SOURCE-LINKED INTELLIGENCE
HIGH-TC JOSEPHSON NEURONS AND SYNAPSES: TOWARDS ULTRAFAST AND ENERGY EFFICIENT SUPERCONDUCTING NEUROMORPHIC COMPUTING
sensitivity to light, magnetic and electric fields). Via these rupture ingredients, JOSEPHINE will dramatically enhance the impact of neuromorphics on its broad range of projected applications: from artificial intelligence (where it would allow supercomputer-level processors at a fraction of the environmental cost) to the control of autonomous vehicles, the Internet of Things, and novel medical applications. That constitutes the long-term vision for the science we propose. To reach that goal, we will use different strategies to realize high-Tc Josephson junctions whose weak-links are active and can be changed ""in operando"" by external stimuli. Those strategies include ""weak links"" modified by a nanoscale redox reaction, by the motion of domain walls in a ferromagnet, or by locally doping a graphene or a 2D semiconductor. Once realized, these JJs will be implemented and tested in neural networks to demonstrate their performance and their transformative effect on neuromorphics. The proposed strategy exploits recent breakthrough results of the partners (physical effects that will b
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 3438122.5
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.