3 papers
quant-ph2026
Optimization landscapes of variational quantum algorithms
Xiaozhen Ge, Shuming Cheng, Guofeng Zhang +1
Optimization plays a central role in variational quantum algorithms, where the objective function typically takes the form $F(\boldsymbolθ)= \sum_{m=1}^{M} f_m \left(\mathrm{Tr}[U…
quant-ph2026
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…
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…