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

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.

Keywords

• quantum mechanics
• neural network quantum state
• high-performance simulations
• strongly correlated materials