Quantum Transfer Learning with Adversarial Robustness for Classification of High‐Resolution Image Datasets

The application of quantum machine learning to large‐scale high‐resolution image datasets is not yet possible due to the limited number of qubits and relatively high level of noise in the current generation of quantum devices. In this work, this challenge is addressed by proposing a quantum transfer...

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Veröffentlicht in:	Advanced quantum technologies (Online) 2025-01, Vol.8 (1), p.n/a
Hauptverfasser:	Khatun, Amena, Usman, Muhammad
Format:	Artikel
Sprache:	eng
Schlagworte:	adversarial attack adversarial training quantum machine learning quantum transfer learning
Online-Zugang:	Volltext
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