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Department of Mathematics,
University of California San Diego

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Math 278B: Mathematics of Information, Data, and Signals

Ethan Epperly

CalTech

Super-Resolution and Quantum Eigensolvers

Abstract:

Super-resolution algorithms to learn fine-scale features of a signal beyond the resolution at which the signal was measured. This talk will provide an overview of the mathematical theory of super-resolution, including new results by the presenter and collaborators, and show how these mathematical techniques can also be used to design quantum algorithms for problems in scientific computing. This talk is designed for a broad mathematical audience and assumes no prior knowledge in super-resolution or quantum computation.

February 28, 2025

11:00 AM

APM 2402

Research Areas

Mathematics of Information, Data, and Signals

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