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Quantum machine learning beyond kernel methods

Machine learning algorithms based on parametrized quantum circuits are prime candidates for near-term applications on noisy quantum computers. In this direction, various types of quantum machine learning models have been introduced and studied extensively. Yet, our understanding of how these models...

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Detalles Bibliográficos
Autores principales: Jerbi, Sofiene, Fiderer, Lukas J., Poulsen Nautrup, Hendrik, Kübler, Jonas M., Briegel, Hans J., Dunjko, Vedran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889392/
https://www.ncbi.nlm.nih.gov/pubmed/36720861
http://dx.doi.org/10.1038/s41467-023-36159-y

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