Optimization of QKD-networks using machine learning

Secure digital infrastructures and confidential transmissions of sensitive data are essential for todays society. In this context quantum technologies offer new promissing approaches to protect digital infrastructures.

The aim of the project is to enable the use of quantum key distribution in realistic network scenarios. Large commercial networks like those in the Industry 4.0 (the future 6G communication) and the advancing digitization and networking of society will be of particular interest. To ensure a stable and secure communication, optimized distribution of quantum keys in such large networks will be researched on.

The project team is therefore developing new methods of machine learning and integrates and tests these in suitable test routes for quantum communication.

The methods of machine learning developed in the project will enable stable quantum key distribution in heterogeneous communication networks and will therefore be an important innovation for quantum communication. After a successful project progress, the technologies will be available for critical components and interfaces that are necessary for setting up quantum communication networks. In this way, the research team lays important foundations for production in Germany and Europe. By embedding the project in the QuNET initiative, extensive preparations are also being made for the standardization of quantum communication technologies for socially and economically relevant use cases.

The focus for Infosim in the project is on hybrid network management across classic and quantum networks. A special focus is on the definition of interfaces, the monitoring and measurements of suitable KPIs, the visualization of topologies, the data collection and provisioning (e.g. for ML approaches), and on enabling automation.


Federal Ministry of Education and Research

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