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    On the Discretized Gaussian Modulation (DGM)- Based Continuous Variable-QKD

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    Author
    Djordjevic, Ivan B.
    Affiliation
    Univ Arizona, Dept Elect & Comp Engn
    Issue Date
    2019-05-17
    Keywords
    Quantum communication
    quantum key distribution (QKD)
    continuous variable (CV)-QKD
    Gaussian modulation
    discrete modulation
    information reconciliation
    secret-key rate (SKR)
    
    Metadata
    Show full item record
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Citation
    Djordjevic, I. B. (2019). On the Discretized Gaussian Modulation (DGM)-Based Continuous Variable-QKD. IEEE Access, 7, 65342-65346.
    Journal
    IEEE ACCESS
    Rights
    Copyright © 2019, IEEE.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    To overcome the low reconciliation efficiency problem of Gaussian modulation (GM)-basedcontinuous variable (CV)-quantum key distribution (QKD), in this paper, we propose to use discretized GM (DGM)-based-CV-QKD. The proposed CV-QKD scheme has complexity and reconciliation efficiency similar to that of discrete modulation (DM)-based-CV-QKD and at the same time solves for the problem of the nonexistence of strict security proofs for the DM-CV-QKD under the collective attacks. We demonstrate that the 32-points-based DGM CV-QKD can closely approach the theoretical SKR-limit in medium and high channel losses regimes. On the other hand, the 64-points-based DGM CV-QKD scheme closely approaches the SKR-limit for all channel losses.
    Note
    Open access journal
    ISSN
    2169-3536
    DOI
    10.1109/access.2019.2917587
    Version
    Final published version
    Sponsors
    ONR MURI program [N00014-13-1-0627]
    ae974a485f413a2113503eed53cd6c53
    10.1109/access.2019.2917587
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    UA Faculty Publications

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