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Article: Self-learning quantum Monte Carlo method in interacting fermion systems

TitleSelf-learning quantum Monte Carlo method in interacting fermion systems
Authors
Issue Date2017
PublisherAmerican Physical Society. The Journal's web site is located at http://journals.aps.org/prb/
Citation
Physical Review B: covering condensed matter and materials physics, 2017, v. 96 n. 4, article no. 041119 How to Cite?
Abstract© 2017 American Physical Society. The self-learning Monte Carlo method is a powerful general-purpose numerical method recently introduced to simulate many-body systems. In this work, we extend it to an interacting fermion quantum system in the framework of the widely used determinant quantum Monte Carlo. This method can generally reduce the computational complexity and moreover can greatly suppress the autocorrelation time near a critical point. This enables us to simulate an interacting fermion system on a 100×100 lattice even at the critical point and obtain critical exponents with high precision.
Persistent Identifierhttp://hdl.handle.net/10722/268648
ISSN
2023 Impact Factor: 3.2
2023 SCImago Journal Rankings: 1.345
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorXu, Xiao Yan-
dc.contributor.authorQi, Yang-
dc.contributor.authorLiu, Junwei-
dc.contributor.authorFu, Liang-
dc.contributor.authorMeng, Zi Yang-
dc.date.accessioned2019-03-25T08:00:18Z-
dc.date.available2019-03-25T08:00:18Z-
dc.date.issued2017-
dc.identifier.citationPhysical Review B: covering condensed matter and materials physics, 2017, v. 96 n. 4, article no. 041119-
dc.identifier.issn2469-9950-
dc.identifier.urihttp://hdl.handle.net/10722/268648-
dc.description.abstract© 2017 American Physical Society. The self-learning Monte Carlo method is a powerful general-purpose numerical method recently introduced to simulate many-body systems. In this work, we extend it to an interacting fermion quantum system in the framework of the widely used determinant quantum Monte Carlo. This method can generally reduce the computational complexity and moreover can greatly suppress the autocorrelation time near a critical point. This enables us to simulate an interacting fermion system on a 100×100 lattice even at the critical point and obtain critical exponents with high precision.-
dc.languageeng-
dc.publisherAmerican Physical Society. The Journal's web site is located at http://journals.aps.org/prb/-
dc.relation.ispartofPhysical Review B: covering condensed matter and materials physics-
dc.titleSelf-learning quantum Monte Carlo method in interacting fermion systems-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1103/PhysRevB.96.041119-
dc.identifier.scopuseid_2-s2.0-85026901019-
dc.identifier.volume96-
dc.identifier.issue4-
dc.identifier.spagearticle no. 041119-
dc.identifier.epagearticle no. 041119-
dc.identifier.eissn2469-9969-
dc.identifier.isiWOS:000405708100002-
dc.identifier.issnl2469-9950-

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