Fetching the paper…
Reading the bibliography…
A notion of quantum natural evolution strategies is introduced, which provides a geometric synthesis of a number of known quantum/classical algorithms for performing classical black-box optimization.
Ground state of liquid he 4 {\mathrm{he}}^{4}
W. L. McMillan · 1965
Earlier work this paper cites.
Evolutionsstrategien
I. Rechenberg · 1978
Earlier work this paper cites.
Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming
M. X. Goemans and D. P. Williamson · 1995
Earlier work this paper cites.
Natural gradient works efficiently in learning
S.-I. Amari · 1998
Earlier work this paper cites.
Green function monte carlo with stochastic reconfiguration
S. Sorella · 1998
Earlier work this paper cites.
A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization
S. Burer and R. D. Monteiro · 2001
Earlier work this paper cites.
Probability and Computing: Randomized Algorithms and Probabilistic Analysis
M. Mitzenmacher and E. Upfal · 2005
Earlier work this paper cites.
Trust-region methods on Riemannian manifolds
P.-A. Absil, C. G. Baker, and K. A. Gallivan · 2007
Earlier work this paper cites.
An information geometry perspective on estimation of distribution algorithms: boundary analysis
L. Malagò, M. Matteucci, and B. Dal Seno · 2008
Earlier work this paper cites.
Low-rank optimization on the cone of positive semidefinite matrices
M. Journée, F. Bach, P.-A. Absil, and R. Sepulchre · 2010
Earlier work this paper cites.
Towards the geometry of estimation of distribution algorithms based on the exponential family
L. Malagò, M. Matteucci, and G. Pistone · 2011
Earlier work this paper cites.
Expressive power and approximation errors of restricted boltzmann machines
G. F. Montúfar, J. Rauh, and N. Ay · 2011
Cited alongside, same era.
Adadelta: An adaptive learning rate method, 2012
M. D. Zeiler · 2012
Cited alongside, same era.
On the importance of initialization and momentum in deep learning
I. Sutskever, J. Martens, G. Dahl, and G. Hinton · 2013
Cited alongside, same era.
Manopt, a matlab toolbox for optimization on manifolds
N. Boumal, B. Mishra, P.-A. Absil, and R. Sepulchre · 2014
Cited alongside, same era.
A quantum approximate optimization algorithm
E. Farhi, J. Goldstone, and S. Gutmann · 2014
Cited alongside, same era.
Natural evolution strategies
D. Wierstra, T. Schaul, T. Glasmachers, Y. Sun, J. Peters, and J. Schmidhuber · 2014
Information-geometric optimization algorithms: A unifying picture via invariance principles
Y. Ollivier, L. Arnold, A. Auger, and N. Hansen · 2017
Later among the works it cites.
Evolution strategies as a scalable alternative to reinforcement learning
T. Salimans, J. Ho, X. Chen, S. Sidor, and I. Sutskever · 2017
Later among the works it cites.
A rewriting system for convex optimization problems
A. Agrawal, R. Verschueren, S. Diamond, and S. Boyd · 2018
Later among the works it cites.
Netket: A machine learning toolkit for many-body quantum systems
G. Carleo, K. Choo, D. Hofmann, J. E. Smith, T. Westerhout, F. Alet, E. J. Davis, S. Efthymiou, I. Glasser, S.-H. Lin, and et al · 2019
Later among the works it cites.
Classical quantum optimization with neural network quantum states
J. Gomes, K. A. McKiernan, P. Eastman, and V. S. Pande · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2015
Cited alongside, same era.
The non-convex burer–monteiro approach works on smooth semidefinite programs
N. Boumal, V. Voroninski, and A. S. Bandeira · 2016
Cited alongside, same era.
CVXPY: A Python-embedded modeling language for convex optimization
S. Diamond and S. Boyd · 2016
Cited alongside, same era.
Solving the quantum many-body problem with artificial neural networks
G. Carleo and M. Troyer · 2017
Cited alongside, same era.
Numerische Optimierung von Computer-Modellen mittels der Evolutionsstrategie: mit einer vergleichenden Einführung in die Hill-Climbing-und Zufallsstrategie , volume 1
H.-P. Schwefel
Cited in the paper.
Quantum natural gradient generalised to non-unitary circuits
B. Koczor and S. C. Benjamin · 2019
Later among the works it cites.
Probabilistic modeling with matrix product states
J. Stokes and J. Terilla · 2019
Later among the works it cites.
J. Stokes, J. Izaac, N. Killoran, and G. Carleo · 2019
Later among the works it cites.
Theory of variational quantum simulation
X. Yuan, S. Endo, Q. Zhao, Y. Li, and S. C. Benjamin · 2019
Later among the works it cites.
Policy gradient based quantum approximate optimization algorithm
J. Yao, M. Bukov, and L. Lin · 2020
Closest in time.