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Quantum natural gradient has emerged as a superior minimisation technique in quantum variational algorithms.
The convergence of a class of double-rank minimization algorithms 1. general considerations
Charles George Broyden · 1970
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Thermodynamic models of information processes
RP Poplavskiĭ · 1975
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Neural learning in structured parameter spaces-natural riemannian gradient
Shun-ichi Amari · 1997
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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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ADAM: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba Adam · 2014
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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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qHiPSTER: The quantum high performance software testing environment
Mikhail Smelyanskiy, Nicolas PD Sawaya, and Alán Aspuru-Guzik · 2016
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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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Efficient variational quantum simulator incorporating active error minimization
Ying Li and Simon C. Benjamin · 2017
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Quantum computing in the nisq era and beyond
John Preskill · 2018
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Open source software in quantum computing
Mark Fingerhuth, Tomáš Babej, and Peter Wittek · 2018
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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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Quantum++: A modern c++ quantum computing library
Vlad Gheorghiu · 2018
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The ibm q experience and qiskit open-source quantum computing software
Andrew Cross · 2018
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Yao. jl: Extensible, efficient framework for quantum algorithm design
Xiu-Zhe Luo, Jin-Guo Liu, Pan Zhang, and Lei Wang · 2019
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Quantum natural gradient generalised to non-unitary circuits
Bálint Koczor and Simon C Benjamin · 2019
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Quantum chemistry in the age of quantum computing
Overview and comparison of gate level quantum software platforms
Ryan LaRose · 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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Quantum natural gradient
James Stokes, Josh Izaac, Nathan Killoran, and Giuseppe Carleo · 2020
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Avoiding local minima in variational quantum eigensolvers with the natural gradient optimizer
David Wierichs, Christian Gogolin, and Michael Kastoryano · 2020
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Measurement cost of metric-aware variational quantum algorithms
Barnaby van Straaten and Bálint Koczor · 2020
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Tensorflow quantum: A software framework for quantum machine learning
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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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Evaluating analytic gradients on quantum hardware
Maria Schuld, Ville Bergholm, Christian Gogolin, Josh Izaac, and Nathan Killoran · 2019
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Methodology for replacing indirect measurements with direct measurements
Kosuke Mitarai and Keisuke Fujii · 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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On the natural gradient for variational quantum eigensolver
Naoki Yamamoto · 2019
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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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Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J Martinez, Jae Hyeon Yoo, Sergei V Isakov, Philip Massey, Murphy Yuezhen Niu, Ramin Halavati, Evan Peters, et al · 2020
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Intel quantum simulator: A cloud-ready high-performance simulator of quantum circuits
Gian Giacomo Guerreschi, Justin Hogaboam, Fabio Baruffa, and Nicolas PD Sawaya · 2020
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Efficient calculation of gradients in classical simulations of variational quantum algorithms, 2020
Tyson Jones and Julien Gacon · 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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Quantum natural gradient
James Stokes, Josh Izaac, Nathan Killoran, and Giuseppe Carleo · 2020
Closest in time.