Master’s thesis research framework for noise-robust hybrid quantum–classical neural networks (HQNNs), evaluating reliability, architecture design, and deployment strategies on NISQ hardware.
research quantum-computing quantum-machine-learning masters-thesis qiskit cirq nisq hybrid-quantum-classical-algorithms quantum-neural-networks hybrid-models pennylane research-framework hybrid-ai hqnn variational-algorithms noise-robust-learning
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Updated
Jan 25, 2026 - Dockerfile