3 papers
quant-ph2026
Revealing Physical Redundancy in the Two-dimensional Fermi-Hubbard Model via Transferable Observable Reconstruction
Ao-Ning Wang, Min-Quan He, Z. D. Wang
The Fermi-Hubbard model provides a paradigmatic setting for studying strongly correlated quantum matter, where different observables are commonly used to probe charge, interaction,…
quant-ph2025
AI-enhanced Quantum Simulation of Schwinger Model
Ao-Ning Wang, Min-Quan He, Z. D. Wang
The Schwinger Model from Quantum Electrodynamics (QED) has long served as a valuable simplified model for exploring key physical phenomena in Quantum Chromodynamics (QCD)-a field r…
stat.ML2025
DPOT: A DeepParticle method for Computation of Optimal Transport with convergence guarantee
Yingyuan Li, Aokun Wang, Zhongjian Wang
In this work, we propose a novel machine learning approach to compute the optimal transport map between two continuous distributions from their unpaired samples, based on the DeepP…