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  Quantum machine learning: a classical perspective

Ciliberto, C., Herbster, M., Ialongo, A. D., Pontil, M., Rocchetto, A., Severini, S., et al. (2018). Quantum machine learning: a classical perspective. Proceedings of the Royal Society of London A, 474(2209): 20170551. doi:10.1098/rspa.2017.0551.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-BBE6-7 Version Permalink: https://hdl.handle.net/21.11116/0000-0003-BBE7-6
Genre: Journal Article

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 Creators:
Ciliberto, C.1, Author
Herbster, M.1, Author
Ialongo, A. D.2, Author           
Pontil, M.1, Author
Rocchetto, A.1, Author
Severini, S.1, Author
Wossnig, L.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2018-01-172018-01-31
 Publication Status: Issued
 Pages: 26
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1098/rspa.2017.0551
 Degree: -

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Title: Proceedings of the Royal Society of London A
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: London : Royal Society of London
Pages: - Volume / Issue: 474 (2209) Sequence Number: 20170551 Start / End Page: - Identifier: ISSN: 1364-5021
CoNE: https://pure.mpg.de/cone/journals/resource/954928604112