Hybrid Classical–Quantum Kernel Learning for Scalable and Secure Link State Prediction in Software-Defined Networks

Software-Defined Networks (SDNs) with their centralized control system and enhanced programmability requires a sophisticated approach to predict link states in complex network topologies. While predictive performance of traditional machine learning (ML) models remains high on static data, they strug...

Descripció completa

Dades bibliogràfiques

Autor principal:	Muhammad Afaq
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Open Journal of the Communications Society
Matèries:	Software-defined networking link prediction quantum machine learning hybrid classical-quantum model quantum support vector machine
Accés en línia:	https://ieeexplore.ieee.org/document/11271813/
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!