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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Time Speaker Title
3/22, 3:30pm All Participants TBA
3/21, 1:30pm Miles Stoudenmire
Flatiron & KITP, Leader
Discussion: Introduction to kernel methods for machine learning[Podcast][Aud][Cam]
3/20, 10:00am Miles Stoudenmire
(Flatiron & KITP)
Lenka Zdeborova
(Saclay & KITP)
Wrap up discussion & future directions
3/19, 1:30pm Roger Melko
Waterloo/Perimeter & KITP
Neural-network hybridized quantum hardware
3/18, 1:30pm All Participants Organizational Meeting
3/15, 3:30pm All Participants Machine19 Unplugged: Friday discussion
3/14, 1:30pm Simon Trebst
University of Cologne & KITP
Decoding the many-fermion problem with neural networks[Slides][Podcast][Aud][Cam]
3/13, 10:00am Andrea Rocchetto
Oxford/UCL & KITP
Tutorial: Overview of classical and quantum learning theory[Podcast][Aud][Cam]
3/12, 1:30pm Phiala Shanahan
Learning matched action parameters for multi-scale algorithms in lattice QCD[Slides][Podcast][Aud][Cam]
3/11, 1:30pm All Participants Organizational meet & greet
3/08, 3:30pm All Participants Machine19 Unplugged: Friday discussion
3/07, 1:30pm John Terilla
Probabilistic modeling with tensor networks[Slides][Podcast][Aud][Cam]
3/06, 10:00am Jing Chen
Flatiron & KITP
Tutorial: Tensor networks and RBMs[Podcast][Aud][Cam]
3/05, 1:30pm Felix Leditzky
JILA, CU Boulder & KITP
Quantum Codes from Neural Networks[Slides][Podcast][Aud][Cam]
3/04, 1:30pm All Participants Organizational meet & greet
3/01, 3:30pm All Participants TBA
2/28, 1:30pm Aleksander Kubica
Quantum error correction and machine learning[Slides][Podcast][Aud][Cam]
2/27, 10:00am Maria Schuld
University of KwaZulu-Natal
Quantum machine learning: Turning quantum computers into machine learning models
2/26, 1:30pm Marin Bukov
Reinforcement Learning to Control Quantum Systems away from Equilibrium[Slides][Podcast][Aud][Cam]
2/25, 1:30pm All Participants Organizational meet & greet
02/25 12:15pm Giuseppe Carleo
Flatiron Institute & KITP
Dreaming, computing, inspiring: Flavors of machine learning in many-body quantum physics[Podcast][Aud][Cam]
KITP Blackboard Lunch
2/22, 3:30pm All Participants Machine19 Unplugged: Friday discussion
2/21, 1:30pm Estelle Inack
Perimeter & KITP
Tutorial: Variational Monte Carlo and Machine Learning[Podcast][Aud][Cam]
2/20, 10:00am Masoud Mohseni
Google AI & KITP
Approximate optimization and inference with tensor networks
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][Podcast][Aud][Cam]
02/11-15 Conference: At the Crossroad of Physics and Machine Learning
2/08, 3:30pm Anna Golubeva (Perimeter & KITP), Leader
Machine19 Unplugged Discussion: Is machine learning really that useful for us?
2/07, 1:30pm Ying-Jer Kao
Generation of topologically constrained states through deep reinforcement learning[Slides][Podcast][Aud][Cam]
2/06, 10:00am Dries Sels
Harvard & KITP
Tutorial: Reinforcement Learning for Physicists[Podcast][Aud][Cam]
2/05, 1:30pm Evert van Nieuwenburg
Caltech & KITP
Reinforcement learning for fault-tolerant quantum computation[Slides][Podcast][Aud][Cam]
2/04, 1:30pm All Participants Organizational meet & greet
2/01, 3:30pm Discussion Leader
Machine19 Unplugged: Friday discussion
1/31, 1:30pm Yi (Frank) Zhang
Cornell & KITP
Quantum Loop Topography for Machine Learning Transport[Slides][Podcast][Aud][Cam]
1/30, 10:00am Michael Albergo
Perimeter Institute & KITP
Tutorial: An Overview of Recent Generative Models[Podcast][Aud][Cam]
1/29, 1:30pm Juan Carrasquilla
Vector Institute & KITP
Learning and representing quantum states with probability[Slides][Podcast][Aud][Cam]
1/28, 1:30pm All Participants Organizational meet & greet
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