2 papers
quant-ph2026
Intelligent Optimal Control of Rydberg Gates with Incremental-Update Deep Reinforcement Learning
Yue Cai, Hanlin Zhang, Keye Zhang +1
Deep reinforcement learning (DRL), acting as a novel and powerful paradigm for quantum optimal control, offers transformative opportunities for advancing neutral-atom quantum compu…
quant-ph2026
Quantum control and signal enhancement exploiting the Stokes-anti-Stokes coherence
Wen-Zhao Zhang, Keye Zhang, Jie Li
We present a theoretical framework for the coherent coupling between Stokes and anti-Stokes scattering processes, revealing interference phenomena inaccessible to either process al…