Chinese Journal of Lasers, Volume. 48, Issue 24, 2412001(2021)
Multiparameter Autonomous Optimization System for Ultracold Atomic Experiments Based on Artificial Neural Network
Fig. 2. Different performance indexes varying with number of neuorns. (a) MAE; (b) MSE; (c) prediction accuracy
Fig. 4. 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
Fig. 5. 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
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)