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Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines

Machine learning is considered to be one of the most promising applications of quantum computing. Therefore, the search for quantum advantage of the quantum analogues of machine learning models is a key research goal. Here, we show that variational quantum classifiers and support vector machines wit...

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Detalles Bibliográficos
Autores principales: Jäger, Jonas, Krems, Roman V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9895068/
https://www.ncbi.nlm.nih.gov/pubmed/36732519
http://dx.doi.org/10.1038/s41467-023-36144-5