Wednesday, January 9, 2019

Wednesday, January 9, 2019 — 1:30 PM EST

Seminar - Cunlu Zhou, University of Notre Dame

Quantum (von Neumann) entropy optimization problems constitute an important class of quantum relative entropy optimization and have applications in various areas including quantum state tomography, statistical physics and machine learning. The optimization involves a nonlinear convex objective function $Tr(XlnX)$ and equality constraints on positive definite matrix $X$. In this talk I will present a long-step interior-point algorithm for the quantum entropy optimization (joint work with my co-advisor).

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