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Data processing inequality

The Data processing inequality is an information theoretic concept which states that the information content of a signal cannot be increased via a… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
We prove a number of quantitative stability bounds for the cases of equality in Petz’s monotonicity theorem for quasi-relative… Expand
2017
2017
Abstract The so-called q -z-Renyi Relative Entropies provide a huge two parameter family of relative entropies which include… Expand
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Highly Cited
2016
Highly Cited
2016
We study the tradeoff between the statistical error and communication cost of distributed statistical estimation problems in high… Expand
Highly Cited
2013
Highly Cited
2013
Sandwiched (quantum) α-Renyi divergence has been recently defined in the independent works of Wilde et al. [“Strong converse for… Expand
2013
2013
The secrecy capacity of a network, for a given collection of permissible wiretap sets, is the maximum rate of communication such… Expand
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Highly Cited
2013
Highly Cited
2013
In this paper we provide a new geometric characterization of the Hirschfeld-Gebelein-R\'{e}nyi maximal correlation of a pair of… Expand
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2012
2012
The strength of quantum correlations is bounded from above by Tsirelson's bound. We establish a connection between this bound and… Expand
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2010
2010
  • N. Sharma
  • IEEE International Symposium on Information…
  • 2010
  • Corpus ID: 11491089
We consider the quantum f-relative entropy where f is an operator convex function. We define a family of operator convex… Expand
Highly Cited
2009
Highly Cited
2009
Source and channel coding over multiuser channels in which receivers have access to correlated source side information are… Expand
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Highly Cited
2007
Highly Cited
2007
It is well-known that the information bottleneck method and rate distortion theory are related. Here it is described how the… Expand