Jun-Jie Chen

activity

20182022

most citedFaster State Preparation across Quantum Phase Transition Assisted by Reinforcement Learning

45 citations · 89 across the 5 of their papers we have counts for

collaborators

Showing 2019Show all

2 papers · 1 filter

cond-mat.quant-gas2019★ 28 cited

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 $\propto 1/ N$ . The rudimentary one-axis twisting (OAT) int…

quant-ph2019★ 6 cited

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…