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Variational quantum algorithms dominate contemporary gate-based quantum enhanced optimisation, eigenvalue estimation and machine learning.
Probability inequalities for sums of bounded random variables
Wassily Hoeffding · 1963
Earlier work this paper cites.
Quantum theory, the Church-Turing principle and the universal quantum computer
D. Deutsch · 1985
Earlier work this paper cites.
Quantum mechanical computers
Richard P. Feynman · 1985
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Classical and Quantum Computation
A. Yu. Kitaev, A. H. Shen, and M. N. Vyalyi · 2002
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Quantum computing with an always-on heisenberg interaction
Simon C. Benjamin and Sougato Bose · 2003
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Both toffoli and controlled-not need little help to do universal quantum computing
Yaoyun Shi · 2003
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Adiabatic quantum computation is equivalent to standard quantum computation
D. Aharonov, W. van Dam, J. Kempe, Z. Landau, S. Lloyd, and O. Regev · 2004
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Quantum computing in arrays coupled by “always-on” interactions
Simon C. Benjamin and Sougato Bose · 2004
Earlier work this paper cites.
Universal resources for measurement-based quantum computation
Maarten Van den Nest, Akimasa Miyake, Wolfgang Dür, and Hans J. Briegel · 2006
Earlier work this paper cites.
Realizable Hamiltonians for universal adiabatic quantum computers
Jacob D. Biamonte and Peter J. Love · 2008
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Universal computation by quantum walk
Andrew M. Childs · 2009
Earlier work this paper cites.
Universal quantum computation using the discrete-time quantum walk
Neil B. Lovett, Sally Cooper, Matthew Everitt, Matthew Trevers, and Viv Kendon · 2010
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A Quantum Approximate Optimization Algorithm
Edward Farhi, Jeffrey Goldstone, and Sam 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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Improved classical simulation of quantum circuits dominated by clifford gates
Sergey Bravyi and David Gosset · 2016
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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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Quantum machine learning
Quantum optimization using variational algorithms on near-term quantum devices
Nikolaj Moll, Panagiotis Barkoutsos, Lev S Bishop, Jerry M Chow, Andrew Cross, Daniel J Egger, Stefan Filipp, Andreas Fuhrer, Jay M Gambetta, Marc Ganzhorn, and et al · 2018
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Quantum Computing in the NISQ era and beyond
John Preskill · 2018
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Parameterized quantum circuits as machine learning models
Marcello Benedetti, Erika Lloyd, Stefan Sack, and Mattia Fiorentini · 2019
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Simulation of quantum circuits by low-rank stabilizer decompositions
Sergey Bravyi, Dan Browne, Padraic Calpin, Earl Campbell, David Gosset, and Mark Howard · 2019
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From the quantum approximate optimization algorithm to a quantum alternating operator ansatz
Stuart Hadfield, Zhihui Wang, Bryan O’Gorman, Eleanor Rieffel, Davide Venturelli, and Rupak Biswas · 2019
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J. Biamonte, P. Wittek, N. Pancotti, P. Rebentrost, N. Wiebe, and S. Lloyd · 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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Efficient variational quantum simulator incorporating active error minimization
Ying Li and Simon C. Benjamin · 2017
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A quantum algorithm to train neural networks using low-depth circuits
Guillaume Verdon, Michael Broughton, and Jacob Biamonte · 2017
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Learning the quantum algorithm for state overlap
Lukasz Cincio, Yiğit Subașı, Andrew T. Sornborger, and Patrick J. Coles · 2018
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Quantum approximate optimization is computationally universal
Seth Lloyd · 2018
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Reachability deficits in quantum approximate optimization
V. Akshay, H. Philathong, M. E. S. Morales, and J. Biamonte · 2020
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Variational quantum linear solver, 2020
Carlos Bravo-Prieto, Ryan LaRose, M. Cerezo, Yigit Subasi, Lukasz Cincio, and Patrick J. Coles · 2020
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Certified variational quantum algorithms for eigenstate preparation
Andrey Kardashin, Alexey Uvarov, Dmitry Yudin, and Jacob Biamonte · 2020
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Variational quantum algorithms for nonlinear problems
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On the universality of the quantum approximate optimization algorithm
M. E. S. Morales, J. D. Biamonte, and Z. Zimborás · 2020
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Machine learning phase transitions with a quantum processor
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