Fetching the paper…
Reading the bibliography…
Hybrid quantum-classical optimization algorithms represent one of the most promising application for near-term quantum computers.
Exponential operators and parameter differentiation in quantum physics
Ralph M Wilcox · 1967
Earlier work this paper cites.
Symmetry groups and their applications
Willard Miller · 1973
Earlier work this paper cites.
Multivariate stochastic approximation using a simultaneous perturbation gradient approximation
James C. Spall · 1992
Earlier work this paper cites.
Universal quantum simulators
Seth Lloyd · 1996
Earlier work this paper cites.
The theory of open quantum systems
Heinz-Peter Breuer and Francesco Petruccione · 2002
Earlier work this paper cites.
Optimal control of coupled spin dynamics: design of nmr pulse sequences by gradient ascent algorithms
Navin Khaneja, Timo Reiss, Cindie Kehlet, Thomas Schulte-Herbrüggen, and Steffen J Glaser · 2004
Earlier work this paper cites.
Quantum computation as geometry
Michael A Nielsen, Mark R Dowling, Mile Gu, and Andrew C Doherty · 2006
Earlier work this paper cites.
Chopped random-basis quantum optimization
Tommaso Caneva, Tommaso Calarco, and Simone Montangero · 2011
Earlier work this paper cites.
Simple all-microwave entangling gate for fixed-frequency superconducting qubits
Jerry M Chow, AD Córcoles, Jay M Gambetta, Chad Rigetti, BR Johnson, John A Smolin, JR Rozen, George A Keefe, Mary B Rothwell, Mark B Ketchen, et al · 2011
Earlier work this paper cites.
Hamiltonian simulation using linear combinations of unitary operations
Andrew M Childs and Nathan Wiebe · 2012
Earlier work this paper cites.
Open quantum systems
Angel Rivas and Susana F Huelga · 2012
Earlier work this paper cites.
Ballistic spreading of entanglement in a diffusive nonintegrable system
Hyungwon Kim and David A Huse · 2013
Earlier work this paper cites.
A quantum approximate optimization algorithm
Edward Farhi, Jeffrey Goldstone, and Sam Gutmann · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
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
Earlier work this paper cites.
Convex optimization: Algorithms and complexity
Sébastien Bubeck · 2015
Earlier work this paper cites.
Quantum algorithms: an overview
Ashley Montanaro · 2015
Cited alongside, same era.
Quantum gate learning in qubit networks: Toffoli gate without time-dependent control
Leonardo Banchi, Nicola Pancotti, and Sougato Bose · 2016
Cited alongside, same era.
A practical quantum instruction set architecture
Robert S Smith, Michael J Curtis, and William J Zeng · 2016
Cited alongside, same era.
Hybrid quantum-classical approach to quantum optimal control
Jun Li, Xiaodong Yang, Xinhua Peng, and Chang-Pu Sun · 2017
Cited alongside, same era.
Efficient variational quantum simulator incorporating active error minimization
Ying Li and Simon C Benjamin · 2017
Cited alongside, same era.
Pennylane: Automatic differentiation of hybrid quantum-classical computations
Variational quantum algorithms for discovering hamiltonian spectra
Tyson Jones, Suguru Endo, Sam McArdle, Xiao Yuan, and Simon C Benjamin · 2019
Later among the works it cites.
Quantum natural gradient generalised to non-unitary circuits
Bálint Koczor and Simon C Benjamin · 2019
Later among the works it cites.
Methodology for replacing indirect measurements with direct measurements
Kosuke Mitarai and Keisuke Fujii · 2019
Later among the works it cites.
Evaluating analytic gradients on quantum hardware
Maria Schuld, Ville Bergholm, Christian Gogolin, Josh Izaac, and Nathan Killoran · 2019
Later among the works it cites.
Theory of variational quantum simulation
Xiao Yuan, Suguru Endo, Qi Zhao, Ying Li, and Simon C Benjamin · 2019
Later among the works it cites.
Tensorflow quantum: A software framework for quantum machine learning
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Ville Bergholm, Josh Izaac, Maria Schuld, Christian Gogolin, Carsten Blank, Keri McKiernan, and Nathan Killoran · 2018
Cited alongside, same era.
Classification with quantum neural networks on near term processors
Edward Farhi and Hartmut Neven · 2018
Cited alongside, same era.
Barren plateaus in quantum neural network training landscapes
Jarrod R McClean, Sergio Boixo, Vadim N Smelyanskiy, Ryan Babbush, and Hartmut Neven · 2018
Cited alongside, same era.
Quantum circuit learning
Kosuke Mitarai, Makoto Negoro, Masahiro Kitagawa, and Keisuke Fujii · 2018
Cited alongside, same era.
Quantum computing in the nisq era and beyond
John Preskill · 2018
Cited alongside, same era.
Supervised learning with quantum computers
Maria Schuld and Francesco Petruccione · 2018
Cited alongside, same era.
https://github.com/quantumlib/Cirq
Cirq: A Python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits , 2019 · 2019
Cited alongside, same era.
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
Closest in time.
Noise-resilient variational hybrid quantum-classical optimization
Laura Gentini, Alessandro Cuccoli, Stefano Pirandola, Paola Verrucchi, and Leonardo Banchi · 2020
Closest in time.
Supervised learning of time-independent hamiltonians for gate design
Luca Innocenti, Leonardo Banchi, Alessandro Ferraro, Sougato Bose, and Mauro Paternostro · 2020
Closest in time.
Circuit-centric quantum classifiers
Maria Schuld, Alex Bocharov, Krysta M. Svore, and Nathan Wiebe · 2020
Closest in time.
Quantum natural gradient
James Stokes, Josh Izaac, Nathan Killoran, and Giuseppe Carleo · 2020
Closest in time.
Stochastic gradient descent for hybrid quantum-classical optimization
Ryan Sweke, Frederik Wilde, Johannes Jakob Meyer, Maria Schuld, Paul K. Fährmann, Barthélémy Meynard-Piganeau, and Jens Eisert · 2020
Closest in time.
Measurement cost of metric-aware variational quantum algorithms
Barnaby van Straaten and Bálint Koczor · 2020
Closest in time.
Parameterized quantum circuits as machine learning models
Marcello Benedetti, Erika Lloyd, Stefan Sack, and Mattia Fiorentini · 2058
Closest in time.
Quantum autoencoders for efficient compression of quantum data
Jonathan Romero, Jonathan P Olson, and Alán Aspuru-Guzik · 2058
Closest in time.
Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz
Jonathan Romero, Ryan Babbush, Jarrod R McClean, Cornelius Hempel, Peter J Love, and Alán Aspuru-Guzik · 2058
Closest in time.