vix.ing · top · new · best · stats · spec

Faster State Preparation across Quantum Phase Transition Assisted by Reinforcement Learning

2020/11/30 by Shuai-Feng Guo, Feng Chen, Qi Liu +8
Computer Science · Physics and Astronomy · #Adiabatic process #Cold Atom Physics and Bose-Einstein Condensates #Computer science #Excited state #Ground state #Physics #Quantum #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum computer #Quantum mechanics #Quantum phase transition #Reinforcement learning #Sensitivity (control systems) #cond-mat.quant-gas #quant-ph

paper · pdf · doi:10.1103/physrevlett.126.060401

published as Phys. Rev. Lett. 126, 060401 (2021) · 6 + 11 pages, 3 + 8 figures

openalex publication_date 2021/02/09 · arxiv created 2021/02/10 · arxiv updated 2021/02/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

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 parameter change. In real application scenarios, however, the efficacy for such a protocol is compromised by the need to balance finite system lifetime with adiabaticity, as exemplified in a recent experiment that prepares three-mode balanced Dicke state near deterministically [Y.-Q. Zou et al., Proc. Natl. Acad. Sci. U.S.A. 115, 6381 (2018)PNASA60027-842410.1073/pnas.1715105115]. Instead of tracking the instantaneous ground state as unanimously required for most adiabatic crossing, this work reports a faster sweeping policy taking advantage of excited level dynamics. It is obtained based on deep reinforcement learning (DRL) from a multistep training scheme we develop. In the absence of loss, a fidelity ≥99% between prepared and the target Dicke state is achieved over a small fraction of the adiabatically required time. When loss is included, training is carried out according to an operational benchmark, the interferometric sensitivity of the prepared state instead of fidelity, leading to better sensitivity in about half of the previously reported time. Implemented in a Bose-Einstein condensate of ∼104 87Rb atoms, the balanced three-mode Dicke state exhibiting an improved number squeezing of 13.02±0.20 dB is observed within 766 ms, highlighting the potential of DRL for quantum dynamics control and quantum state preparation in interacting MB systems.

Citations