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Network-Initialized Monte Carlo Based on Generative Neural Networks

文献类型：期刊论文

作者Lu, Hongyu; Li, Chuhao5,6,7; Chen, Bin-Bin; Li, Wei8,9; Qi, Yang1,2; Meng, Zi Yang4
刊名CHINESE PHYSICS LETTERS
出版日期2022
卷号39期号:5页码:50701
关键词CHARGE-DENSITY-WAVE HUBBARD-MODEL QUANTUM PHASES
ISSN号0256-307X
DOI10.1088/0256-307X/39/5/050701
英文摘要We design generative neural networks that generate Monte Carlo configurations with complete absence of autocorrelation from which only short Markov chains are needed before making measurements for physical observables, irrespective of the system locating at the classical critical point, fermionic Mott insulator, Dirac semimetal, or quantum critical point. We further propose a network-initialized Monte Carlo scheme based on such neural networks, which provides independent samplings and can accelerate the Monte Carlo simulations by significantly reducing the thermalization process. We demonstrate the performance of our approach on the two-dimensional Ising and fermion Hubbard models, expect that it can systematically speed up the Monte Carlo simulations especially for the very challenging many-electron problems.
学科主题Physics
语种英语
源URL[http://ir.itp.ac.cn/handle/311006/27805]  
专题理论物理研究所_理论物理所1978-2010年知识产出
作者单位1.Fudan Univ, State Key Lab Surface Phys, Shanghai 200438, Peoples R China
2.Beihang Univ, Sch Phys, Beijing 100191, Peoples R China
3.Fudan Univ, Dept Phys, Ctr Field Theory & Particle Phys, Shanghai 200433, Peoples R China
4.Univ Hong Kong, Dept Phys, Hong Kong, Peoples R China
5.Univ Hong Kong, HKU UCAS Joint Inst Theoret & Computat Phys, Hong Kong, Peoples R China
6.Chinese Acad Sci, Beijing Natl Lab Condensed Matter Phys, Beijing 100190, Peoples R China
7.Chinese Acad Sci, Inst Phys, Beijing 100190, Peoples R China
8.Univ Chinese Acad Sci, Sch Phys Sci, Beijing 100190, Peoples R China
9.Chinese Acad Sci, Inst Theoret Phys, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Lu, Hongyu,Li, Chuhao,Chen, Bin-Bin,et al. Network-Initialized Monte Carlo Based on Generative Neural Networks[J]. CHINESE PHYSICS LETTERS,2022,39(5):50701.
APA Lu, Hongyu,Li, Chuhao,Chen, Bin-Bin,Li, Wei,Qi, Yang,&Meng, Zi Yang.(2022).Network-Initialized Monte Carlo Based on Generative Neural Networks.CHINESE PHYSICS LETTERS,39(5),50701.
MLA Lu, Hongyu,et al."Network-Initialized Monte Carlo Based on Generative Neural Networks".CHINESE PHYSICS LETTERS 39.5(2022):50701.

入库方式： OAI收割

来源：理论物理研究所

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