3 papers
math.DS2026
Reinforcement-Learning-Guided Data-Driven Estimation of Spectral Properties of Stochastic Koopman Semigroups
Yuanchao Xu, Jing Liu, Weiping Ding +2
Koopman spectral analysis turns nonlinear stochastic dynamics into a linear evolution of observables and gives access to decay rates, oscillatory modes, and metastable behavior. In…
nucl-th2025
Highly efficient nuclear population transfer through physics-informed neural networks
Jing Liu, Fu-Quan Dou
Nuclear coherent population transfer (NCPT) offers numerous potential applications, particularly in next-generation nuclear clocks and nuclear batteries. However, the realization o…
quant-ph2025
QuanEstimation.jl: An open-source Julia framework for quantum parameter estimation
Huai-Ming Yu, Jing Liu
As the main theoretical support of quantum metrology, quantum parameter estimation must follow the steps of quantum metrology towards the applied science and industry. Hence, optim…