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Classical codes for quantum broadcast channels

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Other literature type 01 Jul 2012Embargo end date: 01 Jan 2011Publisher:IEEEJournal:2012 IEEE International Symposium on Information Theory ProceedingsFunded by:NSERC | unidentified

Authors: Ivan Savov; Mark M. Wilde;

doi: 10.1109/isit.2012.6284654 , 10.1109/tit.2015.2485998 , 10.48550/arxiv.1111.3645

arXiv: http://arxiv.org/abs/1111.3645

Classical codes for quantum broadcast channels

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Abstract

We present two approaches for transmitting classical information over quantum broadcast channels. The first technique is a quantum generalization of the superposition coding scheme for the classical broadcast channel. We use a quantum simultaneous nonunique decoder and obtain a proof of the rate region stated in [Yard et al., IEEE Trans. Inf. Theory 57 (10), 2011]. Our second result is a quantum generalization of the Marton coding scheme. The error analysis for the quantum Marton region makes use of ideas in our earlier work and an idea recently presented by Radhakrishnan et al. in arXiv:1410.3248. Both results exploit recent advances in quantum simultaneous decoding developed in the context of quantum interference channels.

v4: 20 pages, final version to appear in IEEE Transactions on Information Theory

Related Organizations

McGill University
Canada
Louisiana State University
United States

Keywords

FOS: Computer and information sciences, Quantum Physics, Computer Science - Information Theory, Information Theory (cs.IT), FOS: Physical sciences, Quantum Physics (quant-ph)

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	30
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%