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...

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Bibliografische gegevens

Hoofdauteur:	Muhammad Afaq
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	IEEE 2025-01-01
Reeks:	IEEE Open Journal of the Communications Society
Onderwerpen:	Software-defined networking link prediction quantum machine learning hybrid classical-quantum model quantum support vector machine
Online toegang:	https://ieeexplore.ieee.org/document/11271813/
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