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error-mitigation

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Quantum Error Mitigation: using Machine Learning This project demonstrates quantum error mitigation techniques using machine learning to improve the reliability of quantum computations in noisy quantum computers. The main goal is to mitigate measurement errors that occur during quantum computation.

  • Updated Dec 25, 2023
  • Jupyter Notebook

Hybrid classical/quantum portfolio optimizer: cleans S&P 500 data, solves Markowitz baselines with CVXPY, maps penalties into QAOA circuits, and applies ZNE/M3/DD mitigation. Includes simulation & IBM hardware runners plus analysis/visualization tooling, Mermaid diagrams, and Python‑3.11-friendly setup.

  • Updated Oct 12, 2025
  • Python

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