Bayesian optimization of Bose-Einstein condensation via evaporative cooling model

Autor:	Ma, Jihao, Fang, Ruihuan, Han, Chengyin, Jiang, Xunda, Qiu, Yuxiang, Ma, Zhu, Wu, Jiatao, Zhan, Chang, Li, Maojie, Lu, Bo, Lee, Chaohong
Rok vydání:	2023
Předmět:	Physics - Atomic Physics Condensed Matter - Quantum Gases
Druh dokumentu:	Working Paper
Popis:	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. Comment: 8 pages, 5 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2303.05358 Zobrazit plný text záznamu View this record from Arxiv