87 citations · 89 across the 6 of their papers we have counts for
Showing cond-mat.str-elShow all
3 papers · 1 filter
cond-mat.str-el2026
LaQX: A JAX Toolkit for Neural Quantum State Simulations of Lattice Quantum Many-Body Models
Yuntian Gu, Chaohui Fan, Ruichen Li +9
Neural quantum states provide accurate variational representations for interacting lattice fermions and spins. Turning a new ansatz into a reproducible calculation, however, requir…
cond-mat.str-el2026
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…
cond-mat.str-el2026
Disentangling Tensor Network States with Deep Neural Network
Chaohui Fan, Bo Zhan, Yuntian Gu +5
We introduce Neural Tensor Network States (TNS), a variational many-body wave-function ansatz that integrates deep neural networks with tensor-network architectures. In the T…