Quantum kernel estimation for binary classification with realistic IBM Quantum hardware noise modeling. Demonstrates full integration with IBM's 127-qubit Eagle processors.
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Updated
Jan 15, 2026 - Python
Quantum kernel estimation for binary classification with realistic IBM Quantum hardware noise modeling. Demonstrates full integration with IBM's 127-qubit Eagle processors.
Verification harness for quantum ML. A reproducible lab for stress-testing quantum models where predictive accuracy, identifiability, curvature, and robustness under noise can diverge.
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