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hybrid-quantum-classical-algorithms

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Master’s thesis research framework for noise-robust hybrid quantum–classical neural networks (HQNNs), evaluating reliability, architecture design, and deployment strategies on NISQ hardware.

  • Updated Jan 25, 2026
  • Dockerfile

⚡ Explore a powerful framework for evaluating the Quantum Approximate Optimization Algorithm (QAOA) with multi-optimizer support and GPU acceleration.

  • Updated Mar 6, 2026
  • Jupyter Notebook

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