Quantum computer based feature selection in machine learning

Abstract The problem of selecting an appropriate number of features in supervised learning problems is investigated. Starting with common methods in machine learning, the feature selection task is treated as a quadratic unconstrained optimisation problem (QUBO), which can be tackled with classical n...

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Bibliographic Details

Published in:	IET Quantum Communication
Main Authors:	Gerhard Hellstern, Vanessa Dehn, Martin Zaefferer
Format:	Article
Language:	English
Published:	Wiley 2024-09-01
Subjects:	quantum computing quantum computing techniques quantum gates
Online Access:	https://doi.org/10.1049/qtc2.12086