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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...
Tallennettuna:
| Julkaisussa: | Proc Math Phys Eng Sci |
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| Päätekijät: | , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
The Royal Society Publishing
2018
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| Aiheet: | |
| Linkit: | 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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