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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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| Publicado en: | Proc Math Phys Eng Sci |
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| Autores principales: | , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
The Royal Society Publishing
2018
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| Materias: | |
| Acceso en línea: | 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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