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Achieving near-term quantum advantage will require accurate estimation of quantum observables despite significant hardware noise.
Noise-resilient quantum dynamics using symmetry-preserving ansatzes
Matthew Otten, Cristian L Cortes, and Stephen K Gray · 1910
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Finitely correlated states on quantum spin chains
M. Fannes, B. Nachtergaele, and R. F. Werner · 1992
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From the quantum approximate optimization algorithm to a quantum alternating operator ansatz
Stuart Hadfield, Zhihui Wang, Bryan O’Gorman, Eleanor G. Rieffel, Davide Venturelli, and Rupak Biswas · 1999
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Improved simulation of stabilizer circuits
Scott Aaronson and Daniel Gottesman · 2004
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Variational quantum state eigensolver
M Cerezo, Kunal Sharma, Andrew Arrasmith, and Patrick J Coles · 2004
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An introduction to quantum error correction and fault-tolerant quantum computation
Daniel Gottesman · 2009
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Detecting highly entangled states with a joint qubit readout
J. M. Chow, L. DiCarlo, J. M. Gambetta, A. Nunnenkamp, Lev S. Bishop, L. Frunzio, M. H. Devoret, S. M. Girvin, and R. J. Schoelkopf · 2010
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Perfect sampling with unitary tensor networks
Andrew J. Ferris and Guifre Vidal · 2012
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A quantum approximate optimization algorithm
E. Farhi, J. Goldstone, and S. Gutmann · 2014
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A variational eigenvalue solver on a photonic quantum processor
A. Peruzzo, J. McClean, P. Shadbolt, M.-H. Yung, X.-Q. Zhou, P. J. Love, A. Aspuru-Guzik, and J. L. O’Brien · 2014
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Neural networks and deep learning , volume 2018
Michael A Nielsen · 2015
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The theory of variational hybrid quantum-classical algorithms
Jarrod R McClean, Jonathan Romero, Ryan Babbush, and Alán Aspuru-Guzik · 2016
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Efficient variational quantum simulator incorporating active error minimization
Y. Li and S. C. Benjamin · 2017
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Error mitigation for short-depth quantum circuits
Kristan Temme, Sergey Bravyi, and Jay M Gambetta · 2017
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Low-cost error mitigation by symmetry verification
Xavi Bonet-Monroig, Ramiro Sagastizabal, M Singh, and TE O’Brien · 2018
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Learning the quantum algorithm for state overlap
L. Cincio, Y. Subaşı, A. T. Sornborger, and P. J. Coles · 2018
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Performance of the quantum approximate optimization algorithm on the maximum cut problem
G. E. Crooks · 2018
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Cloud quantum computing of an atomic nucleus
Eugene F Dumitrescu, Alex J McCaskey, Gaute Hagen, Gustav R Jansen, Titus D Morris, T Papenbrock, Raphael C Pooser, David Jarvis Dean, and Pavel Lougovski · 2018
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Practical quantum error mitigation for near-future applications
Suguru Endo, Simon C. Benjamin, and Ying Li · 2018
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Quantum algorithm implementations for beginners, 2018
Abhijith J., Adetokunbo Adedoyin, John Ambrosiano, Petr Anisimov, Andreas Bärtschi, William Casper, Gopinath Chennupati, Carleton Coffrin, Hristo Djidjev, David Gunter, Satish Karra, Nathan Lemons, Shizeng Lin, Alexander Malyzhenkov, David Mascarenas, Susan Mniszewski, Balu Nadiga, Daniel O’Malley, Diane Oyen, Scott Pakin, Lakshman Prasad, Randy Roberts, Phillip Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter J. Swart, James G. Wendelberger, Boram Yoon, Richard Zamora, Wei Zhu, Stephan Eidenbenz, Patrick J. Coles, Marc Vuffray, and Andrey Y. Lokhov · 2018
Cited alongside, same era.
Theory of variational quantum simulation
Xiao Yuan, Suguru Endo, Qi Zhao, Ying Li, and Simon C Benjamin · 2019
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Digital zero noise extrapolation for quantum error mitigation
Tudor Giurgica-Tiron, Yousef Hindy, Ryan LaRose, Andrea Mari, and William J. Zeng · 2020
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Zero-noise extrapolation for quantum-gate error mitigation with identity insertions
Andre He, Benjamin Nachman, Wibe A. de Jong, and Christian W. Bauer · 2020
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Quantum computational chemistry
Sam McArdle, Suguru Endo, Alan Aspuru-Guzik, Simon C Benjamin, and Xiao Yuan · 2020
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Noise resilience of variational quantum compiling
Kunal Sharma, Sumeet Khatri, M Cerezo, and Patrick J Coles · 2020
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Precise measurement of quantum observables with neural-network estimators
Giacomo Torlai, Guglielmo Mazzola, Giuseppe Carleo, and Antonio Mezzacapo · 2020
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Quantum computing in the NISQ era and beyond
John Preskill · 2018
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A simple introduction to markov chain monte–carlo sampling
Don Van Ravenzwaaij, Pete Cassey, and Scott D Brown · 2018
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Quantum supremacy using a programmable superconducting processor
Frank Arute, Kunal Arya, Ryan Babbush, Dave Bacon, Joseph C Bardin, Rami Barends, Rupak Biswas, Sergio Boixo, Fernando GSL Brandao, David A Buell, et al · 2019
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Quantum chemistry in the age of quantum computing
Yudong Cao, Jonathan Romero, Jonathan P Olson, Matthias Degroote, Peter D Johnson, Mária Kieferová, Ian D Kivlichan, Tim Menke, Borja Peropadre, Nicolas PD Sawaya, et al · 2019
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Validating quantum computers using randomized model circuits
Andrew W. Cross, Lev S. Bishop, Sarah Sheldon, Paul D. Nation, and Jay M. Gambetta · 2019
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Qiskit: An open-source framework for quantum computing, 2019
Héctor Abraham et. al · 2019
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Error mitigation extends the computational reach of a noisy quantum processor
Abhinav Kandala, Kristan Temme, Antonio D Córcoles, Antonio Mezzacapo, Jerry M Chow, and Jay M Gambetta · 2019
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Quantum-assisted quantum compiling
S. Khatri, R. LaRose, A. Poremba, L. Cincio, A. T. Sornborger, and P. J. Coles · 2019
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Noisy intermediate-scale quantum (nisq) algorithms
Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw, Tobias Haug, Sumner Alperin-Lea, Abhinav Anand, Matthias Degroote, Hermanni Heimonen, Jakob S. Kottmann, Tim Menke, Wai-Keong Mok, Sukin Sim, Leong-Chuan Kwek, and Alán Aspuru-Guzik · 2021
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Mitigating measurement errors in multiqubit experiments
Sergey Bravyi, Sarah Sheldon, Abhinav Kandala, David C. Mckay, and Jay M. Gambetta · 2021
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Variational quantum algorithms
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Machine learning of noise-resilient quantum circuits
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Hybrid quantum-classical algorithms and quantum error mitigation
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Fast estimation of outcome probabilities for quantum circuits
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Learning-based quantum error mitigation
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Multi-exponential error extrapolation and combining error mitigation techniques for nisq applications
Zhenyu Cai · 2056
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Variational quantum state diagonalization
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