3 papers
cond-mat.str-el2026
lrux: Fast low-rank updates of determinants and Pfaffians in JAX
Ao Chen, Christopher Roth
We present lrux, a JAX-based software package for fast low-rank updates of determinants and Pfaffians, targeting the dominant computational bottleneck in various quantum Monte Carl…
cond-mat.supr-con2025
Superconductivity in the two-dimensional Hubbard model revealed by neural quantum states
Christopher Roth, Ao Chen, Anirvan Sengupta +1
Whether the ground state of the square lattice Hubbard model exhibits superconductivity remains a major open question, central to understanding high temperature cuprate superconduc…
cond-mat.str-el2025
Neural Network-Augmented Pfaffian Wave-functions for Scalable Simulations of Interacting Fermions
Ao Chen, Zhou-Quan Wan, Anirvan Sengupta +2
Developing accurate numerical methods for strongly interacting fermions is crucial for improving our understanding of various quantum many-body phenomena, especially unconventional…