Quantum Kernel Machine Learning for Drug Design A rigorous, end-to-end Qiskit implementation of quantum kernel SVMs for predicting blood-brain barrier permeability (BBBP) — a core ADMET property in CNS drug discovery — with three controlled experiments that actually test whether the quantum part is doing anything useful.
machine-learning cheminformatics reproducible-research svm computational-chemistry quantum-computing drug-discovery kernel-methods drug-design support-vector-machines quantum-machine-learning quantum-ai qiskit admet blood-brain-barrier quantum-kernel molecular-machine-learning bbbp quantum-kernel-svm cns-drug-discovery
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Updated
Jun 19, 2026 - Python