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

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...

Full description

Saved in:
Bibliographic Details
Published in:Applied physics letters 2021-06, Vol.118 (23)
Main Authors: Chen, Yun, Wang, Chengyuan, Yu, Ya, Jiang, Zibin, Wang, Jinwen, Zhao, Shupeng, Wei, Dong, Gao, Hong, Li, Fuli
Format: Article
Language:English
Subjects:
Applied physics
Diffusion effects
Genetic algorithms
Optimization
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0003-6951
1077-3118
DOI:10.1063/5.0053849