Bayesian Optimization for Wavefront Sensing and Error Correction
Zhong-Hua Qian1,2 , Zi-Han Ding3 , Ming-Zhong Ai1,2 , Yong-Xiang Zheng1,2 , Jin-Ming Cui1,2* , Yun-Feng Huang1,2 , Chuan-Feng Li1,2 , and Guang-Can Guo1,2
1 CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei 230026, China2 CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei 230026, China3 Department of Electrical and Computer Engineering, Princeton University, Princeton, New Jersey 08544, USA
Abstract ：Algorithms for wavefront sensing and error correction from intensity attract great concern in many fields. Here we propose Bayesian optimization to retrieve phase and demonstrate its performance in simulation and experiment. For small aberration, this method demonstrates a convergence process with high accuracy of phase sensing, which is also verified experimentally. For large aberration, Bayesian optimization is shown to be insensitive to the initial phase while maintaining high accuracy. The approach's merits of high accuracy and robustness make it promising in being applied in optical systems with static aberration such as AMO experiments, optical testing shops, and electron or optical microscopes.
收稿日期: 2021-02-21
出版日期: 2021-05-25
引用本文:
. [J]. 中国物理快报, 2021, 38(6): 64202-.
链接本文:
https://cpl.iphy.ac.cn/CN/10.1088/0256-307X/38/6/064202
或
https://cpl.iphy.ac.cn/CN/Y2021/V38/I6/64202
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