Papers using M3

  1. “Implementing Quantum Secret Sharing on Current Hardware”, Jay Graves, Mike Nelson, Eric Chitambar, arXiv:2410.11640.

  2. “Statistics of topological defects across a phase transition in a superconducting quantum processor”, Daniil Teplitskiy, Oriel Kiss, Michele Grossi, Antonio Mandarino, arXiv:2410.06250.

  3. “LatentQGAN: A Hybrid QGAN with Classical Convolutional Autoencoder”, Alexis Vieloszynski, Soumaya Cherkaoui, Jean-Frederic Laprade, Oliver Nahman-Levesque, Abdallah Aaraba, Shengrui Wang, arXiv:2409.14622.

  4. “Experimental Sample-Efficient Quantum State Tomography via Parallel Measurements”, Chang-Kang Hu, Chao Wei, Chilong Liu, Liangyu Che, Yuxuan Zhou, Guixu Xie, Haiyang Qin, Guantian Hu, Haolan Yuan, Ruiyang Zhou, Song Liu, Dian Tan, Tao Xin, and Dapeng Yu, Phys. Rev. Lett. 133, 160801 (2024).

  5. “Solving the Hele-Shaw flow using the Harrow-Hassidim-Lloyd algorithm on superconducting devices: A study of efficiency and challenges”, Muralikrishnan Gopalakrishnan Meena, Kalyana C. Gottiparthi, Justin G. Lietz, Antigoni Georgiadou, Eduardo Antonio Coello Perez, Physics of Fluids 36, 101705 (2024).

  6. “High-fidelity heralded quantum state preparation and measurement”, A. S. Sotirova, J. D. Leppard, A. Vazquez-Brennan, S. M. Decoppet, F. Pokorny, M. Malinowski, C. J. Ballance, arXiv:2409.05805.

  7. “Practical techniques for high precision measurements on near-term quantum hardware: a Case Study in Molecular Energy Estimation”, Keijo Korhonen, Hetta Vappula, Adam Glos, Marco Cattaneo, Zoltan Zimboras, Elsi-Mari Borrelli, Matteo A. C. Rossi, Guillermo Garcia-Perez, Daniel Cavalcanti, arXiv:2409.02575.

  8. “Purity-Assisted Zero-Noise Extrapolation for Quantum Error Mitigation”, Tian-Ren Jin, Yun-Hao Shi, Zheng-An Wang, Tian-Ming Li, Kai Xu, Heng Fan, Adv Quantum Technol. 2024, 2400150.

  9. “Technology and Performance Benchmarks of IQM’s 20-Qubit Quantum Computer”, Leonid Abdurakhimov, Janos Adam, Hasnain Ahmad, Olli Ahonen, Manuel Algaba, Guillermo Alonso, Ville Bergholm, Rohit Beriwal, Matthias Beuerle, Clinton Bockstiegel, Alessio Calzona, Chun Fai Chan, Daniele Cucurachi, Saga Dahl, Rakhim Davletkaliyev, Olexiy Fedorets, Alejandro Gomez Frieiro, Zheming Gao, Johan Guldmyr, Andrew Guthrie, Juha Hassel, Hermanni Heimonen, Johannes Heinsoo, Tuukka Hiltunen, Keiran Holland, Juho Hotari, Hao Hsu, Antti Huhtala, Eric Hyyppä, Aleksi Hämäläinen, Joni Ikonen, Sinan Inel, David Janzso, Teemu Jaakkola, Mate Jenei, Shan Jolin, Kristinn Juliusson, Jaakko Jussila, Shabeeb Khalid, Seung-Goo Kim, Miikka Koistinen, Roope Kokkoniemi, Anton Komlev, Caspar Ockeloen-Korppi, Otto Koskinen, Janne Kotilahti, Toivo Kuisma, Vladimir Kukushkin, Kari Kumpulainen, Ilari Kuronen, Joonas Kylmälä, Niclas Lamponen, Julia Lamprich, Alessandro Landra, Martin Leib, Tianyi Li, Per Liebermann, Aleksi Lintunen, Wei Liu, Jürgen Luus, Fabian Marxer, Arianne Meijer-van de Griend, Kunal Mitra, Jalil Khatibi Moqadam, Jakub Mrożek, Henrikki Mäkynen, Janne Mäntylä, Tiina Naaranoja, Francesco Nappi, Janne Niemi, Lucas Ortega, Mario Palma, Miha Papič, Matti Partanen, Jari Penttilä, Alexander Plyushch, Wei Qiu, Aniket Rath, Kari Repo, Tomi Riipinen, Jussi Ritvas, Pedro Figueroa Romero, Jarkko Ruoho, Jukka Räbinä, Sampo Saarinen, Indrajeet Sagar, Hayk Sargsyan, Matthew Sarsby, Niko Savola, Mykhailo Savytskyi, Ville Selinmaa, Pavel Smirnov, Marco Marín Suárez, Linus Sundström, Sandra Słupińska, Eelis Takala, Ivan Takmakov, Brian Tarasinski, Manish Thapa, Jukka Tiainen et al., arXiv:2408.12433.

  10. “Performance-Oriented Layout Synthesis for Quantum Computing”, Chi-Chou Kao and Hung-Yi Lin, Computer Systems Science and Engineering (2024).

  11. “Accurately Simulating the Time Evolution of an Ising Model with Echo Verified Clifford Data Regression on a Superconducting Quantum Computer”, Tim Weaving, Alexis Ralli, Peter J. Love, Sauro Succi, Peter V. Coveney, arXiv:2408.07439.

  12. “Characterization of entanglement on superconducting quantum computers of up to 414 qubits”, John F. Kam, Haiyue Kang, Charles D. Hill, Gary J. Mooney, and Lloyd C. L. Hollenberg, Phys. Rev. Research 6, 033155.

  13. “Measurement-Based Long-Range Entangling Gates in Constant Depth”, Elisa Bäumer, Stefan Woerner, arXiv:2408.03064.

  14. “Quantum Algorithms for the Variational Optimization of Correlated Electronic States with Stochastic Reconfiguration and the Linear Method”, Mario Motta, Kevin J. Sung, James Shee, J. Phys. Chem. A 2024, 128, 40, 8762.

  15. “Quantum noise modeling through Reinforcement Learning”, Simone Bordoni, Andrea Papaluca, Piergiorgio Buttarini, Alejandro Sopena, Stefano Giagu, Stefano Carrazza, arXiv:2408.01506.

  16. “Multiaxis quantum noise spectroscopy robust to errors in state preparation and measurement”, Muhammad Qasim Khan, Wenzheng Dong, Leigh M. Norris, and Lorenza Viola, Phys. Rev. Applied 22, 024074 (2024).

  17. “Bayesian mitigation of measurement errors in multi-qubit experiments”, F. Cosco, F. Plastina, N. Lo Gullo, arXiv:2408.00869.

  18. “On the use of calibration data in error-aware compilation techniques for NISQ devices”, Handy Kurniawan, Laura Rodríguez-Soriano, Daniele Cuomo, Carmen G. Almudever, Francisco García Herrero, arXiv:2407.21462.

  19. “Quantum simulation of entanglement dynamics in a quantum processor”, Sebastián Saavedra-Pino, Cristian Inzulza, Pablo Román, Francisco Albarrán-Arriagada, and Juan Carlos Retamal, Phys. Scr. 99 095105 (2024).

  20. “A Noise Validation for Quantum Circuit Scheduling Through a Service-Oriented Architecture”, Javier Romero-Álvarez, Jaime Alvarado-Valiente, Jorge Casco-Seco, Enrique Moguel, Jose Garcia-Alonso, and Juan M. Murillo, International Journal of Software Engineering and Knowledge Engineering 2024.

  21. “Variational Gibbs state preparation on noisy intermediate-scale quantum devices”, Mirko Consiglio, Jacopo Settino, Andrea Giordano, Carlo Mastroianni, Francesco Plastina, Salvatore Lorenzo, Sabrina Maniscalco, John Goold, and Tony J. G. Apollaro, Phys. Rev. A 110, 012445 (2024).

  22. “Microscopic parametrizations for gate set tomography under coloured noise”, P. Viñas, A. Bermudez, arXiv:2407.11539.

  23. “Superconducting Quantum Simulation for Many-Body Physics beyond Equilibrium”, Yunyan Yao and Liang Xiang, Entropy 2024, 26(7), 592.

  24. “Teleporting two-qubit entanglement across 19 qubits on a superconducting quantum computer”, Haiyue Kang, John F. Kam, Gary J. Mooney, Lloyd C. L. Hollenberg, arXiv:2407.02858.

  25. “Realizing string-net condensation: Fibonacci anyon braiding for universal gates and sampling chromatic polynomials”, Zlatko K. Minev, Khadijeh Najafi, Swarnadeep Majumder, Juven Wang, Ady Stern, Eun-Ah Kim, Chao-Ming Jian, Guanyu Zhu, arXiv:2406.12820.

  26. “Readout Error Mitigation for Mid-Circuit Measurements and Feedforward”, Jin Ming Koh, Dax Enshan Koh, Jayne Thompson, arXiv:2406.07611.

  27. “Ground-state-energy calculation for the water molecule on a superconducting quantum processor”, Michael A. Jones, Harish J. Vallury, and Lloyd C.L. Hollenberg, Phys. Rev. Applied 21, 064017 (2024).

  28. “mRNA secondary structure prediction using utility-scale quantum computers”, Dimitris Alevras, Mihir Metkar, Takahiro Yamamoto, Vaibhaw Kumar, Triet Friedhoff, Jae-Eun Park, Mitsuharu Takeori, Mariana LaDue, Wade Davis, Alexey Galda, arXiv:2405.20328.

  29. “Full Band Structure Calculation of Semiconducting Materials on a Noisy Quantum Processor”, Shaobo Zhang, Akib Karim, Harry M. Quiney, Muhammad Usman, arXiv:2405.09122.

  30. “Feed-Forward Probabilistic Error Cancellation with Noisy Recovery Gates”, Leo Kurosawa, Yoshiyuki Saito, Xinwei Lee, Xinjian Yan, Ningyi Xie, Dongsheng Cai, Jungpil Shin, Nobuyoshi Asai, arXiv:2405.01833.

  31. “Sachdev-Ye-Kitaev model on a noisy quantum computer”, Muhammad Asaduzzaman, Raghav G. Jha, and Bharath Sambasivam, Phys. Rev. D 109, 105002 (2024).

  32. “Simulation of a spin-boson model by iterative optimization of a parametrized quantum circuit”, Takanori Nishi, Kaoru Yamanouchi , AVS Quantum Sci. 6, 023801 (2024).

  33. “Benchmarking digital quantum simulations above hundreds of qubits using quantum critical dynamics”, Alexander Miessen, Daniel J. Egger, Ivano Tavernelli, Guglielmo Mazzola, arXiv:2404.08053.

  34. “Quantum Tunneling: From Theory to Error-Mitigated Quantum Simulation”, Sorana Catrina, Alexandra Băicoianu, Adv. Quantum Technol. 2024, 2400163.

  35. “Analyzing the Temporal Behavior of Noisy Intermediate-Scale Quantum Nodes and Algorithm Fidelity”, Carlo Podda, Giuliana Siddi Moreau, Lorenzo Pisani, Lidia Leoni, Giacomo Cao, Adv. Quantum Technol. 2024, 2300451.

  36. “Surrogate optimization of variational quantum circuits”, Erik J. Gustafson, Juha Tiihonen, Diana Chamaki, Farshud Sorourifar, J. Wayne Mullinax, Andy C. Y. Li, Filip B. Maciejewski, Nicolas PD Sawaya, Jaron T. Krogel, David E. Bernal Neira, Norm M. Tubman, arXiv:2404.02951.

  37. “Quantum circuit scheduler for QPUs usage optimization”, Javier Romero-Alvarez, Jaime Alvarado-Valiente, Jorge Casco-Seco, Enrique Moguel, Jose Garcia-Alonso, Javier Berrocal, Juan M. Murillo, arXiv:2404.01055.

  38. “Circuit-noise-resilient virtual distillation”, Xu, XY., Ding, C., Zhang, S. et al., Commun Phys 7, 325 (2024).

  39. “Lindblad-like quantum tomography for non-Markovian quantum dynamical maps”, Santiago Varona, Markus Müller, Alejandro Bermudez, arXiv:2403.19799.

  40. “Quantum-Enhanced Simulation-Based Optimization for Newsvendor Problems”, Monit Sharma, Hoong Chuin Lau, Rudy Raymond, arXiv:2403.17389.

  41. “Quantum State Preparation for Probability Distributions with Mirror Symmetry Using Matrix Product States”, Yuichi Sano, Ikko Hamamura, arXiv:2403.16729.

  42. “Quantum Fourier Transform Using Dynamic Circuits”, Elisa Bäumer, Vinay Tripathi, Alireza Seif, Daniel Lidar, and Derek S. Wang, Phys. Rev. Lett. 133, 150602 (2024).

  43. “Simulation of a Diels-Alder Reaction on a Quantum Computer”, Ieva Liepuoniute, Mario Motta, Thaddeus Pellegrini, Julia E. Rice, Tanvi P. Gujarati, Sofia Gil, Gavin O. Jones, arXiv:2403.08107.

  44. “Low-Rank Variational Quantum Algorithm for the Dynamics of Open Quantum Systems”, Sara Santos, Xinyu Song, Vincenzo Savona, arXiv:2403.05908.

  45. “Quantum many-body simulations on digital quantum computers: State-of-the-art and future challenges”, Benedikt Fauseweh, Nat Commun 15, 2123 (2024).

  46. “Variational quantum eigensolver with linear depth problem-inspired ansatz for solving portfolio optimization in finance”, Shengbin Wang, Peng Wang, Guihui Li, Shubin Zhao, Dongyi Zhao, Jing Wang, Yuan Fang, Menghan Dou, Yongjian Gu, Yu-Chun Wu, Guo-Ping Guo, arXiv:2403.04296.

  47. “An Energy Estimation Benchmark for Quantum Computing Hardware”, Andreas J. C. Woitzik, Lukas Hoffmann, Andreas Buchleitner, and Edoardo G. Carnio, Open Systems & Information Dynamics 2024 31:01.

  48. “Empirical learning of dynamical decoupling on quantum processors”, Christopher Tong, Helena Zhang, Bibek Pokharel, arXiv:2403.02294.

  49. “Scalable measurement error mitigation via iterative bayesian unfolding”, Bibek Pokharel, Siddarth Srinivasan, Gregory Quiroz, and Byron Boots, Phys. Rev. Research 6, 013187 (2024).

  50. “Maximum Likelihood Quantum Error Mitigation for Algorithms with a Single Correct Output”, Dror Baron, Hrushikesh Pramod Patil, Huiyang Zhou, arXiv:2402.11830.

  51. “Scalable Quantum Algorithms for Noisy Quantum Computers”, Julien Gacon, arXiv:2403.00940.

  52. “Quantum Algorithm Exploration using Application-Oriented Performance Benchmarks”, Thomas Lubinski, Joshua J. Goings, Karl Mayer, Sonika Johri, Nithin Reddy, Aman Mehta, Niranjan Bhatia, Sonny Rappaport, Daniel Mills, Charles H. Baldwin, Luning Zhao, Aaron Barbosa, Smarak Maity, Pranav S. Mundada, arXiv:2402.08985.

  53. “On-premises superconducting quantum computer for education and research”, Jami Rönkkö, Olli Ahonen, Ville Bergholm, Alessio Calzona, Attila Geresdi, Hermanni Heimonen, Johannes Heinsoo, Vladimir Milchakov, Stefan Pogorzalek, Matthew Sarsby, Mykhailo Savytskyi, Stefan Seegerer, Fedor Šimkovic, P. V. Sriluckshmy, Panu T. Vesanen and Mikio Nakahara, EPJ Quantum Technol., 11 1 (2024) 32.

  54. “Robust projective measurements through measuring code-inspired observables”, Yingkai Ouyang, arXiv:2402.04093.

  55. “Comparative study of quantum error correction strategies for the heavy-hexagonal lattice”, César Benito, Esperanza López, Borja Peropadre, Alejandro Bermudez, arXiv:2402.02185.

  56. “Assessing the Benefits and Risks of Quantum Computers”, Travis L. Scholten, Carl J. Williams, Dustin Moody, Michele Mosca, William Hurley (“whurley”), William J. Zeng, Matthias Troyer, Jay M. Gambetta, arXiv:2401.16317.

  57. “Quantifying the effect of gate errors on variational quantum eigensolvers for quantum chemistry”, Dalton, K., Long, C.K., Yordanov, Y.S. et al., npj Quantum Inf 10, 18 (2024).

  58. “Quantum error mitigation for Fourier moment computation”, Oriel Kiss, Michele Grossi, Alessandro Roggero, arXiv:2401.13048.

  59. “Quantum simulations of hadron dynamics in the Schwinger model using 112 qubits”, Roland C. Farrell, Marc Illa, Anthony N. Ciavarella, and Martin J. Savage, Phys. Rev. D 109, 114510 (2024).

  60. “Quantum simulation of the one-dimensional Fermi-Hubbard model as a Z2 lattice-gauge theory”, Uliana E. Khodaeva, Dmitry L. Kovrizhin, and Johannes Knolle, Phys. Rev. Research 6, 013032 (2024).

  61. “Applying the noiseless extrapolation error mitigation protocol to calculate real-time quantum field theory scattering phase shifts”, Zachary Parks, Arnaud Carignan-Dugas, Erik Gustafson, Yannick Meurice, and Patrick Dreher, Phys. Rev. D 109, 014505 (2024).

  62. “Nonlinear dynamics as a ground-state solution on quantum computers”, Albert J. Pool, Alejandro D. Somoza, Conor Mc Keever, Michael Lubasch, and Birger Horstmann, Phys. Rev. Research 6, 033257 (2024).

  63. “High-Fidelity, Multiqubit Generalized Measurements with Dynamic Circuits”, Petr Ivashkov, Gideon Uchehara, Liang Jiang, Derek S. Wang, and Alireza Seif, PRX Quantum 5, 030315 (2024).

  64. “SantaQlaus: A resource-efficient method to leverage quantum shot-noise for optimization of variational quantum algorithms”, Kosuke Ito, Keisuke Fujii, arXiv:2312.15791.

  65. “Quantum error mitigation and correction mediated by Yang-Baxter equation and artificial neural network”, Sahil Gulania, Yuri Alexeev, Stephen K. Gray, Bo Peng, Niranjan Govind, arXiv:2401.17116.

  66. “Inverted-circuit zero-noise extrapolation for quantum gate error mitigation”, Kathrin F. Koenig, Finn Reinecke, Walter Hahn, Thomas Wellens, arXiv:2403.01608.

  67. “Quantum State Compression Shadow”, Chen Ding, Xiao-Yue Xu, Shuo Zhang, Wan-Su Bao, He-Liang Huang, arXiv:2312.13036.

  68. “Enhancing quantum utility: Simulating large-scale quantum spin chains on superconducting quantum computers”, Talal Ahmed Chowdhury, Kwangmin Yu, Mahmud Ashraf Shamim, M. L. Kabir, and Raza Sabbir Sufian, Phys. Rev. Research 6, 033107 (2024).

  69. “Subspace methods for electronic structure simulations on quantum computers”, Mario Motta, William Kirby, Ieva Liepuoniute, Kevin J Sung, Jeffrey Cohn, Antonio Mezzacapo, Katherine Klymko, Nam Nguyen, Nobuyuki Yoshioka, and Julia E Rice, Electron. Struct. 6 013001 (2024).

  70. “Provable bounds for noise-free expectation values computed from noisy samples”, Samantha V. Barron, Daniel J. Egger, Elijah Pelofske, Andreas Bärtschi, Stephan Eidenbenz, Matthis Lehmkuehler, Stefan Woerner, arXiv:2312.00733.

  71. “Exploiting Maximally Mixed States for Spectral Estimation by Time Evolution”, Kaelyn J. Ferris, Zihang Wang, Itay Hen, Amir Kalev, Nicholas T. Bronn, Vojtech Vlcek, arXiv:2312.00687.

  72. “Quantum simulations for strong-field QED”, Luis Hidalgo and Patrick Draper, Phys. Rev. D 109, 076004 (2024).

  73. “Quantum Simulation of an Open System: A Dissipative 1+1D Ising Model”, Erik Gustafson, Michael Hite, Jay Hubisz, Bharath Sambasivam, Judah Unmuth-Yockey, arXiv:2311.18728.

  74. “Improving the performance of digitized counterdiabatic quantum optimization via algorithm-oriented qubit mapping”, Yanjun Ji, Kathrin F. Koenig, and Ilia Polian, Phys. Rev. A 110, 032421 (2024).

  75. “Quantum Diffusion Models”, Andrea Cacioppo, Lorenzo Colantonio, Simone Bordoni, Stefano Giagu, arXiv:2311.15444.

  76. “An approach to solve the coarse-grained Protein folding problem in a Quantum Computer”, Jaya Vasavi P, Soham Bopardikar, Avinash D, Ashwini K, Kalyan Dasgupta, Sanjib Senapati, arXiv:2311.14141.

  77. “Perspectives of running self-consistent DMFT calculations for strongly correlated electron systems on noisy quantum computing hardware”, Jannis Ehrlich, Daniel Urban, Christian Elsässer, arXiv:2311.10402.

  78. “Observation of the non-Hermitian skin effect and Fermi skin on a digital quantum computer”, Ruizhe Shen, Tianqi Chen, Bo Yang, Ching Hua Lee, arXiv:2311.10143.

  79. “Comparison of current quantum devices for quantum computing of Heisenberg spin chain dynamics”, Erik Lötstedt and Kaoru Yamanouchi, Chemical Physics Letters 836, 140975 (2024).

  80. “ADAPT-QSCI: Adaptive Construction of Input State for Quantum-Selected Configuration Interaction”, Yuya O. Nakagawa, Masahiko Kamoshita, Wataru Mizukami, Shotaro Sudo, Yu-ya Ohnishi, arXiv:2311.01105.

  81. “Efficient separate quantification of state preparation errors and measurement errors on quantum computers and their mitigation”, Hongye Yu, Tzu-Chieh Wei, arXiv:2310.18881.

  82. “Quantum error mitigation”, Zhenyu Cai, Ryan Babbush, Simon C. Benjamin, Suguru Endo, William J. Huggins, Ying Li, Jarrod R. McClean, and Thomas E. O’Brien, Rev. Mod. Phys. 95, 045005 (2023).

  83. “Quantum Simulation for High-Energy Physics”, Christian W. Bauer et al., PRX Quantum 4, 027001 (2023).

  84. “Scalable Circuits for Preparing Ground States on Digital Quantum Computers: The Schwinger Model Vacuum on 100 Qubits”, Roland C. Farrell, Marc Illa, Anthony N. Ciavarella, and Martin J. Savage, PRX Quantum 5, 020315 (2024).

  85. “Near-term quantum computing techniques: Variational quantum algorithms, error mitigation, circuit compilation, benchmarking and classical simulation”, Huang, HL., Xu, XY., Guo, C. et al., Sci. China Phys. Mech. Astron. 66, 250302 (2023).

  86. “Scaling of the quantum approximate optimization algorithm on superconducting qubit based hardware”, Johannes Weidenfeller, Lucia C. Valor, Julien Gacon, Caroline Tornow, Luciano Bello, Stefan Woerner, Daniel J. Egger, Quantum 6, 870 (2022).

  87. “Deterministic Constant-Depth Preparation of the AKLT State on a Quantum Processor Using Fusion Measurements”, Kevin C. Smith, Eleanor Crane, Nathan Wiebe, and S.M. Girvin, PRX Quantum 4, 020315 (2023).

  88. “Biology and medicine in the landscape of quantum advantages”, Benjamin A. Cordier, Nicolas P. D. Sawaya, Gian Giacomo Guerreschi and Shannon K. McWeeney, J. R. Soc. Interface.1920220541.

  89. “Quantum computing of the 6Li nucleus via ordered unitary coupled clusters”, Oriel Kiss, Michele Grossi, Pavel Lougovski, Federico Sanchez, Sofia Vallecorsa, and Thomas Papenbrock, Phys. Rev. C 106, 034325 (2022).

  90. “Demonstration of Algorithmic Quantum Speedup”, Bibek Pokharel and Daniel A. Lidar, Phys. Rev. Lett. 130, 210602 (2023).

  91. “Digitized Counterdiabatic Quantum Algorithm for Protein Folding”, Pranav Chandarana, Narendra N. Hegade, Iraitz Montalban, Enrique Solano, and Xi Chen, Phys. Rev. Applied 20, 014024 (2023).

  92. “Universal Sampling Lower Bounds for Quantum Error Mitigation”, Ryuji Takagi, Hiroyasu Tajima, and Mile Gu, Phys. Rev. Lett. 131, 210602 (2023).

  93. “Measurement error mitigation in quantum computers through classical bit-flip correction”, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Paolo Stornati, and Xiaoyang Wang, Phys. Rev. A 105, 062404 (2022).

  94. “Measuring nonstabilizerness via multifractal flatness”, Xhek Turkeshi, Marco Schirò, and Piotr Sierant, Phys. Rev. A 108, 042408 (2023).

  95. “Experimental Benchmarking of an Automated Deterministic Error-Suppression Workflow for Quantum Algorithms”, Pranav S. Mundada, Aaron Barbosa, Smarak Maity, Yulun Wang, Thomas Merkh, T.M. Stace, Felicity Nielson, Andre R.R. Carvalho, Michael Hush, Michael J. Biercuk, and Yuval Baum, Phys. Rev. Applied 20, 024034 (2023).

  96. “Uncovering Local Integrability in Quantum Many-Body Dynamics”, Oles Shtanko, Derek S. Wang, Haimeng Zhang, Nikhil Harle, Alireza Seif, Ramis Movassagh, Zlatko Minev, arXiv:2307.07552.

  97. “Dissipative Dynamics of Graph-State Stabilizers with Superconducting Qubits”, Liran Shirizly, Grégoire Misguich, and Haggai Landa, Phys. Rev. Lett. 132, 010601 (2024).

  98. “Blueprint for a Molecular-Spin Quantum Processor”, A. Chiesa, S. Roca, S. Chicco, M.C. de Ory, A. Gómez-León, A. Gomez, D. Zueco, F. Luis, and S. Carretta, Phys. Rev. Applied 19, 064060 (2023).

  99. “Primitive quantum gates for dihedral gauge theories”, M. Sohaib Alam, Stuart Hadfield, Henry Lamm, and Andy C. Y. Li (SQMS Collaboration), Phys. Rev. D 105, 114501 (2022).

  100. “Pulse variational quantum eigensolver on cross-resonance-based hardware”, Daniel J. Egger, Chiara Capecci, Bibek Pokharel, Panagiotis Kl. Barkoutsos, Laurin E. Fischer, Leonardo Guidoni, and Ivano Tavernelli, Phys. Rev. Research 5, 033159 (2023).

  101. “Simulating large-size quantum spin chains on cloud-based superconducting quantum computers”, Hongye Yu (余泓烨), Yusheng Zhao, and Tzu-Chieh Wei, Phys. Rev. Research 5, 013183 (2023).

  102. “Steering-enhanced quantum metrology using superpositions of noisy phase shifts”, Kuan-Yi Lee, Jhen-Dong Lin, Adam Miranowicz, Franco Nori, Huan-Yu Ku, and Yueh-Nan Chen, Phys. Rev. Research 5, 013103 (2023).

  103. “Effective calculation of the Green’s function in the time domain on near-term quantum processors”, Francesco Libbi, Jacopo Rizzo, Francesco Tacchino, Nicola Marzari, and Ivano Tavernelli, Phys. Rev. Research 4, 043038 (2022).

  104. “N-Electron Valence Perturbation Theory with Reference Wave Functions from Quantum Computing: Application to the Relative Stability of Hydroxide Anion and Hydroxyl Radical”, Alessandro Tammaro, Davide E. Galli, Julia E. Rice, Mario Motta, J. Phys. Chem. A 2023, 127, 3, 817–827.

  105. “Efficient quantum readout-error mitigation for sparse measurement outcomes of near-term quantum devices”, Bo Yang, Rudy Raymond, and Shumpei Uno, Phys. Rev. A 106, 012423 (2022).

  106. “Finite-size criticality in fully connected spin models on superconducting quantum hardware”, Michele Grossi, Oriel Kiss, Francesco De Luca, Carlo Zollo, Ian Gremese, and Antonio Mandarino, Phys. Rev. E 107, 024113 (2023).

  107. “Hybrid Gate-Pulse Model for Variational Quantum Algorithms”, Zhiding Liang; Zhixin Song; Jinglei Cheng; Zichang He; Ji Liu; Hanrui Wang, 60th ACM/IEEE Design Automation Conference (DAC) (2023).

  108. “Computing the Many-Body Green’s Function with Adaptive Variational Quantum Dynamics”, Niladri Gomes, David B. Williams-Young, Wibe A. de Jong, J. Chem. Theory Comput. 2023, 19, 11, 3313.

  109. “Characterizing Crosstalk of Superconducting Transmon Processors”, Andreas Ketterer and Thomas Wellens, Phys. Rev. Applied 20, 034065 (2023).

  110. “Preparing valence-bond-solid states on noisy intermediate-scale quantum computers”, Bruno Murta, Pedro M. Q. Cruz, and J. Fernández-Rossier, Phys. Rev. Research 5, 013190 (2023).

  111. “Configurable Readout Error Mitigation in Quantum Workflows “, Beisel M, Barzen J, Leymann F, Truger F, Weder B, Yussupov V, Electronics. 2022; 11(19):2983.

  112. “Quantum Algorithm for Imaginary-Time Green’s Functions”, Diksha Dhawan, Dominika Zgid, Mario Motta, J. Chem. Theory Comput. 2024, 20, 11, 4629.

  113. “Best Practices for Quantum Error Mitigation with Digital Zero-Noise Extrapolation”, Ritajit Majumdar; Pedro Rivero; Friedrike Metz; Areeq Hasan; Derek S. Wang, 2023 IEEE International Conference on Quantum Computing and Engineering (QCE).

  114. “Conditional Born machine for Monte Carlo event generation”, Oriel Kiss, Michele Grossi, Enrique Kajomovitz, and Sofia Vallecorsa, Phys. Rev. A 106, 022612 (2022).

  115. “Quantum approximate optimization via learning-based adaptive optimization”, Cheng, L., Chen, YQ., Zhang, SX. et al., Commun Phys 7, 83 (2024).

  116. “Folded Spectrum VQE: A Quantum Computing Method for the Calculation of Molecular Excited States”, Lila Cadi Tazi, Alex J. W. Thom, J. Chem. Theory Comput. 2024, 20, 6, 2491.

  117. “Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research”, Travis S. Humble, Andrea Delgado, Raphael Pooser, Christopher Seck, Ryan Bennink, Vicente Leyton-Ortega, C.-C. Joseph Wang, Eugene Dumitrescu, Titus Morris, Kathleen Hamilton, Dmitry Lyakh, Prasanna Date, Yan Wang, Nicholas A. Peters, Katherine J. Evans, Marcel Demarteau, Alex McCaskey, Thien Nguyen, Susan Clark, Melissa Reville, Alberto Di Meglio, Michele Grossi, Sofia Vallecorsa, Kerstin Borras, Karl Jansen, Dirk Krücker, arXiv:2203.07091.

  118. “Adaptive POVM implementations and measurement error mitigation strategies for near-term quantum devices”, Adam Glos, Anton Nykänen, Elsi-Mari Borrelli, Sabrina Maniscalco, Matteo A. C. Rossi, Zoltán Zimborás, Guillermo García-Pérez, arXiv:2208.07817.

  119. “Quantum Gaussian process regression for Bayesian optimization”, Frederic Rapp & Marco Roth, Quantum Mach. Intell. 6, 5 (2024).

  120. “Quantum Ising model on two-dimensional anti–de Sitter space”, Muhammad Asaduzzaman, Simon Catterall, Yannick Meurice, and Goksu Can Toga, Phys. Rev. D 109, 054513 (2024).

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