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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Bibliographic Details
Main Authors: Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni, Ryan Babbush, Sergio Boixo, Hartmut Neven, Jarrod R. McClean
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
Q
Online Access:https://doaj.org/article/076ad8aa820c4993a8091c6ffbf839db
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