Open AccessMachine learning framework for quantum sampling of highly constrained, continuous optimization problems
Author(s) -
Blake Wilson,
Zhaxylyk A. Kudyshev,
Alexander V. Kildishev,
Sabre Kais,
Vladimir M. Shalaev,
Alexandra Boltasseva
Publication year - 2021
Publication title -
applied physics reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.084
H-Index - 66
ISSN - 1931-9401
DOI - 10.1063/5.0060481
Subject(s) - quadratic unconstrained binary optimization , computer science , bayesian optimization , mathematical optimization , surrogate model , leverage (statistics) , optimization problem , binary number , quantum annealing , quantum computer , artificial intelligence , theoretical computer science , quantum , machine learning , algorithm , mathematics , physics , arithmetic , quantum mechanics