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

[656] 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).

[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).

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[665] Nikita A. Nemkov, Evgeniy O. Kiktenko, Ilia A. Luchnikov, and Aleksey K. Fedorov, "Efficient variational synthesis of quantum circuits with coherent multi-start optimization", arXiv:2205.01121, (2022).

[666] 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).

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[668] 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).

[669] 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).

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

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[673] 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).

[674] 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).

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

[676] 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).

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

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

[679] 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).

[680] 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).

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

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

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[686] 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).

[687] 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).

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

[689] 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).

[690] 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).

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

[692] 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).

[693] Xuanqiang Zhao, Benchi Zhao, Zihan Xia, and Xin Wang, "Information recoverability of noisy quantum states", arXiv:2203.04862, (2022).

[694] 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).

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

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

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

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[834] 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).

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

[836] 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).

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

[838] 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).

[839] 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).

[840] 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).

[841] 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).

[842] 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).

[843] 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).

[844] Takuya Okuda, "Schwinger model on an interval: analytic results and DMRG", arXiv:2210.00297, (2022).

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

[846] 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).

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

[848] Tom Rindell, Berat Yenilen, Niklas Halonen, Arttu Pönni, Ilkka Tittonen, and Matti Raasakka, "Generating approximate state preparation circuits for NISQ computers with a genetic algorithm", arXiv:2210.06411, (2022).

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

[850] 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).

[851] 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).

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

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

[854] 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).

[855] 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).

[856] 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).

[857] 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).

[858] 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).

[859] 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).

[860] 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).

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

[862] 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).

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

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

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

[866] 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).

[867] 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).

[868] 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).

[869] 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).

[870] 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).

[871] 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).

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

[873] 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).

[874] 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).

[875] 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).

[876] 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).

[877] 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).

[878] 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).

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

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

[881] 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).

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

[883] 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).

[884] 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).

[885] 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).

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

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

[888] 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).

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

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

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

[892] 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).

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

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

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

[896] 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).

[897] 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).

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

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

[900] 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).

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

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

[903] 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).

[904] 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).

[905] 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).

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

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

[908] 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).

[909] 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).

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

[911] 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).

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

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

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

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

[916] 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).

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

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

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

[920] 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).

[921] 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).

[922] 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).

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

[924] 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).

[925] 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).

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

[927] 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).

[928] 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).

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

The above citations are from SAO/NASA ADS (last updated successfully 2023-03-23 09:10:42). The list may be incomplete as not all publishers provide suitable and complete citation data.

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