Polytechnique x Thales Digital Solutions x Zetane Systems Inc.

Traditionally, machine learning methods require considerable computing resources and have a steep learning curve. Recent advances in quantum computing are opening up new possibilities for detecting anomalies in networks.

This collaborative project leverages the innovative capabilities of quantum machine learning, offering two major advantages:

1) Significant performance improvements: reduced execution times and increased learning capacity.
2) Enhanced intrusion and anomaly detection: systems based on quantum computing will be better able to identify unusual behavior in networks.

These results will have far-reaching implications, not only in the field of cybersecurity, but also in other sectors, extending the project’s impact well beyond the detection of network anomalies alone.