Network-Initialized Monte Carlo Based on Generative Neural Networks

doi:10.1088/0256-307X/39/5/050701

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	Network-Initialized Monte Carlo Based on Generative Neural Networks
	Lu, Hongyu ; Li, Chuhao 5,6,7; Chen, Bin-Bin ; Li, Wei 8,9; Qi, Yang 1,2; Meng, Zi Yang 4
刊名	CHINESE PHYSICS LETTERS
	2022
卷号	39 期号:5 页码:50701
关键词	CHARGE-DENSITY-WAVE HUBBARD-MODEL QUANTUM PHASES
ISSN号	0256-307X
DOI	10.1088/0256-307X/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
内容类型	期刊论文
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.