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AI for CybersecurityActive
Quantum-Enhanced Intrusion Detection
Hybrid quantum-classical detection models, and a look at how ready real enterprises are for the quantum-safe transition.
Quantum circuit diagram feeding into a classical LSTM network
Overview
Quantum computing is reshaping network security from two directions at once: as a new tool for building detectors, and as a looming threat to today’s cryptography. This project explores hybrid quantum-classical architectures for intrusion detection, alongside a survey-driven look at how prepared real enterprises actually are for a quantum-safe migration.
Related publications
- Navigating the Precision-Recall Trade-Off in Network Intrusion Detection with a Hybrid Quantum-Classical LSTM — 2026 40th International Conference on Information Networking (ICOIN)
- Are Enterprises Ready for Quantum-Safe Cybersecurity? — arXiv preprint, 2025
Status
Active. The hybrid quantum-classical LSTM work is accepted for ICOIN 2026; the enterprise-readiness survey is available as a preprint.