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Classical and quantum features of Schur transform for information processing

Presented by: 
Sergii Strelchuk University of Cambridge
Date: 
Friday 27th July 2018 - 09:45 to 10:30
Venue: 
INI Seminar Room 1
Abstract: 
It is well-known that Gaussian random variables have many attractive properties: they are maximum entropy, they are stable under addition and scaling, they give equality in the Entropy Power Inequality (and hence give sharp log-Sobolev inequalities) and have good entropy concavity properties. I will discuss the extent to which results of this kind can be formulated for discrete random variables, and how they relate to ideas of discrete log-concavity.




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University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons