标题： 通过QBER时间序列分析在QKD链路上进行实时诊断 显示英文标题

标题： Real-time diagnostics on a QKD link via QBER Time Series Analysis

摘要： 将QKD系统集成到城域光网络中带来了挑战，这些挑战目前的技术状态无法完全解决。 在本工作中，我们设计了一种方法，用于识别在操作网络中量子信道传输过程中可能出现的不同类型的损害。 该方法围绕一个监督式机器学习流程构建，该流程以QBER和SKR的时间序列作为输入，并且不需要对QKD系统进行进一步干预。 损害的识别是在实时进行的，尽管此类信息不能逆转事件，但这对用户、运营商和密钥管理系统来说仍然具有价值。 显示英文摘要

摘要： The integration of QKD systems in Metro optical networks raises challenges which cannot be completely resolved with the current technological status. In this work we devise a methodology for identifying different kind of impairments which may occur on the quantum channel during its transmission in an operational network. The methodology is built around a supervised ML pipeline which is using as input QBER and SKR time-series and requires no further interventions on the QKD system. The identification of impairments happens in real time and even though such information cannot reverse incidents, this can be valuable for users, operators and key management system.