Quantum kernel estimation with backend-matched IBM noise modeling, plus reproducible branch-transfer coherence-witness experiments executed on superconducting quantum hardware.
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Updated
Jan 26, 2026 - Python
Quantum kernel estimation with backend-matched IBM noise modeling, plus reproducible branch-transfer coherence-witness experiments executed on superconducting quantum hardware.
Official website of the SCU Foundation — the institutional steward of the Superconducting Compute Unit (SCU) architecture.
✨ Estimate quantum kernels for binary classification on IBM Quantum hardware while ensuring numerical stability and reproducibility in experiments.
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