3 papers
quant-ph2026
Quantum Flow Matching
Zidong Cui, Pan Zhang, Ying Tang
The flow matching has rapidly become a dominant paradigm in classical generative modeling, offering an efficient way to interpolate between two complex distributions. We extend thi…
q-bio.MN2025
Tracking large chemical reaction networks and rare events by neural networks
Jiayu Weng, Xinyi Zhu, Jing Liu +3
Chemical reaction networks are widely used to model stochastic dynamics in chemical kinetics, systems biology and epidemiology. Solving the chemical master equation that governs th…
cond-mat.stat-mech2025
Efficient Optimization of Variational Autoregressive Networks with Natural Gradient
Jing Liu, Ying Tang, Pan Zhang
Estimating free energy is a fundamental problem in statistical mechanics. Recently, machine-learning-based methods, particularly the variational autoregressive networks (VANs) have…