2 papers
quant-ph2025
Model Reduction for Augmented Model of Linear Non-Markovian Quantum Systems
Guangpu Wu, Shibei Xue, Guofeng Zhang +3
An augmented system model provides an effective way to model non-Markovian quantum systems, which is useful in filtering and control for this class of systems. However, since a lar…
quant-ph2025
Reinforcement Learning for Charging Optimization of Inhomogeneous Dicke Quantum Batteries
Xiaobin Song, Siyuan Bai, Da-Wei Wang +4
Charging optimization is a key challenge to the implementation of quantum batteries, particularly under inhomogeneity and partial observability. This paper employs reinforcement le…