Genetic algorithm optimization for storing arbitrary multimode transverse images in thermal atomic vapor

Chen, Y., Wang, C., Yu, Y., Jiang, Z., Wang, J. , Zhao, S., Wei, D., Gao, H. and Li, F. (2021) Genetic algorithm optimization for storing arbitrary multimode transverse images in thermal atomic vapor. Applied Physics Letters, 118(23), 234001. (doi: 10.1063/5.0053849)

Abstract

Storing multimode transverse images in atomic media is crucial in constructing large-scale quantum networks. A major obstacle of storing transverse images in the thermal atomic vapor is the distortion of the retrieved images caused by atomic diffusion. Here, we demonstrate the combination of genetic algorithm with the phase-shift lithography method to construct the optimal phase for an arbitrary transverse image that can diminish the effect of diffusion. Theoretical simulations and experimental results manifest that the retrieved images' resolution can be substantially improved when carrying the optimal phases. Our scheme is efficient and straightforward and can be extensively applied in storing complex transverse multimodes in diffusion media.

• Item Type: Articles
• Additional Information: This work was supported by the National Natural Science Foundation of China (NSFC) (Nos. 11774286, 92050103, 11534008, 12033007, and 61875205).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Wang, Jinwen
• Authors: Chen, Y., Wang, C., Yu, Y., Jiang, Z., Wang, J., Zhao, S., Wei, D., Gao, H., and Li, F.
• College/School: College of Science and Engineering > School of Physics and Astronomy
• Journal Name: Applied Physics Letters
• Publisher: AIP Publishing
• ISSN: 0003-6951
• ISSN (Online): 1077-3118
• Copyright Holders: Copyright © 2021 AIP Publishing
• First Published: First published in Applied Physics Letters 118(23): 234001
• Publisher Policy: Reproduced in accordance with the publisher copyright policy