15 citations · 15 across the 1 of their papers we have counts for
3 papers
quant-ph2022★ 15 cited
Exponentially Complex Quantum Many-Body Simulation via Scalable Deep Learning Method
Xiao Liang, Mingfan Li, Qian Xiao +12
For decades, people are developing efficient numerical methods for solving the challenging quantum many-body problem, whose Hilbert space grows exponentially with the size of the p…
cond-mat.str-el2021
Bridging the Gap between Deep Learning and Frustrated Quantum Spin System for Extreme-scale Simulations on New Generation of Sunway Supercomputer
Mingfan Li, Junshi Chen, Qian Xiao +7
Efficient numerical methods are promising tools for delivering unique insights into the fascinating properties of physics, such as the highly frustrated quantum many-body systems.…
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…