| FUNDAMENTAL AREAS OF PHENOMENOLOGY(INCLUDING APPLICATIONS) |
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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 |
1CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei 230026, China
2CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei 230026, China
3Department of Electrical and Computer Engineering, Princeton University, Princeton, New Jersey 08544, USA
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Zhong-Hua Qian, Zi-Han Ding, Ming-Zhong Ai et al 2021 Chin. Phys. Lett. 38 064202 |
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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.
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Received: 21 February 2021
Published: 25 May 2021
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| Fund: Supported by the National Key Research and Development Program of China (Grant Nos. 2017YFA0304100 and 2016YFA0302700), the National Natural Science Foundation of China (Grant Nos. 11874343, 61327901, 11774335, 11474270, 11734015, and 11821404). |
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