62 citations · 110 across the 4 of their papers we have counts for
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cond-mat.str-el2018
Solving frustrated quantum many-particle models with convolutional neural networks
Xiao Liang, Wen-Yuan Liu, Pei-Ze Lin +3
Recently, there has been significant progress in solving quantum many-particle problem via machine learning based on the restricted Boltzmann machine. However, it is still highly c…
cond-mat.str-el2018
Gapless spin liquid ground state of spin-1/2 - Heisenberg model on square lattices
Wen-Yuan Liu, Shaojun Dong, Chao Wang +4
The spin-1/2 - Heisenberg model on square lattices are investigated via the finite projected entangled pair states (PEPS) method. Using the recently developed gradient op…
cond-mat.str-el2018
PEPS++: Towards Extreme-scale Simulations of Strongly Correlated Quantum Many-particle Models on Sunway TainhuLight
Lixin He, Hong An, Chao Yang +10
The study of strongly frustrated magnetic systems has drawn great attentions from both theoretical and experimental physics. Efficient simulations of these models are essential for…