Fast machine-learning online optimization of ultra-cold-atom experiments

We apply an online optimization process based on machine learning to the production of Bose-Einstein condensates (BEC). BEC is typically created with an exponential evaporation ramp that is optimal for ergodic dynamics with two-body s-wave interactions and no other loss rates, but likely sub-optimal...

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Detalles Bibliográficos
Autores principales: Wigley, P. B., Everitt, P. J., van den Hengel, A., Bastian, J. W., Sooriyabandara, M. A., McDonald, G. D., Hardman, K. S., Quinlivan, C. D., Manju, P., Kuhn, C. C. N., Petersen, I. R., Luiten, A. N., Hope, J. J., Robins, N. P., Hush, M. R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4867626/
https://www.ncbi.nlm.nih.gov/pubmed/27180805
http://dx.doi.org/10.1038/srep25890

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4867626/
https://www.ncbi.nlm.nih.gov/pubmed/27180805
http://dx.doi.org/10.1038/srep25890

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