5 papers
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…
Flux-noise-resilient transmon qubit via a doubly-connected gradiometric design
J. B. Fu, Da-Wei Wang, B. Ren +12
Frequency-tunable superconducting transmon qubits are a cornerstone of scalable quantum processors, yet their performance is often degraded by sensitivity to low-frequency flux noi…
Engineering photonic dispersion relation and atomic dynamics in waveguide QED setup via long-range hoppings
Weijun Cheng, Da-Wei Wang, Yang Xue +2
Non-trivial dispersion relations engineered in photonic waveguide for the precise control of atomic dynamics has recently attracted considerable attention. Here, we study a system…
Realizing the Haldane Model in Thermal Atoms
Jiefei Wang, Jianhao Dai, Ruosong Mao +7
Topological materials hold great promise for developing next-generation devices with transport properties that remain resilient in the presence of local imperfections. However, the…
A Unsupervised Framework for Identifying Diverse Quantum Phase Transitions Using Classical Shadow Tomography
Chi-Ting Ho, Daw-Wei Wang
We provide a general machine learning methodology that integrates classical shadow representations with unsupervised principal component analysis (PCA) to explore various quantum p…