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Training-efficient density quantum machine learning

Abstract Quantum machine learning (QML) requires powerful, flexible and efficiently trainable models to be successful in solving challenging problems. We introduce density quantum neural networks, a model family that prepares mixtures of trainable unitaries, with a distributional constraint over coe...

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Detalhes bibliográficos
Main Authors: Brian Coyle, Snehal Raj, Natansh Mathur, El Amine Cherrat, Nishant Jain, Skander Kazdaghli, Iordanis Kerenidis
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Portfolio 2025-11-01
Colecção:npj Quantum Information
Acesso em linha:https://doi.org/10.1038/s41534-025-01099-6
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