Harnessing stochasticity for superconductive multi-layer spike-rate-coded neuromorphic networks

Harnessing stochasticity for superconductive multi-layer spike-rate-coded neuromorphic networks

Conventional semiconductor-based integrated circuits are gradually approaching fundamental scaling limits. Many prospective solutions have recently emerged to supplement or replace both the technology on which basic devices are built and the architecture of data processing. Neuromorphic circuits are...

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Bibliographic Details
Main Authors: Alexander J Edwards, Gleb Krylov, Joseph S Friedman, Eby G Friedman
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Neuromorphic Computing and Engineering
Subjects:
neuromorphic computing
stochasticity
single flux quantum logic
superconductor electronics
Online Access:https://doi.org/10.1088/2634-4386/ad207a

Internet

https://doi.org/10.1088/2634-4386/ad207a

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