Quantum Computing in the NISQ era and beyond

John Preskill

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

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

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

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

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

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[366] 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).

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[372] 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).

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

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

[375] 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).

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

[377] 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).

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

[379] 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).

[380] 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).

[381] 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).

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

[383] 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).

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

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

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

[387] 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).

[388] 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).

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

[390] 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).

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

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

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

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

[396] 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).

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

[398] 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).

[399] 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).

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

[401] 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).

[402] 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).

[403] 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).

[404] 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).

[405] 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).

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

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

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

[409] 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).

[410] 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).

[411] 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).

[412] 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).

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

[414] 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).

[415] 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).

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

[417] 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).

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

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

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

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

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

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

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

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

[426] 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).

[427] 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).

[428] 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).

[429] 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).

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

[431] 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).

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

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

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

[435] 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).

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

[437] 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).

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

[439] 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).

[440] 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).

[441] 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).

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

[443] 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).

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

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

[446] 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).

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

[448] 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).

[449] 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).

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

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

[452] 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).

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

[454] 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).

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

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

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

[458] 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).

[459] 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).

[460] 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).

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

[462] 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).

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

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

[465] 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).

[466] 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).

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

[468] 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).

[469] 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).

[470] 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).

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

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

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

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

[475] 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).

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

[477] 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).

[478] 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).

[479] 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).

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

[481] 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).

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

[483] 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).

[484] 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).

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

[486] 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).

[487] 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).

[488] 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).

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

[490] 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).

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

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

[493] Zbigniew Puchała, Łukasz Pawela, Aleksandra Krawiec, Ryszard Kukulski, and Michał Oszmaniec, "Multiple-shot and unambiguous discrimination of von Neumann measurements", Quantum 5, 425 (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] Valery Shchesnovich, "Distinguishing noisy boson sampling from classical simulations", Quantum 5, 423 (2021).

[496] 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).

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

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

[500] 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).

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[633] 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).

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

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

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

[637] 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).

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

[639] 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).

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

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

[642] 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).

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

[644] 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).

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

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

[647] 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).

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

[649] 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).

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

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

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

[653] 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).

[654] 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).

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

[656] 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).

[657] 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).

[658] 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).

[659] 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).

[660] 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).

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

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

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

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

[665] 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).

[666] 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).

[667] 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).

[668] 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).

[669] 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).

[670] 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).

[671] 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).

[672] 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).

[673] 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).

[674] 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).

[675] 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).

[676] 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).

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

[678] 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).

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

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

[681] 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).

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

[683] 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).

[684] 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).

[685] 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).

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

[687] 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).

[688] 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).

[689] 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).

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

[691] 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).

[692] 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).

[693] 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).

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

[695] 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).

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

[697] 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).

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

[699] 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).

[700] 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).

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

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

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

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

[705] 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).

[706] 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).

[707] 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).

[708] 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).

[709] 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).

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

[711] 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).

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

[713] 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).

[714] 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).

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

[716] 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).

[717] 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).

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

[719] 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).

[720] 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).

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

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

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

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

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

[726] 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).

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

[728] 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).

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

[730] 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).

[731] 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).

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

[733] 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).

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

[735] 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).

[736] 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).

[737] 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).

[738] 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).

[739] 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).

[740] 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).

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

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

[743] 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).

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

[745] 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).

[746] 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).

[747] 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).

[748] 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).

[749] 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).

[750] 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).

[751] 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).

[752] 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).

[753] 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).

[754] 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).

[755] 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).

[756] 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).

[757] 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).

[758] 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).

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

[760] 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).

[761] 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).

[762] 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).

[763] 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).

[764] Hiroki Sukeno and Takuya Okuda, "Measurement-based quantum simulation of Abelian lattice gauge theories", arXiv:2210.10908, (2022).

[765] 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).

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

[767] 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).

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

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

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[771] Stefan H. Sack, Raimel A. Medina, Richard Kueng, and Maksym Serbyn, "Transition states and greedy exploration of the QAOA optimization landscape", arXiv:2209.01159, (2022).

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[902] 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).

[903] 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).

[904] 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).

[905] 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).

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

[907] 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).

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

[909] 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).

[910] 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).

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

[912] Gabriele Cenedese, Maria Bondani, Dario Rosa, and Giuliano Benenti, "Generation of Pseudo-Random Quantum States on Actual Quantum Processors", arXiv:2302.04101, (2023).

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

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

[915] 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).

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

[917] 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).

[918] 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).

[919] 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).

[920] 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).

[921] 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).

[922] 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).

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

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

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

[926] 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).

[927] 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).

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

[929] 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).

[930] 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).

[931] 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).

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

[933] 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).

[934] 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).

[935] 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).

[936] 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).

[937] 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).

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

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

[940] 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).

[941] 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).

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

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

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

[945] 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).

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

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

[948] 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).

[949] 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).

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

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

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

[953] 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).

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

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

[956] 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).

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

[958] 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).

[959] 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).

[960] 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).

[961] 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).

[962] 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).

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

[964] 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).

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

[966] 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).

[967] 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).

[968] 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).

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

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

[971] 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).

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

[973] Jin-Min Liang, Qiao-Qiao Lv, Zhi-Xi Wang, and Shao-Ming Fei, "Assisted quantum simulation of open quantum systems", arXiv:2302.13299, (2023).

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

[975] 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).

The above citations are from SAO/NASA ADS (last updated successfully 2023-03-31 02:13:28). The list may be incomplete as not all publishers provide suitable and complete citation data.

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