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Training the parametric interactions in an analog bosonic quantum neural network with Fock basis measurement

Abstract Quantum neural networks promise to extend the power of machine learning into the quantum domain, with potential applications ranging from automatic recognition of quantum states to the control of quantum devices. However, their physical implementation and training remain challenging. In par...

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Bibliografski detalji
Glavni autori: Julien Dudas, Baptiste Carles, Elie Gouzien, Julie Grollier, Danijela Marković
Format: Artigo
Jezik:Inglês
Izdano: Nature Portfolio 2026-03-01
Serija:Scientific Reports
Online pristup:https://doi.org/10.1038/s41598-026-45038-7
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