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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