Bulletin of the American Physical Society
APS March Meeting 2023
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session T00: Poster Session III (1pm-4pm PST)
1:00 PM,
Thursday, March 9, 2023
Room: Exhibit Hall (Forum Ballroom)
Sponsoring
Unit:
APS
Abstract: T00.00345 : Employing Supervised and Unsupervised Machine Learning Techniques to Detect the Superfluid Phase Transition of a Strongly Interacting Fermi Gas*
Presenter:
Daniel Eberz
(Physikalisches Institut, University of Bonn)
Authors:
Daniel Eberz
(Physikalisches Institut, University of Bonn)
Moritz Breyer
(Physikalisches Institut, University of Bonn)
Andreas Kell
(Physikalisches Institut, University of Bonn)
Michael Köhl
(Physikalisches Institut, University of Bonn)
Martin Link
(Physikalisches Institut, University of Bonn)
*This work has been supported by the Alexander-von-Humboldt Stiftung, DFG (SFB/TR 185 project C6N),Cluster of Excellence Matter and Light for Quantum Computing (ML4Q) EXC 2004/1 - 390534769.
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