Shadows of quantum machine learning

Abstract Quantum machine learning is often highlighted as one of the most promising practical applications for which quantum computers could provide a computational advantage. However, a major obstacle to the widespread use of quantum machine learning models in practice is that these models, even on...

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Détails bibliographiques
Auteurs principaux: Sofiene Jerbi, Casper Gyurik, Simon C. Marshall, Riccardo Molteni, Vedran Dunjko
Format: Article
Langue:English
Publié: Nature Portfolio 2024-07-01
Collection:Nature Communications
Accès en ligne:https://doi.org/10.1038/s41467-024-49877-8