmed, Fernando Quijandría, and Anton Frisk Kockum, "Gradient-Descent Quantum Process Tomography by Learning Kraus Operators", Physical Review Letters 130 15, 150402 (2023).

[1054] 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).

[1055] 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).

[1056] 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).

[1057] 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).

[1058] 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).

[1059] 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).

[1060] 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).

[1061] Gunhee Park, Joonsuk Huh, and Daniel K. Park, "Variational quantum one-class classifier", Machine Learning: Science and Technology 4 1, 015006 (2023).

[1062] 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).

[1063] 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).

[1064] Joris Kattemölle and Guido Burkard, "Ability of error correlations to improve the performance of variational quantum algorithms", Physical Review A 107 4, 042426 (2023).

[1065] 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).

[1066] 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).

[1067] 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).

[1068] 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).

[1069] 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).

[1070] 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).

[1071] Balázs Gulácsi and Guido Burkard, "Signatures of non-Markovianity of a superconducting qubit", Physical Review B 107 17, 174511 (2023).

[1072] 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).

[1073] D. V. Babukhin, "Harrow-Hassidim-Lloyd algorithm without ancilla postselection", Physical Review A 107 4, 042408 (2023).

[1074] 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).

[1075] Senrui Chen, Yunchao Liu, Matthew Otten, Alireza Seif, Bill Fefferman, and Liang Jiang, "The learnability of Pauli noise", Nature Communications 14, 52 (2023).

[1076] 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).

[1077] 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).

[1078] Zachary Morrell, Marc Vuffray, Andrey Y. Lokhov, Andreas Bärtschi, Tameem Albash, and Carleton Coffrin, "Signatures of Open and Noisy Quantum Systems in Single-Qubit Quantum Annealing", Physical Review Applied 19 3, 034053 (2023).

[1079] 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).

[1080] 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).

[1081] 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).

[1082] Vu Tuan Hai and Le Bin Ho, "Universal compilation for quantum state tomography", Scientific Reports 13, 3750 (2023).

[1083] 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).

[1084] P. Mironowicz, "Entangled rendezvous: a possible application of Bell non-locality for mobile agents on networks", New Journal of Physics 25 1, 013023 (2023).

[1085] Teppei Suzuki, Tsubasa Miyazaki, Toshiki Inaritai, and Takahiro Otsuka, "Quantum AI simulator using a hybrid CPU-FPGA approach", Scientific Reports 13, 7735 (2023).

[1086] 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).

[1087] 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).

[1088] Tailong Xiao, Jingzheng Huang, Hongjing Li, Jianping Fan, and Guihua Zeng, "Quantum generative adversarial imitation learning", New Journal of Physics 25 3, 033034 (2023).

[1089] 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).

[1090] 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).

[1091] 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).

[1092] Y. S. Teo, "Optimized numerical gradient and Hessian estimation for variational quantum algorithms", Physical Review A 107 4, 042421 (2023).

[1093] 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).

[1094] 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).

[1095] 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).

[1096] 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).

[1097] Yuchen Luo and Xiaopeng Li, "Effect of quantum statistics on computational power of atomic quantum annealers", Physical Review A 107 1, 012608 (2023).

[1098] Philipp M. Mutter and Guido Burkard, "Theory of qubit noise characterization using the long-time cavity transmission", Physical Review A 107 2, 022601 (2023).

[1099] Jiaan Qi, Xiansong Xu, Dario Poletti, and Hui Khoon Ng, "Efficacy of noisy dynamical decoupling", Physical Review A 107 3, 032615 (2023).

[1100] 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).

[1101] 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).

[1102] 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).

[1103] 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).

[1104] 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).

[1105] 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).

[1106] William M. Watkins, Samuel Yen-Chi Chen, and Shinjae Yoo, "Quantum machine learning with differential privacy", Scientific Reports 13, 2453 (2023).

[1107] 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).

[1108] 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).

[1109] Philipp M. Mutter and Guido Burkard, "Transmission-based noise spectroscopy for quadratic qubit-resonator interactions", Physical Review A 107 5, 052603 (2023).

[1110] Edgar Andres Ruiz Guzman and Denis Lacroix, "Restoring broken symmetries using quantum search "oracles"", Physical Review C 107 3, 034310 (2023).

[1111] Zixuan Hu and Sabre Kais, "Characterizing quantum circuits with qubit functional configurations", Scientific Reports 13, 5539 (2023).

[1112] Hideaki Kawaguchi, "Application of quantum computing to a linear non-Gaussian acyclic model for novel medical knowledge discovery", PLoS ONE 18 4, e0283933 (2023).

[1113] HeeBong Yang and Na Young Kim, "Material-Inherent Noise Sources in Quantum Information Architecture", Materials 16 7, 2561 (2023).

[1114] Rajni Bala, Sooryansh Asthana, and V. Ravishankar, "Combating errors in quantum communication: an integrated approach", Scientific Reports 13, 2979 (2023).

[1115] Teiko Heinosaari, Daniel Reitzner, and Alessandro Toigo, "Anticipative measurements in hybrid quantum-classical computation", Physical Review A 107 3, 032612 (2023).

[1116] 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).

[1117] Mostafa Motamedifar, Fatemeh Sadeghi, and Mojtaba Golshani, "Entanglement transmission due to the Dzyaloshinskii-Moriya interaction", Scientific Reports 13, 2932 (2023).

[1118] 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).

[1119] Stefano Marano and Moe Z. Win, "Distributing quantum states with finite lifetime", Physical Review A 107 5, 052413 (2023).

[1120] Mohamad Niknam, Robert N. Schwartz, and Louis-S. Bouchard, "Quantum gates between mesoscopic spin ensembles", Physical Review A 107 3, 032601 (2023).

[1121] 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).

[1122] 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).

[1123] Ufuk Korkmaz and Deniz Türkpençe, "Quantum collisional classifier driven by information reservoirs", Physical Review A 107 1, 012432 (2023).

[1124] 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).

[1125] 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).

[1126] 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).

[1127] Enrique Cervero Martín, Kirill Plekhanov, and Michael Lubasch, "Barren plateaus in quantum tensor network optimization", Quantum 7, 974 (2023).

[1128] 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).

[1129] 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).

[1130] David Jaz Myers, Hisham Sati, and Urs Schreiber, "Topological Quantum Gates in Homotopy Type Theory", arXiv:2303.02382, (2023).

[1131] 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).

[1132] 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).

[1133] Kouhei Nakaji, Suguru Endo, Yuichiro Matsuzaki, and Hideaki Hakoshima, "Measurement optimization of variational quantum simulation by classical shadow and derandomization", Quantum 7, 995 (2023).

[1134] 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).

[1135] Hiroki Sukeno and Takuya Okuda, "Measurement-based quantum simulation of Abelian lattice gauge theories", SciPost Physics 14 5, 129 (2023).

[1136] Ruochen Ma, "Exploring critical systems under measurements and decoherence via Keldysh field theory", arXiv:2304.08277, (2023).

[1137] Thomas Ayral, Pauline Besserve, Denis Lacroix, and Edgar Andres Ruiz Guzman, "Quantum computing with and for many-body physics", arXiv:2303.04850, (2023).

[1138] Kaixiang Su, Nayan Myerson-Jain, Chong Wang, Chao-Ming Jian, and Cenke Xu, "Higher-form Symmetries under Weak Measurement", arXiv:2304.14433, (2023).

[1139] 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).

[1140] 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).

[1141] 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).

[1142] 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).

[1143] Jonas Richter, Oliver Lunt, and Arijeet Pal, "Transport and entanglement growth in long-range random Clifford circuits", Physical Review Research 5 1, L012031 (2023).

[1144] 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).

[1145] 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).

[1146] Ariel Shlosberg, Andrew J. Jena, Priyanka Mukhopadhyay, Jan F. Haase, Felix Leditzky, and Luca Dellantonio, "Adaptive estimation of quantum observables", Quantum 7, 906 (2023).

[1147] James Mills, Debasis Sadhukhan, and Elham Kashefi, "Simplifying errors by symmetry and randomisation", arXiv:2303.02712, (2023).

[1148] 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).

[1149] Shraddha Mishra and Chi-Yi Tsai, "QSurfNet: a hybrid quantum convolutional neural network for surface defect recognition", Quantum Information Processing 22 5, 179 (2023).

[1150] 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).

[1151] 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).

[1152] 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).

[1153] 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).

[1154] 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).

[1155] 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).

[1156] Kosuke Ito, Wataru Mizukami, and Keisuke Fujii, "Universal noise-precision relations in variational quantum algorithms", Physical Review Research 5 2, 023025 (2023).

[1157] 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).

[1158] 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).

[1159] 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).

[1160] Martin Rymarz and David P. DiVincenzo, "Consistent Quantization of Nearly Singular Superconducting Circuits", Physical Review X 13 2, 021017 (2023).

[1161] Lorenzo Buffoni and Michele Campisi, "Cooperative quantum information erasure", Quantum 7, 961 (2023).

[1162] 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).

[1163] Justyna P. Zwolak and Jacob M. Taylor, "Colloquium: Advances in automation of quantum dot devices control", Reviews of Modern Physics 95 1, 011006 (2023).

[1164] Philip Taranto, Thomas J. Elliott, and Simon Milz, "Hidden Quantum Memory: Is Memory There When Somebody Looks?", Quantum 7, 991 (2023).

[1165] 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).

[1166] Chufan Lyu, Xusheng Xu, Man-Hong Yung, and Abolfazl Bayat, "Symmetry enhanced variational quantum spin eigensolver", Quantum 7, 899 (2023).

[1167] Hiroshi Ohno, "Quantum Bayesian inference for parameter estimation using quantum generative model", Quantum Information Processing 22 1, 52 (2023).

[1168] 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).

[1169] Robert de Keijzer, Oliver Tse, and Servaas Kokkelmans, "Pulse based Variational Quantum Optimal Control for hybrid quantum computing", Quantum 7, 908 (2023).

[1170] Pavel Kos and Georgios Styliaris, "Circuits of space and time quantum channels", Quantum 7, 1020 (2023).

[1171] 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).

[1172] Guillaume Dauphinais, David W. Kribs, and Michael Vasmer, "Stabilizer Formalism for Operator Algebra Quantum Error Correction", arXiv:2304.11442, (2023).

[1173] Erfan Abedi, Salman Beigi, and Leila Taghavi, "Quantum Lazy Training", Quantum 7, 989 (2023).

[1174] 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).

[1175] 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).

[1176] Xuanqiang Zhao, Benchi Zhao, Zihan Xia, and Xin Wang, "Information recoverability of noisy quantum states", Quantum 7, 978 (2023).

[1177] 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).

[1178] 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).

[1179] Elijah Pelofske, Georg Hahn, and Hristo N. Djidjev, "Solving larger maximum clique problems using parallel quantum annealing", Quantum Information Processing 22 5, 219 (2023).

[1180] 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).

[1181] Faraj 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).

[1182] Elijah Pelofske, "Mapping state transition susceptibility in quantum annealing", Physical Review Research 5 1, 013224 (2023).

[1183] P. V. Sriluckshmy, Vicente Pina-Canelles, Mario Ponce, Manuel G. Algaba, Fedor Šimkovic, and Martin Leib, "Optimal, hardware native decomposition of parameterized multi-qubit Pauli gates", arXiv:2303.04498, (2023).

[1184] Kazuki Ikeda, "Quantum extensive-form games", Quantum Information Processing 22 1, 66 (2023).

[1185] 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).

[1186] Gabriel Matos, Chris N. Self, Zlatko Papić, Konstantinos Meichanetzidis, and Henrik Dreyer, "Characterization of variational quantum algorithms using free fermions", Quantum 7, 966 (2023).

[1187] Niels Gleinig, Tobias Rohner, and Torsten Hoefler, "Approximate Reversible Circuits for NISQ-Era Quantum Computers", arXiv:2302.01066, (2023).

[1188] Carla Rodríguez, Dario Rosa, and Jan Olle, "AI-discovery of a new charging protocol in a micromaser quantum battery", arXiv:2301.09408, (2023).

[1189] 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).

[1190] 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).

[1191] Piotr Dulian and Adam Sawicki, "Matrix concentration inequalities and efficiency of random universal sets of quantum gates", Quantum 7, 983 (2023).

[1192] Stefano Martina, Stefano Gherardini, and Filippo Caruso, "Machine learning classification of non-Markovian noise disturbing quantum dynamics", Physica Scripta 98 3, 035104 (2023).

[1193] Finn Lasse Buessen, Dvira Segal, and Ilia Khait, "Simulating time evolution on distributed quantum computers", Physical Review Research 5 2, L022003 (2023).

[1194] Nikita A. Nemkov, Evgeniy O. Kiktenko, and Aleksey K. Fedorov, "Fourier expansion in variational quantum algorithms", arXiv:2304.03787, (2023).

[1195] 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).

[1196] Mark-Oliver Wolf, Tom Ewen, and Ivica Turkalj, "Automated Function Implementation via Conditional Parameterized Quantum Circuits with Applications to Finance", arXiv:2304.08793, (2023).

[1197] Waldemir Cambiucci, Regina Melo Silveira, and Wilson Vicente Ruggiero, "Hypergraphic partitioning of quantum circuits for distributed quantum computing", arXiv:2301.05759, (2023).

[1198] 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).

[1199] Fernando A. Calderon-Vargas, Timothy Proctor, Kenneth Rudinger, and Mohan Sarovar, "Quantum circuit debugging and sensitivity analysis via local inversions", Quantum 7, 921 (2023).

[1200] 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).

[1201] 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).

[1202] Caroline E. P. Robin and Martin J. Savage, "Quantum Simulations in Effective Model Spaces (I): Hamiltonian Learning-VQE using Digital Quantum Computers and Application to the Lipkin-Meshkov-Glick Model", arXiv:2301.05976, (2023).

[1203] 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).

[1204] Bruno Senjean, Saad Yalouz, and Matthieu Saubanère, "Toward density functional theory on quantum computers?", SciPost Physics 14 3, 055 (2023).

[1205] 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).

[1206] Oriel Kiss, Michele Grossi, and Alessandro Roggero, "Importance sampling for stochastic quantum simulations", Quantum 7, 977 (2023).

[1207] 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).

[1208] 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).

[1209] Victoria J. Wright and Ravi Kunjwal, "Contextuality in composite systems: the role of entanglement in the Kochen-Specker theorem", Quantum 7, 900 (2023).

[1210] 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).

[1211] Michael Fellner, Kilian Ender, Roeland ter Hoeven, and Wolfgang Lechner, "Parity Quantum Optimization: Benchmarks", Quantum 7, 952 (2023).

[1212] Gilchan Park, Kun Zhang, Kwangmin Yu, and Vladimir Korepin, "Quantum multi-programming for Grover's search", Quantum Information Processing 22 1, 54 (2023).

[1213] Hiroshi Ohno, "A direct error correction method for quantum machine learning", Quantum Information Processing 22 2, 119 (2023).

[1214] Bujiao Wu, Jinzhao Sun, Qi Huang, and Xiao Yuan, "Overlapped grouping measurement: A unified framework for measuring quantum states", Quantum 7, 896 (2023).

[1215] Christian Carisch and Oded Zilberberg, "Efficient separation of quantum from classical correlations for mixed states with a fixed charge", Quantum 7, 954 (2023).

[1216] Denis Stanev, Nicolò Spagnolo, and Fabio Sciarrino, "Deterministic optimal quantum cloning via a quantum-optical neural network", Physical Review Research 5 1, 013139 (2023).

[1217] 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).

[1218] 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).

[1219] Matt Menickelly, Yunsoo Ha, and Matthew Otten, "Latency considerations for stochastic optimizers in variational quantum algorithms", Quantum 7, 949 (2023).

[1220] Ryan Kim, "Implementing a Hybrid Quantum-Classical Neural Network by Utilizing a Variational Quantum Circuit for Detection of Dementia", arXiv:2301.12505, (2023).

[1221] Davide Rattacaso, Gianluca Passarelli, and Procolo Lucignano, "High-accuracy Hamiltonian learning via delocalized quantum state evolutions", Quantum 7, 905 (2023).

[1222] Pedro Ripper, Gustavo Amaral, and Guilherme Temporão, "Swap Test-based characterization of decoherence in universal quantum computers", Quantum Information Processing 22 5, 220 (2023).

[1223] Alexander Gresch and Martin Kliesch, "Guaranteed efficient energy estimation of quantum many-body Hamiltonians using ShadowGrouping", arXiv:2301.03385, (2023).

[1224] Siyuan Niu and Aida Todri-Sanial, "Enabling Multi-programming Mechanism for Quantum Computing in the NISQ Era", Quantum 7, 925 (2023).

[1225] Conrad Strydom and Mark Tame, "Measurement-based interleaved randomised benchmarking using IBM processors", Physica Scripta 98 2, 025106 (2023).

[1226] 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).

[1227] Kilian Ender, Roeland ter Hoeven, Benjamin E. Niehoff, Maike Drieb-Schön, and Wolfgang Lechner, "Parity Quantum Optimization: Compiler", Quantum 7, 950 (2023).

[1228] Casper Gyurik, van Vreumingen, and Vedran Dunjko, "Structural risk minimization for quantum linear classifiers", Quantum 7, 893 (2023).

[1229] 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).

[1230] 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).

[1231] Niels M. P. Neumann, Paolo B. U. L. de Heer, and Frank Phillipson, "Quantum reinforcement learning", Quantum Information Processing 22 2, 125 (2023).

[1232] 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).

[1233] Marco Ballarin, Stefano Mangini, Simone Montangero, Chiara Macchiavello, and Riccardo Mengoni, "Entanglement entropy production in Quantum Neural Networks", Quantum 7, 1023 (2023).

[1234] Xiao Xiao, J. K. Freericks, and A. F. Kemper, "Robust measurement of wave function topology on NISQ quantum computers", Quantum 7, 987 (2023).

[1235] 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).

[1236] 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).

[1237] Raphael César de Souza Pimenta and Anibal Thiago Bezerra, "Revisiting semiconductor bulk hamiltonians using quantum computers", Physica Scripta 98 4, 045804 (2023).

[1238] 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).

[1239] Mainak Bhattacharyya and Ankur Raina, "Quantum Approximation Optimization Algorithm for the trellis based Viterbi decoding of classical error correcting codes", arXiv:2304.02292, (2023).

[1240] Mingxia Huo and Ying Li, "Error-resilient Monte Carlo quantum simulation of imaginary time", Quantum 7, 916 (2023).

[1241] Ana Cruz, Alexandre Madeira, and LuÂ-Ã-s Soares Barbosa, "Paraconsistent Transition Systems", arXiv:2303.13254, (2023).

[1242] 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).

[1243] 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).

[1244] Mazhar Ali, "Partial transpose moments, principal minors and entanglement detection", Quantum Information Processing 22 5, 207 (2023).

[1245] 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).

[1246] Anette Messinger, Michael Fellner, and Wolfgang Lechner, "Constant Depth Code Deformations in the Parity Architecture", arXiv:2303.08602, (2023).

[1247] Joanna Wiśniewska and Marek Sawerwain, "Variational Quantum Eigensolver for Classification in Credit Sales Risk", arXiv:2303.02797, (2023).

[1248] 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).

[1249] Ijaz Ahamed Mohammad, Matej Pivoluska, and Martin Plesch, "Resource-efficient utilization of quantum computers", arXiv:2305.08924, (2023).

[1250] 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).

[1251] Yuchen Guo and Shuo Yang, "Noise effects on purity and quantum entanglement in terms of physical implementability", npj Quantum Information 9, 11 (2023).

[1252] Guglielmo Lami, Alessandro Santini, and Mario Collura, "Continuously Monitored Quantum Systems beyond Lindblad Dynamics", arXiv:2305.04108, (2023).

[1253] 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).

[1254] Aaron Szasz, Ed Younis, and Wibe de Jong, "Numerical circuit synthesis and compilation for multi-state preparation", arXiv:2305.01816, (2023).

[1255] 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).

[1256] 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).

[1257] Anthony M. Smaldone, Gregory W. Kyro, and Victor S. Batista, "Quantum Convolutional Neural Networks for Multi-Channel Supervised Learning", arXiv:2305.18961, (2023).

[1258] Suryansh Upadhyay, Rasit Onur Topaloglu, and Swaroop Ghosh, "Trustworthy Computing using Untrusted Cloud-Based Quantum Hardware", arXiv:2305.01826, (2023).

[1259] 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).

[1260] Alexander Zlokapa, Benjamin Villalonga, Sergio Boixo, and Daniel A. Lidar, "Boundaries of quantum supremacy via random circuit sampling", npj Quantum Information 9, 36 (2023).

[1261] Dayue Qin, Yanzhu Chen, and Ying Li, "Error statistics and scalability of quantum error mitigation formulas", npj Quantum Information 9, 35 (2023).

[1262] 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).

[1263] Srinjoy Ganguly, Sai Nandan Morapakula, and Luis Miguel Pozo Coronado, "Quantum Natural Language Processing based Sentiment Analysis using lambeq Toolkit", arXiv:2305.19383, (2023).

[1264] Hiroki Sukeno and Tzu-Chieh Wei, "Quantum simulation of lattice gauge theories via deterministic duality transformations assisted by measurements", arXiv:2305.12277, (2023).

[1265] 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).

[1266] Gabriel San Martin Silva and Enrique Lopez Droguett, "Quantum-Based Combinatorial Optimization for Structural Health Monitoring Applications", arXiv:2305.08738, (2023).

[1267] Albie Chan, Zheng Shi, Luca Dellantonio, Wolfgang Dür, and Christine A. Muschik, "Hybrid variational quantum eigensolvers: merging computational models", arXiv:2305.19200, (2023).

[1268] 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).

[1269] Suryansh Upadhyay and Swaroop Ghosh, "Obfuscating Quantum Hybrid-Classical Algorithms for Security and Privacy", arXiv:2305.02379, (2023).

[1270] 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).

[1271] Ara Ghukasyan, Jack S. Baker, Oktay Goktas, Juan Carrasquilla, and Santosh Kumar Radha, "Quantum-Classical Multiple Kernel Learning", arXiv:2305.17707, (2023).

The above citations are from SAO/NASA ADS (last updated successfully 2023-06-09 04:43:18). The list may be incomplete as not all publishers provide suitable and complete citation data.

Could not fetch Crossref cited-by data during last attempt 2023-06-09 04:43:00: cURL error 28: Operation timed out after 10000 milliseconds with 416082 bytes received