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Hybrid Auxiliary Field Quantum Monte Carlo for Molecular Systems
[Image: see text] We propose a quantum Monte Carlo approach to solve the many-body Schrödinger equation for the electronic ground state. The method combines optimization from variational Monte Carlo and propagation from auxiliary field quantum Monte Carlo in a way that significantly alleviates the s...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373495/ https://www.ncbi.nlm.nih.gov/pubmed/37071815 http://dx.doi.org/10.1021/acs.jctc.3c00038 |
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author | Chen, Yixiao Zhang, Linfeng E, Weinan Car, Roberto |
author_facet | Chen, Yixiao Zhang, Linfeng E, Weinan Car, Roberto |
author_sort | Chen, Yixiao |
collection | PubMed |
description | [Image: see text] We propose a quantum Monte Carlo approach to solve the many-body Schrödinger equation for the electronic ground state. The method combines optimization from variational Monte Carlo and propagation from auxiliary field quantum Monte Carlo in a way that significantly alleviates the sign problem. In application to molecular systems, we obtain highly accurate results for configurations dominated by either dynamic or static electronic correlation. |
format | Online Article Text |
id | pubmed-10373495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-103734952023-07-28 Hybrid Auxiliary Field Quantum Monte Carlo for Molecular Systems Chen, Yixiao Zhang, Linfeng E, Weinan Car, Roberto J Chem Theory Comput [Image: see text] We propose a quantum Monte Carlo approach to solve the many-body Schrödinger equation for the electronic ground state. The method combines optimization from variational Monte Carlo and propagation from auxiliary field quantum Monte Carlo in a way that significantly alleviates the sign problem. In application to molecular systems, we obtain highly accurate results for configurations dominated by either dynamic or static electronic correlation. American Chemical Society 2023-04-18 /pmc/articles/PMC10373495/ /pubmed/37071815 http://dx.doi.org/10.1021/acs.jctc.3c00038 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Chen, Yixiao Zhang, Linfeng E, Weinan Car, Roberto Hybrid Auxiliary Field Quantum Monte Carlo for Molecular Systems |
title | Hybrid Auxiliary
Field Quantum Monte Carlo for Molecular
Systems |
title_full | Hybrid Auxiliary
Field Quantum Monte Carlo for Molecular
Systems |
title_fullStr | Hybrid Auxiliary
Field Quantum Monte Carlo for Molecular
Systems |
title_full_unstemmed | Hybrid Auxiliary
Field Quantum Monte Carlo for Molecular
Systems |
title_short | Hybrid Auxiliary
Field Quantum Monte Carlo for Molecular
Systems |
title_sort | hybrid auxiliary
field quantum monte carlo for molecular
systems |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373495/ https://www.ncbi.nlm.nih.gov/pubmed/37071815 http://dx.doi.org/10.1021/acs.jctc.3c00038 |
work_keys_str_mv | AT chenyixiao hybridauxiliaryfieldquantummontecarloformolecularsystems AT zhanglinfeng hybridauxiliaryfieldquantummontecarloformolecularsystems AT eweinan hybridauxiliaryfieldquantummontecarloformolecularsystems AT carroberto hybridauxiliaryfieldquantummontecarloformolecularsystems |