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Variational hybrid quantum-classical algorithms (VHQCAs) have the potential to be useful in the era of near-term quantum computing.
M. J. Powell, An efficient method for finding the minimum of a function of several variables without calculating derivatives, The Computer Journal 7
1964
Earlier work this paper cites.
D. G. Anderson, Iterative procedures for nonlinear integral equations, Journal of the ACM (JACM) 12
1965
Earlier work this paper cites.
P. Pulay, Improved scf convergence acceleration, Journal of Computational Chemistry 3
1982
Earlier work this paper cites.
J. C. Spall, Multivariate stochastic approximation using a simultaneous perturbation gradient approximation, IEEE transactions on automatic control 37
1992
Earlier work this paper cites.
J. C. Spall, Implementation of the simultaneous perturbation algorithm for stochastic optimization, IEEE Transactions on aerospace and electronic systems 34
1998
Earlier work this paper cites.
J. S. Bergstra, R. Bardenet, Y. Bengio, and B. Kégl, in Advances in Neural Information Processing Systems 24 (2011) pp. 2546–2554
2011
Earlier work this paper cites.
R. P. Brent, Algorithms for Minimization Without Derivatives (Dover Publications, 2013)
2013
Earlier work this paper cites.
A. Peruzzo, J. McClean, P. Shadbolt, M.-H. Yung, X.-Q. Zhou, P. J. Love, A. Aspuru-Guzik, and J. L. O’brien, A variational eigenvalue solver on a photonic quantum processor, Nature Communications 5
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
D. Wecker, M. B. Hastings, and M. Troyer, Progress towards practical quantum variational algorithms, Phys. Rev. A 92
2015
Earlier work this paper cites.
2015
Earlier work this paper cites.
Y. LeCun, Y. Bengio, and G. Hinton, Deep learning, Nature 521
2015
Earlier work this paper cites.
J. R. McClean, J. Romero, R. Babbush, and A. Aspuru-Guzik, The theory of variational hybrid quantum-classical algorithms, New Journal of Physics 18
2016
Earlier work this paper cites.
2017
Earlier work this paper cites.
J. Romero, J. P. Olson, and A. Aspuru-Guzik, Quantum autoencoders for efficient compression of quantum data, Quantum Science and Technology 2
2017
Earlier work this paper cites.
Y. Li and S. C. Benjamin, Efficient variational quantum simulator incorporating active error minimization, Physical Review X 7
2017
Earlier work this paper cites.
L. Balles, J. Romero, and P. Hennig, in Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence (UAI) (2017) pp. 410–419
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
A. Kandala, A. Mezzacapo, K. Temme, M. Takita, M. Brink, J. M. Chow, and J. M. Gambetta, Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets, Nature 549
2017
Earlier work this paper cites.
J. Preskill, Quantum computing in the NISQ era and beyond, Quantum 2
2018
Earlier work this paper cites.
2018
Cited alongside, same era.
2018
Cited alongside, same era.
2018
Cited alongside, same era.
Y. Cao, J. Romero, J. P. Olson, M. Degroote, P. D. Johnson, M. Kieferová, I. D. Kivlichan, T. Menke, B. Peropadre, N. P. Sawaya, et al. , Quantum chemistry in the age of quantum computing, Chemical reviews (2018), 10.1021/acs.chemrev.8b00803
2018
Cited alongside, same era.
2019
Closest in time.
2019
Closest in time.
2019
Closest in time.
2019
Closest in time.
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2018
Cited alongside, same era.
K. Mitarai, M. Negoro, M. Kitagawa, and K. Fujii, Quantum circuit learning, Phys. Rev. A 98
2018
Cited alongside, same era.
2018
Cited alongside, same era.
IBM Q 16 Melbourne backend specification, https://github.com/Qiskit/ibmq-device-information/tree/master/backends/melbourne/V1 (2018)
2018
Cited alongside, same era.
R. LaRose, A. Tikku, É. O’Neel-Judy, L. Cincio, and P. J. Coles, Variational quantum state diagonalization, npj Quantum Information 5
2019
Cited alongside, same era.
A. Arrasmith, L. Cincio, A. T. Sornborger, W. H. Zurek, and P. J. Coles, Variational consistent histories as a hybrid algorithm for quantum foundations, Nature Communications 10
2019
Cited alongside, same era.
T. Jones, S. Endo, S. McArdle, X. Yuan, and S. C. Benjamin, Variational quantum algorithms for discovering hamiltonian spectra, Physical Review A 99
2019
Cited alongside, same era.
X. Yuan, S. Endo, Q. Zhao, Y. Li, and S. C. Benjamin, Theory of variational quantum simulation, Quantum 3
2019
Cited alongside, same era.
2019
Closest in time.
2019
Closest in time.
2019
Closest in time.
2019
Closest in time.
2019
Closest in time.
2019
Closest in time.
2019
Closest in time.
J. Stokes, J. Izaac, N. Killoran, and G. Carleo, Quantum natural gradient, arXiv:1909.02108 (2019)
2019
Closest in time.
G. A. et.al., Qiskit: An Open-source Framework for Quantum Computing, (2019)
2019
Closest in time.
M. Schuld, V. Bergholm, C. Gogolin, J. Izaac, and N. Killoran, Evaluating analytic gradients on quantum hardware, Phys. Rev. A 99
2019
Closest in time.
2019
Closest in time.
2019
Closest in time.
2019
Closest in time.
M. Cerezo, A. Poremba, L. Cincio, and P. J. Coles, Variational quantum fidelity estimation, Quantum 4
2020
Closest in time.
K. Sharma, S. Khatri, M. Cerezo, and P. Coles, Noise resilience of variational quantum compiling, New Journal of Physics (2020), 10.1088/1367-2630/ab784c
2020
Closest in time.