Entanglement entropy production in Quantum Neural Networks

Quantum Neural Networks (QNN) are considered a candidate for achieving quantum advantage in the Noisy Intermediate Scale Quantum computer (NISQ) era. Several QNN architectures have been proposed and successfully tested on benchmark datasets for machine learning. However, quantitative studies of the...

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Détails bibliographiques
Auteurs principaux: Marco Ballarin, Stefano Mangini, Simone Montangero, Chiara Macchiavello, Riccardo Mengoni
Format: Article
Langue:English
Publié: Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften 2023-05-01
Collection:Quantum
Accès en ligne:https://quantum-journal.org/papers/q-2023-05-31-1023/pdf/