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Machine Learning in a Quantum World

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Advances in Artificial Intelligence (Canadian AI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4013))

Abstract

Quantum Information Processing (QIP) performs wonders in a world that obeys the laws of quantum mechanics, whereas Machine Learning (ML) is generally assumed to be done in a classical world. We initiate an investigation of the encounter of ML with QIP by defining and studying novel learning tasks that correspond to Machine Learning in a world in which the information is fundamentally quantum mechanical. We shall see that this paradigm shift has a profound impact on the learning process and that our classical intuition is often challenged.

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© 2006 Springer-Verlag Berlin Heidelberg

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Aïmeur, E., Brassard, G., Gambs, S. (2006). Machine Learning in a Quantum World. In: Lamontagne, L., Marchand, M. (eds) Advances in Artificial Intelligence. Canadian AI 2006. Lecture Notes in Computer Science(), vol 4013. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11766247_37

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  • DOI: https://doi.org/10.1007/11766247_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34628-9

  • Online ISBN: 978-3-540-34630-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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