3 papers
cond-mat.str-el2026
Scaling universal Fermi network toward ground states: A diffusion-Monte-Carlo assessment
Yu-Sheng Li, Saskia Poldmaa, Tzen Ong +4
In this work, we show that Fermi Sets---a provably universal neural network architecture for fermionic wavefunctions---can be systematically scaled up to find interacting ground st…
cond-mat.supr-con2026
Attention is all you need to solve chiral superconductivity
Chun-Tse Li, Tzen Ong, Max Geier +2
Recent advances on neural quantum states have shown that correlations between quantum particles can be efficiently captured by attention -- a foundation of modern neural architectu…
cond-mat.mtrl-sci2025
Quantum metric non-linear Hall effect in an antiferromagnetic topological insulator thin-film EuSn2As2
Hung-Ju Tien, Hsin Lin, Liang Fu +1
The quantum geometric structure of electrons introduces fundamental insights into understanding quantum effects in materials. One notable manifestation is the non-linear Hall effec…