Quantum K-means clustering method for detecting heart disease using quantum circuit approach

The development of noisy intermediate- scale quantum computers is expected to signify the potential advantages of quantum computing over classical computing. This paper focuses on quantum paradigm usage to speed up unsupervised machine learning algorithms particularly the K-means clustering method....

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Detalles Bibliográficos
Autores principales: Kavitha, S S, Kaulgud, Narasimha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Focus
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9152652/
https://www.ncbi.nlm.nih.gov/pubmed/35668906
http://dx.doi.org/10.1007/s00500-022-07200-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9152652/
https://www.ncbi.nlm.nih.gov/pubmed/35668906
http://dx.doi.org/10.1007/s00500-022-07200-x

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