A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms
Published in ArXiv, 2022
We demonstrate that the classical and quantum encoding of classical data can have a practical effect in the industry for QML methods. We compare for two datasets (real-world datasets) that QML algorithms can have an advantage compare to classical ML methods.
Recommended citation: Mancilla, Javier and Pere, Christophe (2022). "A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms." arXiv. https://arxiv.org/abs/2208.13251