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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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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 |