Machine Learning for Quantum Many-Body Systems

Name: Machine Learning for Quantum Many-Body Systems
Start: 2023-06-12T08:15:00-04:00
End: 2023-06-16T17:00:00-04:00
Location: Perimeter Institute for Theoretical Physics

12–16 Jun 2023

Perimeter Institute for Theoretical Physics

America/Toronto timezone

Overview
Speakers
Timetable
Zoom Links for Virtual Participants
Guidelines for poster presentations
Contribution List
Registration
Participant List
Respectful Environment Code of Conduct
Computer Requirements for Virtual Participation
Accessibility at Perimeter Institute
Hotels
Ground Transportation to Perimeter

Tania Framst

[email protected]

Machine Learning of Conserved Quantities and Symmetry Invariants

15 Jun 2023, 16:00

45m

PI/1-100 - Theatre (Perimeter Institute for Theoretical Physics)

PI/1-100 - Theatre

Perimeter Institute for Theoretical Physics

190

Sebastian Wetzel (University of Waterloo)

There are no materials yet.

23060101
7b8828a4-abfc-4c9e-b760-c80d046658c7
20377dac-da03-49ba-9ae9-d6e4519d4719

Machine Learning for Quantum Many-Body Systems

Tania Framst

Machine Learning of Conserved Quantities and Symmetry Invariants

PI/1-100 - Theatre

Perimeter Institute for Theoretical Physics

Speaker

Presentation materials

External references