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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

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2018
2018
We prove a number of quantitative stability bounds for the cases of equality in Petz’s monotonicity theorem for quasi-relative… Expand
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Highly Cited
2015
Highly Cited
2015
We study the tradeoff between the statistical error and communication cost of distributed statistical estimation problems in high… Expand
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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
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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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2013
2013
An intuitive outer bound for the multiterminal source coding problem is given. The proposed bound explicitly couples the rate… 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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2012
2012
The data processing inequality (DPI) is a fundamental feature of information theory. Informally it states that you cannot… Expand
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2012
2012
Quantum data processing inequality bounds the set of bipartite states that can be generated by two far apart parties under local… Expand
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2011
2011
In the distributed coding of correlated sources, the problem of characterizing the joint probability distribution of a pair of… Expand
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2010
2010
  • Naresh 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
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