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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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| Pubblicato in: | Proc Math Phys Eng Sci |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
The Royal Society Publishing
2018
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| Soggetti: | |
| Accesso online: | 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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