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Title: Deep learning-enhanced variational Monte Carlo method for quantum many-body physics

Authors:
ORCiD logo; ; ; ; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1599679
Grant/Contract Number:  
[SC0018197]
Resource Type:
Published Article
Journal Name:
Physical Review Research (Online)
Additional Journal Information:
[Journal Name: Physical Review Research (Online) Journal Volume: 2 Journal Issue: 1]; Journal ID: ISSN 2643-1564
Publisher:
American Physical Society
Country of Publication:
United States
Language:
English

Citation Formats

Yang, Li, Leng, Zhaoqi, Yu, Guangyuan, Patel, Ankit, Hu, Wen-Jun, and Pu, Han. Deep learning-enhanced variational Monte Carlo method for quantum many-body physics. United States: N. p., 2020. Web. doi:10.1103/PhysRevResearch.2.012039.
Yang, Li, Leng, Zhaoqi, Yu, Guangyuan, Patel, Ankit, Hu, Wen-Jun, & Pu, Han. Deep learning-enhanced variational Monte Carlo method for quantum many-body physics. United States. doi:10.1103/PhysRevResearch.2.012039.
Yang, Li, Leng, Zhaoqi, Yu, Guangyuan, Patel, Ankit, Hu, Wen-Jun, and Pu, Han. Fri . "Deep learning-enhanced variational Monte Carlo method for quantum many-body physics". United States. doi:10.1103/PhysRevResearch.2.012039.
@article{osti_1599679,
title = {Deep learning-enhanced variational Monte Carlo method for quantum many-body physics},
author = {Yang, Li and Leng, Zhaoqi and Yu, Guangyuan and Patel, Ankit and Hu, Wen-Jun and Pu, Han},
abstractNote = {},
doi = {10.1103/PhysRevResearch.2.012039},
journal = {Physical Review Research (Online)},
number = [1],
volume = [2],
place = {United States},
year = {2020},
month = {2}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1103/PhysRevResearch.2.012039

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