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Quantum Machine Learning

Coding Theorem and Strong Converse for Quantum Channels

arXiv
Authors: Andreas Winter

Year

2014

Paper ID

47641

Status

Preprint

Abstract Read

~2 min

Abstract Words

66

Citations

N/A

Abstract

In this correspondence we present a new proof of Holevo's coding theorem for transmitting classical information through quantum channels, and its strong converse. The technique is largely inspired by Wolfowitz's combinatorial approach using types of sequences. As a by-product of our approach which is independent of previous ones, both in the coding theorem and the converse, we can give a new proof of Holevo's information bound.

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  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
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  • In this correspondence we present a new proof of Holevo's coding theorem for transmitting classical information through quantum channels, and its strong converse.

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