Chinese Journal of Lasers, Volume. 48, Issue 24, 2412001(2021)

Multiparameter Autonomous Optimization System for Ultracold Atomic Experiments Based on Artificial Neural Network

Qian Liu1,2, Yu Xie1,2, Lin Li1,2, Ang’ang Liang1,2, Wenwen Li1,2, Henan Chen1,2, Su Fang1, Qiuzhi Qu1, Liang Liu1、***, Bin Wang1、**, and Desheng Lü1、*
Author Affiliations
  • 1Key Laboratory of Quantum Optics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
  • 2College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
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    Figures & Tables(5)
    Schematic diagram of parameter prediction by neural network
    Different performance indexes varying with number of neuorns. (a) MAE; (b) MSE; (c) prediction accuracy
    Flow chart of parameter autonomous optimization experiment
    Experimental results of parameter adjustment based on parameter autonomous optimization system. (a) Cooling laser power; (b) cooling laser detuning; (c) axial velocity of cold atomic beam; (d) magnetic gradient
    Experimental results based on parameter autonomous optimization system. (a) Atom number varying with number of experiments; (b) prediction accuracy varying with number of iterations
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    Qian Liu, Yu Xie, Lin Li, Ang’ang Liang, Wenwen Li, Henan Chen, Su Fang, Qiuzhi Qu, Liang Liu, Bin Wang, Desheng Lü. Multiparameter Autonomous Optimization System for Ultracold Atomic Experiments Based on Artificial Neural Network[J]. Chinese Journal of Lasers, 2021, 48(24): 2412001

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    Paper Information

    Category: quantum optics

    Received: Apr. 23, 2021

    Accepted: May. 17, 2021

    Published Online: Nov. 25, 2021

    The Author Email: Liu Liang (liang.liu@siom.ac.cn), Wang Bin (wangbin@siom.ac.cn), Lü Desheng (dslv@siom.ac.cn)

    DOI:10.3788/CJL202148.2412001

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