Ying Tang
@yingtangphysics.bsky.social
Physicist, AI for physics, stochastic dynamics, statistical physics, generative model. Professor at UESTC, Chengdu. https://aiphysics.uestc.edu.cn/
Flow matching has become a dominant paradigm in generative modeling. We develop Quantum Flow Matching, with diverse applications: generate states with target magnetization and entanglement entropy; probe nonequilibrium free energy and superdiffusion. arxiv.org/abs/2508.12413
August 21, 2025 at 2:55 AM
Flow matching has become a dominant paradigm in generative modeling. We develop Quantum Flow Matching, with diverse applications: generate states with target magnetization and entanglement entropy; probe nonequilibrium free energy and superdiffusion. arxiv.org/abs/2508.12413