QCSA Speaker Event: Robert Huang @ Caltech
Please fill out the luma to RSVP: https://luma.com/ogf320y8
Who: Professor Robert Huang (In-Person)
When: May 13th, 4:15–5:15 pm
Where: Lauritsen 269, Caltech
Talk: Quantum Advantage in Learning
Abstract: In this talk, I will describe what we have learned about whether, when, and how quantum machines can learn faster and predict better than classical machines across a wide range of problems, including predicting properties of physical systems, sensing external classical fields, processing massive classical data, and training large-scale machine learning models.
Bio: Robert Huang is an assistant professor of physics at Caltech working in quantum information science and quantum many-body physics. His research focuses on the intersection of quantum computing, learning theory, and the simulation of complex quantum systems, including questions about when quantum methods can outperform classical approaches in predicting physical phenomena and extracting information from data.
Everyone is welcome: minimal technical background is required. Come learn and ask questions. And yes, snacks will be provided.