Supplement 70 to ITU-T Y-series Recommendations (07/2021) ITU-T Y.3800-series – Quantum key distribution networks – Applications of machine learning
Summary
History
FOREWORD
Table of Contents
1 Scope
2 References
3 Terms and definitions
     3.1 Terms defined elsewhere
     3.2 Terms defined in this Supplement
4 Abbreviations and acronyms
5 Conventions
6 Overview
7 Application of ML to the quantum layer of a QKDN
     7.1 Introduction
     7.2 Use case QL01: ML-based quantum channel performance prediction
     7.3 Use case QL02: ML-based QKD system parameter optimization
     7.4 Use case QL03: ML-based RUL prediction of components in a QKD system
8 Applications of ML in the key management layer of a QKDN
     8.1 Introduction
     8.2 Use case KM01: ML-based key formatting
     8.3 Use case KM02: ML-based key storage management
     8.4 Use case KM03: ML-based suspicious behaviour detection in the key management layer
9 Applications of ML in the control and management layers of QKDN
     9.1 Introduction
     9.2 Use case CML01: ML-based data collection and data pre-processing
     9.3 Use case CML02: ML-based routing
     9.4 Use case CML03: ML-based QKDN fault prediction
Bibliography
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