45 citations · 89 across the 5 of their papers we have counts for
5 papers
Controlling atomic spin-mixing via multiphoton transitions in a cavity
Ming Xue, Xiangliang Li, Wenhao Ye +3
We propose to control spin-mixing dynamics in a gas of spinor atoms, via the combination of two off-resonant Raman transition pathways, enabled by a common cavity mode and a bichro…
Faster State Preparation across Quantum Phase Transition Assisted by Reinforcement Learning
Shuai-Feng Guo, Feng Chen, Qi Liu +6
An energy gap develops near quantum critical point of quantum phase transition in a finite many-body (MB) system, facilitating the ground state transformation by adiabatic paramete…
Extreme Spin Squeezing from Deep Reinforcement Learning
Feng Chen, Jun-Jie Chen, Ling-Na Wu +2
Spin squeezing (SS) is a recognized resource for realizing measurement precision beyond the standard quantum limit . The rudimentary one-axis twisting (OAT) int…
Manipulation of Spin Dynamics by Deep Reinforcement Learning Agent
Jun-Jie Chen, Ming Xue
We implement the reinforcement learning agent for a spin-1 atomic system to prepare spin squeezed state from given initial state. Proximal policy gradient (PPO) algorithm is used t…
Resonant Spin Exchange between Heteronuclear Atoms Assisted by Periodic Driving
Jun-Jie Chen, Zhi-Fang Xu, Li You
We propose a general scheme for inducing resonant exchange between spins or pseudo-spins of unmatched levels via periodic driving. The basic idea is illustrated for a system of two…