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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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Detalhes bibliográficos
Publicado no:Proc Math Phys Eng Sci
Main Authors: Ciliberto, Carlo, Herbster, Mark, Ialongo, Alessandro Davide, Pontil, Massimiliano, Rocchetto, Andrea, Severini, Simone, Wossnig, Leonard
Formato: Artigo
Idioma:Inglês
Publicado em: The Royal Society Publishing 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5806018/
https://ncbi.nlm.nih.gov/pubmed/29434508
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rspa.2017.0551
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