Quantum Fourier Analysis

Presentation Date: 

Tuesday, June 23, 2020



Mathematical Picture Language Seminar

Youtube Video: https://www.youtube.com/watch?v=H0f6OXqz0C4

Abstract: Quantum Fourier analysis (QFA) is a subject that combines an algebraic Fourier transform (pictorial in the case of subfactor theory and topological quantum field theory) with analytic estimates. QFA also leads to new uncertainty principles for entropies, including entanglement entropies, Rényi entropies, and relative entropies. We give an overview of quantum Fourier analysis in this talk. We highlight an application in recent work joint with Sebastien Palcoux and Jinsong Wu: we find new, surprisingly efficient, analytic obstructions of unitary categorification of fusion rings by applying quantum Fourier analysis to the Drinfeld center of unitary fusion categories.