419 citations · 1.7k across the 15 of their papers we have counts for
5 papers · 1 filter
Automatic differentiation of dominant eigensolver and its applications in quantum physics
Hao Xie, Jin-Guo Liu, Lei Wang
We investigate the automatic differentiation of dominant eigensolver where only a small proportion of eigenvalues and corresponding eigenvectors are obtained. Backpropagation throu…
Tensor network representations of parton wave functions
Ying-Hai Wu, Lei Wang, Hong-Hao Tu
Tensor network states and parton wave functions are two pivotal methods for studying quantum many-body systems. This work connects these two subjects as we demonstrate that a varie…
Differentiable Programming Tensor Networks
Hai-Jun Liao, Jin-Guo Liu, Lei Wang +1
Differentiable programming is a fresh programming paradigm which composes parameterized algorithmic components and trains them using automatic differentiation (AD). The concept eme…
Equivalence of restricted Boltzmann machines and tensor network states
Jing Chen, Song Cheng, Haidong Xie +2
The restricted Boltzmann machine (RBM) is one of the fundamental building blocks of deep learning. RBM finds wide applications in dimensional reduction, feature extraction, and rec…
Detecting phase transitions and crossovers in Hubbard models using the fidelity susceptibility
Li Huang, Yilin Wang, Lei Wang +1
A generalized version of the fidelity susceptibility of single-band and multi-orbital Hubbard models is systematically studied using single-site dynamical mean-field theory in comb…