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arXiv · 2303.05358

Bayesian optimization of Bose-Einstein condensation via evaporative cooling model

Jihao Ma·Ruihuan Fang·Chengyin Han·Xunda Jiang·Yuxiang Qiu·Zhu Ma·Jiatao Wu·Chang Zhan·Maojie Li·Bo Lu·Chaohong Lee
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Abstract

To achieve Bose-Einstein condensation, one may implement evaporative cooling by dynamically regulating the power of laser beams forming the optical dipole trap. We propose and experimentally demonstrate a protocol of Bayesian optimization of Bose-Einstein condensation via the evaporative cooling model. Applying this protocol, pure Bose-Einstein condensate of 87Rb with 2.4X10e4 atoms can be produced via evaporative cooling from the initial stage when the number of atoms is 6.0X10e5 at a temperature of 12{\mu}K. In comparison with Bayesian optimization via blackbox experiment, our protocol only needs a few experiments required to verify some close-to-optimal curves for optical dipole trap laser powers, therefore it greatly saves experimental resources.

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Jihao Ma, Ruihuan Fang, Chengyin Han, Xunda Jiang, Yuxiang Qiu, Zhu Ma, Jiatao Wu, Chang Zhan, Maojie Li, Bo Lu, Chaohong Lee. 2023-03-09. Bayesian optimization of Bose-Einstein condensation via evaporative cooling model. https://arxiv.org/abs/2303.05358

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