Kernel methods in Quantum Machine Learning

Quantum Machine Learning has established itself as one of the most promising applications of quantum computers and Noisy Intermediate Scale Quantum (NISQ) devices. In this paper, we review the latest developments regarding the usage of quantum computing for a particular class of machine learning alg...

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Bibliographic Details
Published inQuantum machine intelligence Vol. 1; no. 3-4; pp. 65 - 71
Main Authors Mengoni, Riccardo, Di Pierro, Alessandra
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.12.2019
Subjects
Artificial Intelligence
Computational Intelligence
Engineering
Quantum Information Technology
Review Article
Spintronics
Kernel methods
Quantum Machine Learning
Quantum computing
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Summary:Quantum Machine Learning has established itself as one of the most promising applications of quantum computers and Noisy Intermediate Scale Quantum (NISQ) devices. In this paper, we review the latest developments regarding the usage of quantum computing for a particular class of machine learning algorithms known as kernel methods.
ISSN:2524-4906
2524-4914
DOI:10.1007/s42484-019-00007-4