Multiparameter optimisation of a magneto-optical trap using deep learning

Dynamics in cold atomic ensembles involve complex many-body interactions that are hard to treat analytically. Here, the authors use machine learning to optimise the cooling and trapping of neutral atoms, showing an improvement in the resulting resonant optical depth compared to more traditional solu...

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Autores principales:	A. D. Tranter, H. J. Slatyer, M. R. Hush, A. C. Leung, J. L. Everett, K. V. Paul, P. Vernaz-Gris, P. K. Lam, B. C. Buchler, G. T. Campbell
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/8b79c7d156a34486ac9f506b132ab325
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spelling	oai:doaj.org-article:8b79c7d156a34486ac9f506b132ab3252021-12-02T14:39:44ZMultiparameter optimisation of a magneto-optical trap using deep learning10.1038/s41467-018-06847-12041-1723https://doaj.org/article/8b79c7d156a34486ac9f506b132ab3252018-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-06847-1https://doaj.org/toc/2041-1723Dynamics in cold atomic ensembles involve complex many-body interactions that are hard to treat analytically. Here, the authors use machine learning to optimise the cooling and trapping of neutral atoms, showing an improvement in the resulting resonant optical depth compared to more traditional solutions.A. D. TranterH. J. SlatyerM. R. HushA. C. LeungJ. L. EverettK. V. PaulP. Vernaz-GrisP. K. LamB. C. BuchlerG. T. CampbellNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-8 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q A. D. Tranter H. J. Slatyer M. R. Hush A. C. Leung J. L. Everett K. V. Paul P. Vernaz-Gris P. K. Lam B. C. Buchler G. T. Campbell Multiparameter optimisation of a magneto-optical trap using deep learning
description	Dynamics in cold atomic ensembles involve complex many-body interactions that are hard to treat analytically. Here, the authors use machine learning to optimise the cooling and trapping of neutral atoms, showing an improvement in the resulting resonant optical depth compared to more traditional solutions.
format	article
author	A. D. Tranter H. J. Slatyer M. R. Hush A. C. Leung J. L. Everett K. V. Paul P. Vernaz-Gris P. K. Lam B. C. Buchler G. T. Campbell
author_facet	A. D. Tranter H. J. Slatyer M. R. Hush A. C. Leung J. L. Everett K. V. Paul P. Vernaz-Gris P. K. Lam B. C. Buchler G. T. Campbell
author_sort	A. D. Tranter
title	Multiparameter optimisation of a magneto-optical trap using deep learning
title_short	Multiparameter optimisation of a magneto-optical trap using deep learning
title_full	Multiparameter optimisation of a magneto-optical trap using deep learning
title_fullStr	Multiparameter optimisation of a magneto-optical trap using deep learning
title_full_unstemmed	Multiparameter optimisation of a magneto-optical trap using deep learning
title_sort	multiparameter optimisation of a magneto-optical trap using deep learning
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/8b79c7d156a34486ac9f506b132ab325
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Multiparameter optimisation of a magneto-optical trap using deep learning

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