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Trapped Ion Quantum Computing Quantum Machine Learning

Bose-Einstein condensation by polarization gradient laser cooling

arXiv
Authors: Wenchao Xu, Tamara Šumarac, Emily H. Qiu, Matthew L. Peters, Sergio H. Cantú, Zeyang Li, Adrian J. Menssen, Mikhail D. Lukin, Simone Colombo, Vladan Vuletić

Year

2023

Paper ID

52557

Status

Preprint

Abstract Read

~2 min

Abstract Words

127

Citations

N/A

Abstract

Attempts to create quantum degenerate gases without evaporative cooling have been pursued since the early days of laser cooling, with the consensus that polarization gradient cooling (PGC, also known as "optical molasses") alone cannot reach condensation. In the present work, we report that simple PGC can generate a small Bose-Einstein condensate (BEC) inside a corrugated micrometer-sized optical dipole trap. The experimental parameters enabling BEC creation were found by machine learning, which increased the atom number by a factor of 5 and decreased the temperature by a factor of 2.5, corresponding to almost two orders of magnitude gain in phase space density. When the trapping light is slightly misaligned through a microscopic objective lens, a BEC of sim 250 87Rb atoms is formed inside a local dimple within 40 ms of PGC.

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  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
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  • Attempts to create quantum degenerate gases without evaporative cooling have been pursued since the early days of laser cooling, with the consensus that polarization gradient...

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