5 citations · 9 across the 4 of their papers we have counts for
4 papers
Pareto Frontier of Neural Quantum States: Scalable, Affordable, and Accurate Convolutional Backflow for Strongly Correlated Lattice Fermions
Yuntian Gu, Zeyao Han, Wenrui Li +5
Neural Quantum States (NQS) are now among the most accurate methods for studying strongly correlated many-fermion systems, outperforming existing many-body approaches for large sys…
NNQS-AFQMC: Neural network quantum states enhanced fermionic quantum Monte Carlo
Zhi-Yu Xiao, Bowen Kan, Huan Ma +2
We introduce an efficient approach to implement neural network quantum states (NNQS) as trial wavefunctions in auxiliary-field quantum Monte Carlo (AFQMC). NNQS are a recently deve…
Implementing advanced trial wave functions in fermion quantum Monte Carlo via stochastic sampling
Zhi-Yu Xiao, Zixiang Lu, Yixiao Chen +2
We introduce an efficient approach to implement correlated many-body trial wave functions in auxiliary-field quantum Monte Carlo (AFQMC). To control the sign/phase problem in AFQMC…
Correlation effects in magic-angle twisted bilayer graphene: An auxiliary-field quantum Monte Carlo study
Zhi-Yu Xiao, Shiwei Zhang
Magic angle twisted bilayer graphene (MATBG) presents a fascinating platform for investigating the effects of electron interactions in topological flat bands. The Bistritzer-MacDon…