Author

Iker Pastor-López

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Preprint Sep 2026

Sharp Target-Domain Certificates for Quantum-Kernel Advantage under Distribution Shift

Quantum predictive advantage under shift usually requires known target labels. We derive the assumption-free sharp identified interval for the finite-batch advantage of a fixed candidate over the best member of a prespecified fixed classical-kernel family under any bounded loss and unrestricted completions of the unaud...

Roberto Fernández-Barrios, Iker Pastor-López, Asier Gonzalez-Santocildes et al. · 1 citation

Preprint Sep 2026

Conditional validity of quantum event classifiers under collider systematics and quantum estimation uncertainty

Claims about a deployed quantum machine-learning classifier can fail when target data shift or when finite-shot quantum evaluation randomizes the model itself. We develop an information-conditional, fail-closed auditing framework that returns supported, refuted or unresolved verdicts with anytime-valid per-claim error...

Roberto Fernández-Barrios, Iker Pastor-López, Asier Gonzalez-Santocildes et al. · 2 citations

#machine learning Preprint Sep 2026

Candidate Comparability Before Promotion: Conditional Validation in Adaptive Network Intrusion Detection

Challenger construction and evidence should be controlled, reported and interpreted explicitly when promotion is evaluated, and policy ordering changed with candidate comparability, no policy globally dominated, and earlier compatibility statements for a label-free estimator and a calibrated ensemble narrowed.

Roberto Fernández-Barrios, Iker Pastor-López, A. Pikatza-Huerga et al. · 1 citation