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arXiv:0712.2558 · Open Systems & Information Dynamics

A Random Coding Based Proof for the Quantum Coding Theorem

Rochus Klesse

Published Mar 1, 2008• 28 citations
arXivHTMLPDF

Abstract

We present a proof for the quantum channel coding theorem which relies on the fact that a randomly chosen code space typically is highly suitable for quantum error correction. In this sense, the proof is close to Shannon's original treatment of information transmission via a noisy classical channel.
DOI
10.1142/s1230161208000055

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A striking feature of quantum error correcting codes is that they can sometimes be used to correct more errors than they can uniquely identify. Indeed, such degenerate codes are known to outperform all non-degenerate codes for very noisy quantum channels. As a result, rather than being chosen randomly according to some i.i.d. distribution, capacity achieving quantum codes must be chosen in a highly structured fashion. While there is no systematic understanding of how to design such codes, I will describe our best understanding of the problem. I will also briefly discuss a single-letter upper bound on the quantum capacity and its relation to the capacitypsilas possible additivity.
Shannon's channel coding theorem describes the maximum possible rate of reliable information transfer through a classical noisy communication channel. It, together with the source coding theorem, characterizes lossless channel communication in the classical regime. Lossy compression scenarios require the additional description provided by rate-distortion theory, which characterizes the trade-off between compression rate and the distortion of the compressed signal. Even in this context, the capacity characterizes the usefulness of a channel -- a channel with more capacity will always outperform a channel with less capacity. We show that this is no longer true when sending classical information over a quantum channel. In particular, we find a pair of quantum channels where the channel with the lower capacity causes less distortion than the higher capacity channel when both are used at a fixed rate.