CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12740 > Article
Presentation
17 October 2023 Efficient machine-learning approach to optimize trapped cold atom ensembles for quantum memory applications
Ivan Sekulic, Philipp-Immanuel Schneider, Oliver Anton, Elisa Da Ros, Victoria Henderson, Markus Krutzik
Author Affiliations +
Proceedings Volume 12740, Emerging Imaging and Sensing Technologies for Security and Defence VIII; 127400F (2023) https://doi.org/10.1117/12.2684406
Event: SPIE Security + Defence, 2023, Amsterdam, Netherlands
Abstract
Efficient guidance of physical experiments involving many control parameters presents a challenging optimization problem. In this work, we investigate how machine learning methods can be utilized to dramatically speed up the parameter tuning process pertinent to cold-atom sources with applications in quantum memories and atom interferometry. We compare the capabilities of several machine learning strategies in controlling the experimental process and report on the superior performance of the scalable Bayesian optimization algorithm, specifically tailored for this task.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Ivan Sekulic, Philipp-Immanuel Schneider, Oliver Anton, Elisa Da Ros, Victoria Henderson, and Markus Krutzik "Efficient machine-learning approach to optimize trapped cold atom ensembles for quantum memory applications", Proc. SPIE 12740, Emerging Imaging and Sensing Technologies for Security and Defence VIII, 127400F (17 October 2023); https://doi.org/10.1117/12.2684406
ACCESS THE FULL ARTICLE
PERSONAL SIGN IN
Full access may be available with your subscription
Forgot your username?
Forgot your password?
No SPIE account? Create an account
Institutional Access:
Sign in with your institutional credentials
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 PRESENTATION
WATCH
PRESENTATION SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
KEYWORDS
Chemical species
Quantum memory applications
Clouds
Data modeling
Education and training
Mathematical optimization
Process modeling
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top