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Calculating the energy gradient in parameter space has become an almost ubiquitous subroutine of variational near-term quantum algorithms.
Automatic differentiation of algorithms
Michael Bartholomew-Biggs, Steven Brown, Bruce Christianson, and Laurence Dixon · 2000
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A variational eigenvalue solver on a photonic quantum processor
Alberto Peruzzo, Jarrod McClean, Peter Shadbolt, Man-Hong Yung, Xiao-Qi Zhou, Peter J Love, Alán Aspuru-Guzik, and Jeremy L O’brien · 2014
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Gradient-based hyperparameter optimization through reversible learning
Dougal Maclaurin, David Duvenaud, and Ryan Adams · 2015
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Measuring non-hermitian operators via weak values
Arun Kumar Pati, Uttam Singh, and Urbasi Sinha · 2015
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Automatic differentiation in machine learning: a survey
Atılım Günes Baydin, Barak A Pearlmutter, Alexey Andreyevich Radul, and Jeffrey Mark Siskind · 2017
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Hybrid quantum-classical approach to quantum optimal control
Jun Li, Xiaodong Yang, Xinhua Peng, and Chang-Pu Sun · 2017
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Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets
Abhinav Kandala, Antonio Mezzacapo, Kristan Temme, Maika Takita, Markus Brink, Jerry M Chow, and Jay M Gambetta · 2017
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Quantum Computing in the NISQ era and beyond
John Preskill · 2018
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The IBM Q experience and QISKit open-source quantum computing software
Andrew Cross · 2018
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Pennylane: Automatic differentiation of hybrid quantum-classical computations
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Projectq: an open source software framework for quantum computing
Damian S Steiger, Thomas Häner, and Matthias Troyer · 2018
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Theory of variational quantum simulation
Xiao Yuan, Suguru Endo, Qi Zhao, Ying Li, and Simon C. Benjamin · 2019
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Aram Harrow and John Napp · 2019
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Yao.jl: Extensible, efficient framework for quantum algorithm design, 2019
Xiu-Zhe Luo, Jin-Guo Liu, Pan Zhang, and Lei Wang · 2019
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Variational ansatz-based quantum simulation of imaginary time evolution
Sam McArdle, Tyson Jones, Suguru Endo, Ying Li, Simon C Benjamin, and Xiao Yuan · 2019
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Quest and high performance simulation of quantum computers
Tyson Jones, Anna Brown, Ian Bush, and Simon C Benjamin · 2019
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Expressibility and entangling capability of parameterized quantum circuits for hybrid quantum-classical algorithms
Sukin Sim, Peter D Johnson, and Alán Aspuru-Guzik · 2019
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Variational quantum algorithms for discovering hamiltonian spectra
Tyson Jones, Suguru Endo, Sam McArdle, Xiao Yuan, and Simon C. Benjamin · 2019
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Tensorflow quantum: A software framework for quantum machine learning, 2020
Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J. Martinez, Jae Hyeon Yoo, Sergei V. Isakov, Philip Massey, Murphy Yuezhen Niu, Ramin Halavati, Evan Peters, Martin Leib, Andrea Skolik, Michael Streif, David Von Dollen, Jarrod R. McClean, Sergio Boixo, Dave Bacon, Alan K. Ho, Hartmut Neven, and Masoud Mohseni · 2020
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A review of automatic differentiation and its efficient implementation
Charles C Margossian · 2019
Cited alongside, same era.
Qiskit: An open-source framework for quantum computing, 2019
Qiskit contributors · 2019
Cited alongside, same era.
Evaluating analytic gradients on quantum hardware
Maria Schuld, Ville Bergholm, Christian Gogolin, Josh Izaac, and Nathan Killoran · 2019
Cited alongside, same era.
Intel quantum simulator: A cloud-ready high-performance simulator of quantum circuits, 2020
Gian Giacomo Guerreschi, Justin Hogaboam, Fabio Baruffa, and Nicolas Sawaya · 2020
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Questlink–mathematica embiggened by a hardware-optimised quantum emulator
Tyson Jones and Simon C Benjamin · 2020
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Resource estimation for quantum variational simulations of the hubbard model
Zhenyu Cai · 2020
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