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News/Pareto-optimal quantum kernel selection for unsupervised anomaly detection on real malware beaconing data
arxiv
PublishedOctober 8, 2026 at 4:00 AM

Pareto-optimal quantum kernel selection for unsupervised anomaly detection on real malware beaconing data

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arXiv:2610.09717v1 Announce Type: cross Abstract: Quantum kernel methods are leading candidates for a practical quantum advantage in machine learning, but assessing that potential requires two quantities usually reported separately: how well a kernel performs on the task, and how far its geometry de

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