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PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Wang, Zhepeng, Sheng, Yi, Koirala, Nirajan, Basu, Kanad, Jung, Taeho, Lu, Cheng-Chang, Jiang, Weiwen
Formato:	Preprint
Publicado:	2024
Materias:	Quantum Physics Artificial Intelligence Cryptography and Security Emerging Technologies Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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