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Identification via Quantum Channels

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Information Theory, Combinatorics, and Search Theory

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7777))

Abstract

We review the development of the quantum version of Ahlswede and Dueck’s theory of identification via channels. As is often the case in quantum probability, there is not just one but several quantizations: we know at least two different concepts of identification of classical information via quantum channels, and three different identification capacities for quantum information.

In the present summary overview we concentrate on conceptual points and open problems, referring the reader to the small set of original articles for details.

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Author information

Authors and Affiliations

  1. ICREA – Institució Catalana de Recerca i Estudis Avançats, Pg. Lluis Companys 23, ES-08010, Barcelona, Spain

    Andreas Winter

  2. Física Teòrica: Informació i Fenomens Quàntics, Universitat Autònoma de Barcelona, ES-08193, Bellaterra (Barcelona), Spain

    Andreas Winter

  3. Department of Mathematics, University of Bristol, Bristol, BS8 1TW, U.K.

    Andreas Winter

  4. Centre for Quantum Technologies, National University of Singapore, 2 Science Drive 3, Singapore, 117542, Singapore

    Andreas Winter

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  1. Andreas Winter
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Editor information

Editors and Affiliations

  1. Department of Mathematics, University of Bielefeld, Universitätsstr. 25, 33615, Bielefeld, Germany

    Harout Aydinian  & Christian Deppe  & 

  2. Department of Computer Science, University of Salerno, via Ponte don Melillo, 84084, Fisciano, Italy

    Ferdinando Cicalese

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Winter, A. (2013). Identification via Quantum Channels. In: Aydinian, H., Cicalese, F., Deppe, C. (eds) Information Theory, Combinatorics, and Search Theory. Lecture Notes in Computer Science, vol 7777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36899-8_9

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  • DOI: https://doi.org/10.1007/978-3-642-36899-8_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36898-1

  • Online ISBN: 978-3-642-36899-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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