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Quantum machine learning: a classical perspective

Recently, increased computational power and data availability, as well as algorithmic advances, have led machine learning (ML) techniques to impressive results in regression, classification, data generation and reinforcement learning tasks. Despite these successes, the proximity to the physical limi...

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Detalles Bibliográficos
Autores principales: Ciliberto, Carlo, Herbster, Mark, Ialongo, Alessandro Davide, Pontil, Massimiliano, Rocchetto, Andrea, Severini, Simone, Wossnig, Leonard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5806018/
https://www.ncbi.nlm.nih.gov/pubmed/29434508
http://dx.doi.org/10.1098/rspa.2017.0551

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