Optimizing Quantum Classification Algorithms on Classical Benchmark Datasets

Optimizing Quantum Classification Algorithms on Classical Benchmark Datasets

The discovery of quantum algorithms offering provable advantages over the best known classical alternatives, together with the parallel ongoing revolution brought about by classical artificial intelligence, motivates a search for applications of quantum information processing methods to machine lear...

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Bibliographic Details
Main Authors: Manuel John, Julian Schuhmacher, Panagiotis Barkoutsos, Ivano Tavernelli, Francesco Tacchino
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Entropy
Subjects:
quantum machine learning
quantum classification algorithms
quantum kernel methods
Online Access:https://www.mdpi.com/1099-4300/25/6/860

Internet

https://www.mdpi.com/1099-4300/25/6/860

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