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Upcoming Talk: Machine Learning Meets Quantum Many-Body Physics
10/04/23 | Jadwin Hall | Room A10
We are delighted to announce that the second talk in the series will be given by Juan Felipe Carrasquilla Alvarez (Vector).
Abstract: In this talk, I will discuss our work on using models inspired by natural language processing in the realm of many-body physics. Specifically, I will demonstrate their utility in reconstructing quantum states and simulating the real-time dynamics of open quantum systems. Finally, I will show the efficacy of using these models for combinatorial optimization, yielding solutions of high accuracy compared to traditional simulated and simulated quantum annealing methods.
Fall 2023 Calendar
In recent years, the fields of natural language processing and computer vision have been revolutionized by the success of large models pretrained with task-agnostic objectives on massive, diverse datasets. This has, in part, been driven by the use of self-supervised pretraining methods which allow models to utilize far more training data than…
In this talk, I will discuss our work on using models inspired by natural language processing in the realm of many-body physics. Specifically, I will demonstrate their utility in reconstructing quantum states and simulating the real-time dynamics of open quantum systems. Finally, I will show the efficacy of using these models for combinatorial…
Wednesday, 11/29/23 @ 4:30pm in the Joseph Henry Room. Abstract, talk title, and Zoom details forthcoming.
Fall 2023 Speakers
Vector Institute for Artificial Intelligence
Sponsors
Boris Hanin
Assistant Professor, Princeton ORFE
Research Homepage
Dan Marlow
Evans Crawford 1911 Professor of Physics
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Mariangela Lisanti
Associate Professor, Princeton Physics
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Peter Elmer
Senior Research Physicist, Princeton Physics
Research Homepage