3 citations · 4 across the 5 of their papers we have counts for
5 papers
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…
Quantum Algorithm for Low-Energy Effective Hamiltonians and Subspace Eigenvalue Problem
Chun-Tse Li, Tzen Ong, Chih-Yun Lin +3
Subspace eigenvalue problems arise ubiquitously in quantum chemistry and condensed-matter physics, where the relevant object is often a low-energy manifold rather than a single gro…
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…
A Gell-Mann & Low Theorem Perspective on Quantum Computing: New Paradigm for Designing Quantum Algorithm
Chun-Tse Li, T. Tzen Ong, Lucas Wang +3
The Gell-Mann & Low theorem is a cornerstone of Quantum Field Theory (QFT) and condensed matter physics, and many-body perturbation theory is a foundational tool for treating inter…
Feature Spectrum Topology
Baokai Wang, Yi-Chun Hung, Xiaoting Zhou +2
Topology is a fundamental aspect of quantum physics, and it has led to key breakthroughs and results in various fields of quantum materials. In condensed matters, this has culminat…