Papers & References

Creation of a tweezer array for cold atoms utilizing a generative neural network

PLUTO / PLUTO-2 Spatial Light Modulators
Deep Learning / Neuronal Network Optical Trapping /-Tweezers
Published on:
Authors: Zejian Ren, Xu Yan, Kai Wen, Huijin Chen, Elnur Hajiyev, Chengdong He, Gyu-Boong Jo
Abstract:

Optical tweezers have become essential tools for dynamically manipulating objects, ranging from microspheres or biological molecules to neutral atoms. In this study, we demonstrate the creation of tweezer arrays using a generative neural network, which allows for the trapping of neutral atoms with tunable atom arrays. We have successfully loaded cold strontium atoms into various optical tweezer patterns generated by a spatial light modulator (SLM) integrated with generative models. Our approach shortens the process time to control the SLM wtih minimal time delay, eliminating the need for repeated re-optimization of the hologram for the SLM.

Open Access

Publication: arXiv
Issue/Year: arXiv:2401.06014 (2024)
DOI: 10.48550/arXiv.2401.06014
Link: https://doi.org/10.48550/arXiv.2401.06014
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