Abstract
We fabricated neural-based superconducting integrated-circuits by using Nb/AlOx/Nb Josephson junctions, and demonstrated the operation of 2-bit neural-based A/D converter which is one of the circuits solving optimization problems. We used fluxon pulses as neural impulses and a Josephson junction as a threshold element. The conductance values of resistors by which Josephson transmission lines are connected represent fixed synaptic strengths. The preliminary experimental result suggests that variable critical currents of dc-SQUID may provide synapses with variable strength.
| Original language | English |
|---|---|
| Pages (from-to) | 2765-2768 |
| Number of pages | 4 |
| Journal | IEEE Transactions on Applied Superconductivity |
| Volume | 3 |
| Issue number | 1 pt 4 |
| DOIs | |
| Publication status | Published - 1993 Mar |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Physics and Astronomy (miscellaneous)
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Cite this
Mizugaki, Y., Nakajima, K., Sawada, Y., & Yamashita, T. (1993). Superconducting implementation of neural networks using fluxon pulses. IEEE Transactions on Applied Superconductivity, 3(1 pt 4), 2765-2768. https://doi.org/10.1109/77.233508