Deep learning-enhanced variational Monte Carlo method for quantum many-body physics
Author:
Funder
National Science Foundation
Welch Foundation
U.S. Department of Energy
Publisher
American Physical Society (APS)
Subject
General Engineering
Link
http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevResearch.2.012039/fulltext
Reference45 articles.
1. Solving the quantum many-body problem with artificial neural networks
2. Restricted Boltzmann machine learning for solving strongly correlated quantum systems
3. Machine Learning Technique to Find Quantum Many-Body Ground States of Bosons on a Lattice
4. Approximating quantum many-body wave functions using artificial neural networks
5. Constructing exact representations of quantum many-body systems with deep neural networks
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