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error-mitigation

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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

Simulation study: how many shots, and how little hardware noise, does it take to issue the kappa*sqrt(C) precision certificate of a Variational Quantum Linear Solver? Shot scaling, noise floor, zero-noise extrapolation, depth ablation, CG baseline. 3-6 qubits, 5 seeds.

  • Updated Oct 31, 2026
  • Python

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