Machine Learning and Quantum Many-Body Physics
Workshop
When
-
All Day
-
All Day
Where
162 Fifth Avenue, 9th Floor Classroom
160 Fifth Avenue
New York, NY 10010
Agenda
Thursday, April 26
| 8:00 – 9:00 AM
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Breakfast
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| 9:00 – 9:10 AM | Giuseppe Carleo, Miles Stoudenmire | Welcome and Introduction |
| Morning Session | ||
| 9:15 – 9:40 AM | Roger Melko (University of Waterloo) | Research at Perimeter’s Quantum Intelligence Lab |
| 9:40 – 10:05 AM | Lei Wang (Chinese Academy of Science) | Neural Network Renormalization Group |
| 10:05 – 10:30 AM | Ivan Glasser (Max Planck Institute of Quantum Optics) | Duality between neural networks and tensor networks with applications to chiral topological states and supervised learning |
| 10:30 – 11:00 AM | Break | |
| 11:00 – 11:30 AM | Discussion | |
| 11:30 – 11:55 AM | Dries Sels (Boston University) | Reinforcement learning quantum optimal control |
| 11:55 – 12:20 PM | Dong Ling Deng (University of Maryland) | Measuring Quantum Entanglement Entropy through Restricted Boltzmann Machine |
| 12:20- 12:45 PM | Titus Neupert (University of Zurich) | Neural networks for quantum many-body calculations: Including Symmetries and reaching excited states |
| 12:45 – 2:45 PM | Lunch and Discussion | |
| Afternoon Session | ||
| 2:45 – 3:10 PM | Masatoshi Imada (University of Tokyo) | Boltzmann machine for quantum ground states and hidden-structure analyses of experimental data |
| 3:10 – 3:35 PM | Giacomo Torlai (University of Waterloo) | Neural-network quantum state tomography |
| 3:35 – 4:00 PM | Markus Heyl (Max Planck Inst. for the Physics of Complex Systems) | Quantum dynamics with classical networks and machine learning |
| 4:00- 4:45 PM | Break and Discussion | |
| 4:45 – 5:30 PM | Hot Topics- Jan Budich Lode Pollet, Steven Clark, Andrea Rocchetto | |
| 5:30 – 6:30 PM | Posters |
Friday, April 27
| 8:00 – 9:00 AM
|
Breakfast
|
|
| Morning Session | ||
| 9:00 – 9:25 AM | Simon Trebst (University of Cologne) | Quantum phase recognition |
| 9:25 – 9:50 AM | Eun-Ah Kim (Cornell University) | Learning Quantum Emergence with AI |
| 9:50 – 10:15 AM | Kyle Cranmer (New York University) | Quantum Inference |
| 10:15 – 11:15 AM | Break and Discussion | |
| 11:15 – 11:40 PM | Yoav Levine (The Hebrew University of Jerusalem) | Bridging Many-Body Physics and Deep Learning via Tensor Networks |
| 11:40 – 12:05 PM | Evert van Nieuwenberg (California Institute of Technology) | Learning a phase diagram from dynamics |
| 12:05 – 12:30 PM | Juan Carrasquilla (Vector Institute) | Toward learning quantum states with generative models |
| 12:30 – 3:00 PM | Lunch, Discussion and Departure |
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