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A Novel QKD Protocol Utilizing Temporal Correlations in Photon Pairs

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We introduce a novel QKD protocol which utilizes the intrinsic temporal correlations found in photon pairs from a two-mode squeezed vacuum (TMSV) state. Upon generation, the idler photons are measured right away by Alice, and their time stamps recorded. This idler detection heralds the corresponding signal photons traveling in the channel towards Bob, which ensures the temporal configuration of the photons is identical between the two sets of photons when Bob measures them as a later time. By converting the time intervals between these photons into an uniformly-distributed integer stream, we generate two matching streams of integers which can be used to generate a secure key. The security of this key-generation scheme is discussed and investigated, as well as the utilization of this system in a real-world environment. The introduction of dropped photons and dark counts requires the use of non-standard error correcting codes. We discuss the use of Marker codes in the system and how correction and privacy amplification can occur without allowing knowledge of the full key to transmit to an eavesdropper.

    Original languageEnglish (US)
    Title of host publicationQuantum Information Science, Sensing, and Computation XV
    EditorsEric Donkor, Michael Hayduk, Carlos M. Torres
    PublisherSPIE
    ISBN (Electronic)9781510661486
    DOIs
    StatePublished - 2023
    EventQuantum Information Science, Sensing, and Computation XV 2023 - Orlando, United States
    Duration: May 3 2023May 4 2023

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    Volume12517
    ISSN (Print)0277-786X
    ISSN (Electronic)1996-756X

    Conference

    ConferenceQuantum Information Science, Sensing, and Computation XV 2023
    Country/TerritoryUnited States
    CityOrlando
    Period5/3/235/4/23

    All Science Journal Classification (ASJC) codes

    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics
    • Computer Science Applications
    • Applied Mathematics
    • Electrical and Electronic Engineering

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