Diagrammatic Monte Carlo for correlated fermions
We show that Monte Carlo sampling of the Feynman diagrammatic series (DiagMC) can be used for tackling hard fermionic quantum many-body problems in the thermodynamic limit by presenting accurate results for the repulsive Hubbard model in the correlated Fermi liquid regime. Sampling Feynman's di...
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Veröffentlicht in: | Europhysics letters 2010-04, Vol.90 (1), p.10004 |
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creator | Kozik, E Van Houcke, K Gull, E Pollet, L Prokof'ev, N Svistunov, B Troyer, M |
description | We show that Monte Carlo sampling of the Feynman diagrammatic series (DiagMC) can be used for tackling hard fermionic quantum many-body problems in the thermodynamic limit by presenting accurate results for the repulsive Hubbard model in the correlated Fermi liquid regime. Sampling Feynman's diagrammatic series for the single-particle self-energy, we can study moderate values of the on-site repulsion (U/t ~ 4) and temperatures down to T/t = 1/40. We compare our results with high-temperature series expansions and with single-site and cluster dynamical mean-field theory. |
doi_str_mv | 10.1209/0295-5075/90/10004 |
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Sampling Feynman's diagrammatic series for the single-particle self-energy, we can study moderate values of the on-site repulsion (U/t ~ 4) and temperatures down to T/t = 1/40. 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Sampling Feynman's diagrammatic series for the single-particle self-energy, we can study moderate values of the on-site repulsion (U/t ~ 4) and temperatures down to T/t = 1/40. We compare our results with high-temperature series expansions and with single-site and cluster dynamical mean-field theory.</description><subject>02.70.Ss</subject><subject>05.30.Fk</subject><subject>71.10.Fd</subject><subject>Clusters</subject><subject>Computer simulation</subject><subject>Correlation</subject><subject>Fermi liquids</subject><subject>Fermions</subject><subject>Monte Carlo methods</subject><subject>Sampling</subject><subject>Series expansion</subject><issn>0295-5075</issn><issn>1286-4854</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqN0E1LxDAQBuAgCq6rf8BTj4LUnXw16VFW1wqrXlY8hrRJpNpualJB_70tlUXx4mlgeN4XZhA6xXCBCeQLIDlPOQi-yGGBAYDtoRkmMkuZ5GwfzXbgEB3F-AKAscTZDMFVrZ-Dblvd11Vy57e9TZY6ND5xPiSVD8E2urcmcTa0td_GY3TgdBPtyfeco8fV9WZZpOuHm9vl5TqtGJd96kpqBAadG1ICkYxIXBnBpLA0586UQLmgQCoGJjMVgAYnSZ6JDFuwppR0js6m3i74t3cbe9XWsbJNo7fWv0eFM4EpFoSTgZKJVsHHGKxTXahbHT4VBjW-R43Xq_F6lQ-b8T1DKJ1Cdeztxy6hw6vKBB2khCe1KgpG7jdSFT-87_7Xf_7X_3aTVJ1x9AsW8H9z</recordid><startdate>20100401</startdate><enddate>20100401</enddate><creator>Kozik, E</creator><creator>Van Houcke, K</creator><creator>Gull, E</creator><creator>Pollet, L</creator><creator>Prokof'ev, N</creator><creator>Svistunov, B</creator><creator>Troyer, M</creator><general>IOP Publishing</general><general>EDP Sciences</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20100401</creationdate><title>Diagrammatic Monte Carlo for correlated fermions</title><author>Kozik, E ; Van Houcke, K ; Gull, E ; Pollet, L ; Prokof'ev, N ; Svistunov, B ; Troyer, M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c458t-fb3d710a9d2b0284281cd7487e395fdb0357302c40d6dc00a0f8296761e0edb83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>02.70.Ss</topic><topic>05.30.Fk</topic><topic>71.10.Fd</topic><topic>Clusters</topic><topic>Computer simulation</topic><topic>Correlation</topic><topic>Fermi liquids</topic><topic>Fermions</topic><topic>Monte Carlo methods</topic><topic>Sampling</topic><topic>Series expansion</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kozik, E</creatorcontrib><creatorcontrib>Van Houcke, K</creatorcontrib><creatorcontrib>Gull, E</creatorcontrib><creatorcontrib>Pollet, L</creatorcontrib><creatorcontrib>Prokof'ev, N</creatorcontrib><creatorcontrib>Svistunov, B</creatorcontrib><creatorcontrib>Troyer, M</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Europhysics letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kozik, E</au><au>Van Houcke, K</au><au>Gull, E</au><au>Pollet, L</au><au>Prokof'ev, N</au><au>Svistunov, B</au><au>Troyer, M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagrammatic Monte Carlo for correlated fermions</atitle><jtitle>Europhysics letters</jtitle><date>2010-04-01</date><risdate>2010</risdate><volume>90</volume><issue>1</issue><spage>10004</spage><pages>10004-</pages><issn>0295-5075</issn><eissn>1286-4854</eissn><abstract>We show that Monte Carlo sampling of the Feynman diagrammatic series (DiagMC) can be used for tackling hard fermionic quantum many-body problems in the thermodynamic limit by presenting accurate results for the repulsive Hubbard model in the correlated Fermi liquid regime. 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subjects | 02.70.Ss 05.30.Fk 71.10.Fd Clusters Computer simulation Correlation Fermi liquids Fermions Monte Carlo methods Sampling Series expansion |
title | Diagrammatic Monte Carlo for correlated fermions |
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