Hybrid Quantum Technologies for Quantum Support Vector Machines

Hybrid Quantum Technologies for Quantum Support Vector Machines

Quantum computing has rapidly gained prominence for its unprecedented computational efficiency in solving specific problems when compared to classical computing counterparts. This surge in attention is particularly pronounced in the realm of quantum machine learning (QML) following a classical trend...

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Bibliographic Details
Main Authors: Filippo Orazi, Simone Gasperini, Stefano Lodi, Claudio Sartori
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Information
Subjects:
quantum computing
quantum machine learning
quantum support vector machine
quantum annealling
gate-based quantum computation
Online Access:https://www.mdpi.com/2078-2489/15/2/72

Internet

https://www.mdpi.com/2078-2489/15/2/72

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