activity
20182023
most citedFaster State Preparation across Quantum Phase Transition Assisted by Reinforcement Learning

45 citations · 128 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2023★ 8 cited

Cyclic nonlinear interferometry with entangled non-Gaussian spin states

Qi Liu, Tian-Wei Mao, Ming Xue +2

We propose an efficient nonlinear readout scheme for entangled non-Gaussian spin states (ENGSs) based on the intrinsic quasi-cyclic dynamics of interacting spin-1/2 systems. We foc…

cond-mat.dis-nn2022

Neural network quantum state with proximal optimization: a ground-state searching scheme based on variational Monte Carlo

Feng Chen, Ming Xue

Neural network quantum states (NQS), incorporating with variational Monte Carlo (VMC) method, are shown to be a promising way to investigate quantum many-body physics. Whereas vani…

quant-ph2022★ 35 cited

Characterizing quantum criticality and steered coherence in the XY-Gamma chain

Zhuan Zhao, Tian-Cheng Yi, Ming Xue +1

In this paper, we show that an effective spin Hamiltonian with various types of couplings can be engineered using quantum simulators in atomic-molecular-optical laboratories, dubbe…

cond-mat.quant-gas2022★ 3 cited

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…

cond-mat.quant-gas2020★ 45 cited

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…

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…

cond-mat.quant-gas2018★ 31 cited

Universal driven critical dynamics across a quantum phase transition in ferromagnetic spinor atomic Bose-Einstein condensates

Ming Xue, Shuai Yin, Li You

We study the equilibrium and dynamical properties of a ferromagnetic spinor atomic Bose-Einstein condensate. In the vicinity of the critical point for a continuous quantum phase tr…