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Quantum coding with finite resources

The quantum capacity of a memoryless channel determines the maximal rate at which we can communicate reliably over asymptotically many uses of the channel. Here we illustrate that this asymptotic characterization is insufficient in practical scenarios where decoherence severely limits our ability to...

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Detalles Bibliográficos
Autores principales: Tomamichel, Marco, Berta, Mario, Renes, Joseph M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4865765/
https://www.ncbi.nlm.nih.gov/pubmed/27156995
http://dx.doi.org/10.1038/ncomms11419
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author Tomamichel, Marco
Berta, Mario
Renes, Joseph M.
author_facet Tomamichel, Marco
Berta, Mario
Renes, Joseph M.
author_sort Tomamichel, Marco
collection PubMed
description The quantum capacity of a memoryless channel determines the maximal rate at which we can communicate reliably over asymptotically many uses of the channel. Here we illustrate that this asymptotic characterization is insufficient in practical scenarios where decoherence severely limits our ability to manipulate large quantum systems in the encoder and decoder. In practical settings, we should instead focus on the optimal trade-off between three parameters: the rate of the code, the size of the quantum devices at the encoder and decoder, and the fidelity of the transmission. We find approximate and exact characterizations of this trade-off for various channels of interest, including dephasing, depolarizing and erasure channels. In each case, the trade-off is parameterized by the capacity and a second channel parameter, the quantum channel dispersion. In the process, we develop several bounds that are valid for general quantum channels and can be computed for small instances.
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spelling pubmed-48657652016-05-24 Quantum coding with finite resources Tomamichel, Marco Berta, Mario Renes, Joseph M. Nat Commun Article The quantum capacity of a memoryless channel determines the maximal rate at which we can communicate reliably over asymptotically many uses of the channel. Here we illustrate that this asymptotic characterization is insufficient in practical scenarios where decoherence severely limits our ability to manipulate large quantum systems in the encoder and decoder. In practical settings, we should instead focus on the optimal trade-off between three parameters: the rate of the code, the size of the quantum devices at the encoder and decoder, and the fidelity of the transmission. We find approximate and exact characterizations of this trade-off for various channels of interest, including dephasing, depolarizing and erasure channels. In each case, the trade-off is parameterized by the capacity and a second channel parameter, the quantum channel dispersion. In the process, we develop several bounds that are valid for general quantum channels and can be computed for small instances. Nature Publishing Group 2016-05-09 /pmc/articles/PMC4865765/ /pubmed/27156995 http://dx.doi.org/10.1038/ncomms11419 Text en Copyright © 2016, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Tomamichel, Marco
Berta, Mario
Renes, Joseph M.
Quantum coding with finite resources
title Quantum coding with finite resources
title_full Quantum coding with finite resources
title_fullStr Quantum coding with finite resources
title_full_unstemmed Quantum coding with finite resources
title_short Quantum coding with finite resources
title_sort quantum coding with finite resources
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4865765/
https://www.ncbi.nlm.nih.gov/pubmed/27156995
http://dx.doi.org/10.1038/ncomms11419
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