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Power of data in quantum machine learning

Expectations for quantum machine learning are high, but there is currently a lack of rigorous results on which scenarios would actually exhibit a quantum advantage. Here, the authors show how to tell, for a given dataset, whether a quantum model would give any prediction advantage over a classical o...

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Bibliografische Detailangaben
Hauptverfasser: Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni, Ryan Babbush, Sergio Boixo, Hartmut Neven, Jarrod R. McClean
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2021-05-01
Schriftenreihe:Nature Communications
Online-Zugang:https://doi.org/10.1038/s41467-021-22539-9
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