Solving the Electronic Schrödinger Equation by Pairing Tensor-Network State with Neural Network Quantum State

@article{Kan2024,
 abstract = {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.},
 author = {Kan, Bowen and Tian, Yingqi and Xie, Daiyou and Wu, Yangjun and Fan, Yi and Shang, Honghui},
 doi = {10.3390/math12030433},
 file = {:C\:/Users/Administrator/Nutstore/1/work/shanghui_latex/my_publication/2024_01_29_Kan_Mathematics.pdf:pdf},
 issn = {22277390},
 journal = {Mathematics},
 keywords = {high-performance simulations,neural network quantum state,quantum mechanics,strongly correlated materials},
 number = {3},
 pages = {1--16},
 title = {Solving the Electronic Schrödinger Equation by Pairing Tensor-Network State with Neural Network Quantum State},
 volume = {12},
 year = {2024}
}