Master’s thesis research framework for noise-robust hybrid quantum–classical neural networks (HQNNs), evaluating reliability, architecture design, and deployment strategies on NISQ hardware.
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Updated
Aug 18, 2026 - Python
Master’s thesis research framework for noise-robust hybrid quantum–classical neural networks (HQNNs), evaluating reliability, architecture design, and deployment strategies on NISQ hardware.
An AI-powered Quantum Fingerprint Intrusion Detection System combining quantum channel fingerprinting, machine learning, and real-time threat monitoring to secure next-generation communication networks.
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