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SUMMARY:Classical and quantum features of Schur transform for information 
 processing - Sergii Strelchuk (University of Cambridge)
DTSTART:20180727T084500Z
DTEND:20180727T093000Z
UID:TALK108421@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:It is well-known that Gaussian random variables have many attr
 active properties: they are maximum entropy\, they are stable under additi
 on and scaling\, they give equality in the Entropy Power Inequality (and h
 ence 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 o
 f discrete log-concavity.  <br><br><br><br><br>
LOCATION:Seminar Room 1\, Newton Institute
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