HellasQCI
Published September 12, 2025 | Version v1
Journal Open

Real-Time Diagnostics on a QKD Link via QBER Time-Series Analysis

Authors/Creators

  • 1. ROR icon National and Kapodistrian University of Athens

Description

The integration of QKD systems in metro optical networks raises challenges that cannot
be fully resolved with current technological means. In this work, we devised a methodology for
identifying different types of impairments for a QKD link embedded in a communication network.
Identification occurs in real time using a supervised machine learning model designed for this
purpose. The model takes only QBER and SKR time-series data as the input, making its applicability
not restricted to any specific QKD protocol or system. The output of the model specifies the
working conditions for the QKD link, which is information that can be valuable for users and key
management systems.

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Additional details

Funding

European Commission
HellasQCI 101091504
European Commission
ALLEGRO 101092766

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