Statistical fluctuation analysis for decoy-state quantum secure direct communication

Jooyoun Park, Bumil Kim, Jun Heo

    Research output: Contribution to journalArticlepeer-review

    7 Citations (Scopus)

    Abstract

    In quantum secure direct communication (QSDC), messages are transmitted directly through quantum channels. The decoy state scheme has been widely studied to detect eavesdroppers and improve the secrecy capacity. However, the secret key rate becomes relatively low in this scheme because of the finite-size effect. In this study, the statistical fluctuation analyses of a four-intensity decoy-state QSDC system were performed, and a numerical simulation was conducted in an actual experimental environment. The simulation results were compared, and the parameters optimized using the Gaussian analysis and the Chernoff bound were presented.

    Original languageEnglish
    Article number112
    JournalQuantum Information Processing
    Volume22
    Issue number2
    DOIs
    Publication statusPublished - 2023 Feb

    Bibliographical note

    Funding Information:
    This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (No.2022-0-00463, Development of a quantum repeater in optical fiber networks for quantum internet). This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2023-2021-0-01810) supervised by the IITP(Institute for Information & Communications Technology Planning & Evaluation).

    Publisher Copyright:
    © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

    Keywords

    • Decoy state
    • Finite-size effect
    • Quantum secure direct communication

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Statistical and Nonlinear Physics
    • Theoretical Computer Science
    • Signal Processing
    • Modelling and Simulation
    • Electrical and Electronic Engineering

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