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KITP Program: Machine Learning for Quantum Many-Body Physics
(Jan 28 - Mar 22, 2019)
Coordinators: Roger Melko, Amnon Shashua, Miles Stoudenmire, and Matthias Troyer
Scientific Advisors: Juan Carrasquilla, Pankaj Mehta, Lei Wang, and Lenka Zdeborová

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Speakers: Please contact us about file upload for your slides.

Time Speaker Title
1/28, 1:30pm All Participants Organizational meet & greet
1/29, 1:30pm Juan Carrasquilla
Vector Institute & KITP
Learning and representing quantum states with probability[Slides][Podcast][Aud][Cam]
1/30, 10:00am Michael Albergo
Perimeter Institute & KITP
Tutorial: An Overview of Recent Generative Models[Podcast][Aud][Cam]
1/31, 1:30pm Yi (Frank) Zhang
Cornell & KITP
Quantum Loop Topography for Machine Learning Transport[Slides][Podcast][Aud][Cam]
2/01, 3:30pm Discussion Leader
TBD
Machine19 Unplugged: Friday discussion
2/04, 1:30pm All Participants Organizational meet & greet
2/05, 1:30pm Evert van Nieuwenburg
Caltech & KITP
Reinforcement learning for fault-tolerant quantum computation[Slides][Podcast][Aud][Cam]
2/06, 10:00am Dries Sels
Harvard & KITP
Tutorial: Reinforcement Learning for Physicists[Podcast][Aud][Cam]
2/07, 1:30pm Ying-Jer Kao
NTU & KITP
Generation of topologically constrained states through deep reinforcement learning[Slides][Podcast][Aud][Cam]
2/08, 3:30pm Anna Golubeva (Perimeter & KITP), Leader
TBD
Machine19 Unplugged Discussion: Is machine learning really that useful for us?
02/11-15 Conference: At the Crossroad of Physics and Machine Learning
2/19, 1:30pm Federico Becca
University of Trieste & KITP
Variational wave functions for frustrated spin models: from traditional methods to neural networks... and back[Slides][Aud][Cam]
2/20, 10:00am Masoud Mohseni
Google AI & KITP
Approximate optimization and inference with tensor networks
2/21, 1:30pm Estelle Inack
Perimeter & KITP
Tutorial: Variational Monte Carlo and Machine Learning
2/22, 3:30pm All Participants Machine19 Unplugged: Friday discussion
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