2021
DOI: 10.1063/5.0053849
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Genetic algorithm optimization for storing arbitrary multimode transverse images in thermal atomic vapor

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 manifes… Show more

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Cited by 5 publications
(7 citation statements)
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“…The cell contains 8 Torr neon buffer gas and is heated to 60 • C, rendering a diffusion coefficient of D ≈ 25 cm 2 /s [29]. The adopted experimental setup (see Appendix A for details) is similar to that in our previous work [8]. Here the wavevector of the control beam is modulated while the probe's wavevector remains unchanged and they intersect at the center of the atomic cell.…”
Section: Experiments Results and Discussionmentioning
confidence: 99%
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“…The cell contains 8 Torr neon buffer gas and is heated to 60 • C, rendering a diffusion coefficient of D ≈ 25 cm 2 /s [29]. The adopted experimental setup (see Appendix A for details) is similar to that in our previous work [8]. Here the wavevector of the control beam is modulated while the probe's wavevector remains unchanged and they intersect at the center of the atomic cell.…”
Section: Experiments Results and Discussionmentioning
confidence: 99%
“…[6,8], in which the authors increase the stored image's visibility by imposing π-phase shift between neighboring features of the image. However, rotating the wavevector offers greater convenience since there is no need to elaborately design and load the phase pattern to the image [6,8]. It is also worth noting that Eq.…”
Section: (B4)mentioning
confidence: 99%
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