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Noise-injected analog Ising machines enable ultrafast statistical sampling and machine learning

Ising machines are a promising non-von-Neumann computational concept for neural network training and combinatorial optimization. However, while various neural networks can be implemented with Ising machines, their inability to perform fast statistical sampling makes them inefficient for training neu...

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Detalles Bibliográficos
Autores principales: Böhm, Fabian, Alonso-Urquijo, Diego, Verschaffelt, Guy, Van der Sande, Guy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9532389/
https://www.ncbi.nlm.nih.gov/pubmed/36195589
http://dx.doi.org/10.1038/s41467-022-33441-3