Adiabatic superconducting cells for ultra-low-power artificial neural networks

We propose the concept of using superconducting quantum interferometers for the implementation of neural network algorithms with extremely low power dissipation. These adiabatic elements are Josephson cells with sigmoid- and Gaussian-like activation functions. We optimize their parameters for applic...

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Detalles Bibliográficos
Autores principales: Schegolev, Andrey E, Klenov, Nikolay V, Soloviev, Igor I, Tereshonok, Maxim V
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Beilstein-Institut 2016
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5082478/
https://www.ncbi.nlm.nih.gov/pubmed/27826513
http://dx.doi.org/10.3762/bjnano.7.130

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5082478/
https://www.ncbi.nlm.nih.gov/pubmed/27826513
http://dx.doi.org/10.3762/bjnano.7.130

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