Quantum clustering with k-Means: A hybrid approach

Quantum computing, based on quantum theory, holds great promise as an advanced computational paradigm for achieving fast computations. Quantum algorithms are expected to surpass their classical counterparts in terms of computational complexity for certain tasks, including machine learning. In this p...

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Bibliographic Details

Published in:	Theoretical computer science Vol. 992; p. 114466
Main Authors:	Poggiali, Alessandro, Berti, Alessandro, Bernasconi, Anna, Del Corso, Gianna M., Guidotti, Riccardo
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 21.04.2024
Subjects:	Clustering Data mining Quantum machine learning Clustering Data mining Quantum machine learning
ISSN:	0304-3975, 1879-2294
Online Access:	Get full text
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