How To Use Neural Networks To Investigate Quantum Many-Body Physics-Reference-Cited by-同舟云学术

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How To Use Neural Networks To Investigate Quantum Many-Body Physics

Published:2021-11-12 Issue:4 Volume:2 Page:
ISSN:2691-3399
Container-title:PRX Quantum
language:en
Short-container-title:PRX Quantum

Author:

Carrasquilla Juan,Torlai Giacomo^ORCID

Funder

Simons Foundation

Natural Sciences and Engineering Research Council of Canada

Compute Canada

CIFAR

Shared Hierarchical Academic Research Computing Network

Google Quantum Research Award

Publisher

American Physical Society (APS)

Subject

General Medicine

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PRXQuantum.2.040201/fulltext

Reference176 articles.

1. Quantum Monte Carlo

2. The loop algorithm

3. Stochastic series expansion method with operator-loop update

4. Density matrix formulation for quantum renormalization groups

Cited by 37 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Convolutional restricted Boltzmann machine correlated variational wave function for the Hubbard model on a square lattice;Physical Review B;2024-09-11

2. Two mass-imbalanced atoms in a hard-wall trap: Deep learning integrability of many-body systems;Physical Review E;2024-08-22

3. Deep neural networks as variational solutions for correlated open quantum systems;Communications Physics;2024-08-07

4. Identification of quantum entanglement with Siamese convolutional neural networks and semisupervised learning;Physical Review Applied;2024-07-26

5. Neural-network quantum states for many-body physics;The European Physical Journal Plus;2024-07-19

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