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Error reconciliation in quantum key distribution protocols

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10245884" target="_blank" >RIV/61989100:27240/20:10245884 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/20:10245884

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-030-47361-7_11" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-47361-7_11</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-47361-7_11" target="_blank" >10.1007/978-3-030-47361-7_11</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Error reconciliation in quantum key distribution protocols

  • Original language description

    Quantum Key Distribution (QKD) protocols allow the establishment of symmetric cryptographic keys up to a limited distance at limited rates. Due to optical misalignment, noise in quantum detectors, disturbance of the quantum channel or eavesdropping, an error key reconciliation technique is required to eliminate errors. This chapter analyses different key reconciliation techniques with a focus on communication and computing performance. We also briefly describe a new approach to key reconciliation techniques based on artificial neural networks. (C) The Author(s) 2020.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20203 - Telecommunications

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 12070

  • ISBN

    978-3-030-47360-0

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    15

  • Pages from-to

    222-236

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Oslo

  • Event date

    Jul 9, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article