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Quantum feature encoding optimization

Published in ArXiv.org • Dec 2, 2025
NobleIDNI9P12W80R65S34
Authors:
Tommaso Fioravanti
,
Brian Quanz
,
Gabriele Agliardi

Abstract

Quantum Machine Learning (QML) holds the promise of enhancing machine learning modeling in terms of both complexity and accuracy. A key challenge in this domain is the encoding of input data, which plays a pivotal role in determining the performance of QML models. In this work, we tackle a largely u...

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