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Multiparameter optimisation of a magneto-optical trap using deep learning

Tranter, Aaron; Slatyer, Harry; Hush, Michael R; Leung, Anthony; Everett, Jesse; Paul, Karun; Vernaz-Gris, Pierre; Lam, Ping Koy; Buchler, Benjamin; Campbell, Geoff


Machine learning based on artificial neural networks has emerged as an efficient means to develop empirical models of complex systems. Cold atomic ensembles have become commonplace in laboratories around the world, however, many-body interactions give rise to complex dynamics that preclude precise analytic optimisation of the cooling and trapping process. Here, we implement a deep artificial neural network to optimise the magneto-optic cooling and trapping of neutral atomic ensembles. The...[Show more]

CollectionsANU Research Publications
Date published: 2018
Type: Journal article
Source: Nature Communications
DOI: 10.1038/s41467-018-06847-1
Access Rights: Open Access


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