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Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling

Fuente: arXiv

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Bibliographic Details
Main Authors:	Kölle, Michael, Ahouzi, Afrae, Debus, Pascal, Çetiner, Elif, Müller, Robert, Schuman, Daniëlle, Linnhoff-Popien, Claudia
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Quantum Physics
Online Access:	Acceder al recurso
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