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

Machine learning classification of two-dimensional vortex configurations.

20 Jul 2022, 17:00
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

Description

We consider computer generated configurations of quantized vortices in planar superfluid Bose–Einstein condensates. We show that unsupervised machine learning technology can successfully be used for classifying such vortex configurations to identify prominent vortex phases of matter [1]. The machine learning approach could thus be applied for automatically classifying large data sets of vortex on figurations obtainable by experiments on two-dimensional quantum turbulence.

[1] R. Sharma and T.P. Simula, Machine-learning classification of two-dimensional
vortex configurations, Physical Review A, 105, 033301 (2022).

Presenter name RAMA SHARMA

Primary authors

Mrs RAMA SHARMA (THE SWINBURNE UNIVERSITY OF TECHNOLOGY) Prof. TAPIO SIMULA (The SWINBURNE UNIVERSITY OF TECHNOLOGY)

Presentation materials

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