Jul 17 – 22, 2022
Royal Conservatory of Music, Toronto
America/Toronto timezone

Dynamics following an interaction quench in the BEC-BCS crossover and machine-learning the phase diagram

Jul 18, 2022, 5:00 PM
1h 30m
Hart House (Hart House)

Hart House

Hart House

7 Hart House Cir, Toronto, ON M5S 3H3
Poster presentation Degenerate gases, many-body physics, and quantum simulation Poster session


With a specially designed coil [Rev. Sci. Instrum. 92, 093202 (2021)], we quench the interaction strength of an ultracold cloud of $^6$Li atoms instantaneously, i.e. faster than the Fermi time. In the short time dynamics following the quench we observe first indications of an oscillation in the condensate fraction reminiscent of the Higgs-mode.

The observation was facilitated by a deep neural network trained to determine the amount of superfluidity in the cloud from simple time-of-flight images. This quantity is hidden for conventional fitting techniques, especially under real experimental conditions.
We record a high-resolution phase diagram of the BEC-BCS crossover with the neural network and show that such networks are also able to detect the existance of a phase transition without any additional training input.

Presenter name Moritz Breyer
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Primary authors

Moritz Breyer (Physikalisches Institut, University of Bonn) Andreas Kell (Physikalisches Institut, University of Bonn) Daniel Eberz (Physikalisches Institut, University of Bonn) Martin Link (Physikalisches Institut, University of Bonn) Michael Köhl (Physikalisches Institut, University of Bonn)

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