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Research project title

Network Anomaly Detection with Quantum Machine Learning

Education level

Master or doctorate

Director/co-director

Director: Soumaya Cherkaoui

End of display

August 29, 2025

Areas of expertise

Artificial intelligence

Cybersecurity

Communications networks

Classical and quantum physics

Secondary sphere(s) of excellence in research

Industry of the Future and Digital Society

Modeling and Artificial Intelligence

Unit(s) and department(s)

Department of Computer Engineering and Software Engineering

Conditions

The goal of the project is to design and develop a framework for network anomaly detection by using quantum and clasical/quantum machine learning algorithms

Financing possibility

Financial support available. The project is spread over three years.