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Quantum advantage for learning shallow neural networks with natural data distributions

Abstract Without large quantum computers to empirically evaluate performance, theoretical frameworks such as the quantum statistical query (QSQ) are a primary tool to study quantum algorithms for learning classical functions and search for quantum advantage in machine learning tasks. However, we onl...

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Bibliografiske detaljer
Principais autores: Laura Lewis, Dar Gilboa, Jarrod R. McClean
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2025-12-01
Serier:Nature Communications
Online adgang:https://doi.org/10.1038/s41467-025-68097-2
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