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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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 |