Solving the Electronic Schr?dinger Equation by Pairing Tensor-Network State with Neural Network Quantum State

doi:10.3390/math12030433

	Solving the Electronic Schr?dinger Equation by Pairing Tensor-Network State with Neural Network Quantum State
	Kan, Bowen 1; Tian, Yingqi 1,2; Xie, Daiyou 3; Wu, Yangjun 1; Fan, Yi 3; Shang, Honghui 3
	2024-02-01
发表期刊	MATHEMATICS
卷号	12 期号:3 页码:16
摘要	Neural network methods have shown promise for solving complex quantum many-body systems. In this study, we develop a novel approach through incorporating the density-matrix renormalization group (DMRG) method with the neural network quantum state method. The results demonstrate that, when tensor-network pre-training is introduced into the neural network, a high efficiency can be achieved for quantum many-body systems with strong correlations.
关键词	quantum mechanics neural network quantum state high-performance simulations strongly correlated materials 81-10
DOI	10.3390/math12030433
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China ; [T2222026] ; [22003073]
WOS研究方向	Mathematics
WOS类目	Mathematics
WOS记录号	WOS:001159169700001
出版者	MDPI
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/38350
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Shang, Honghui
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing 100045, Peoples R China 2.Nanjing Univ, Sch Chem & Chem Engn, Nanjing 210093, Peoples R China 3.Univ Sci & Technol China, Key Lab Precis & Intelligent Chem, Hefei 230026, Peoples R China
推荐引用方式 GB/T 7714	Kan, Bowen,Tian, Yingqi,Xie, Daiyou,et al. Solving the Electronic Schr?dinger Equation by Pairing Tensor-Network State with Neural Network Quantum State[J]. MATHEMATICS,2024,12(3):16.
APA	Kan, Bowen,Tian, Yingqi,Xie, Daiyou,Wu, Yangjun,Fan, Yi,&Shang, Honghui.(2024).Solving the Electronic Schr?dinger Equation by Pairing Tensor-Network State with Neural Network Quantum State.MATHEMATICS,12(3),16.
MLA	Kan, Bowen,et al."Solving the Electronic Schr?dinger Equation by Pairing Tensor-Network State with Neural Network Quantum State".MATHEMATICS 12.3(2024):16.