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    Area of Science:

    • Quantum communication
    • Network security
    • Information theory

    Background:

    • Quantum Key Distribution (QKD) networks offer secure communication channels.
    • High deployment costs necessitate efficient resource utilization strategies.
    • Multi-tenancy in QKD networks allows shared infrastructure for multiple users.

    Purpose of the Study:

    • To address the challenge of efficient multi-tenant secret-key assignment (MTKA) in QKD networks.
    • To propose a novel architecture for multi-tenant QKD networks.
    • To develop a scheme and algorithm for optimizing secret-key resource allocation.

    Main Methods:

    • Proposed a new multi-tenant QKD network architecture using software-defined networking (SDN) and quantum key pool (QKP).
    • Developed a secret-key rate sharing scheme.
    • Designed a heuristic algorithm for efficient MTKA.
    • Defined and evaluated a new performance metric, matching degree (MD).

    Main Results:

    • The proposed architecture and algorithm facilitate efficient MTKA.
    • The matching degree (MD) metric effectively balances QKD network resources with tenant demands.
    • Simulation studies demonstrate high accommodation of QKD tenant requests.

    Conclusions:

    • The developed MTKA approach enhances secret-key resource usage efficiency in multi-tenant QKD networks.
    • Maximizing the matching degree (MD) leads to improved network performance and user satisfaction.
    • The proposed SDN-based architecture provides a scalable solution for future QKD network deployments.