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Study: Ultralow power artificial synapses using nanotextured magnetic Josephson junctions Citation: Michael L. Schneider, Christine A. Donnelly, Stephen E. Rus
by randomdrake 9y ago
Study: Ultralow power artificial synapses using nanotextured magnetic Josephson junctions
Citation: Michael L. Schneider, Christine A. Donnelly, Stephen E. Russek, Burm Baek, Matthew R. Pufall, Peter F. Hopkins, Paul D. Dresselhaus, Samuel P. Benz, William H. Rippard. Science Advances 26 Jan 2018. Vol. 4, no. 1, e1701329.
Link: https://doi.org/10.1126/sciadv.1701329 https://doi.org/10.1126/sciadv.1701329
DOI: 10.1126/sciadv.1701329
Abstract: Neuromorphic computing promises to markedly improve the efficiency of certain computational tasks, such as perception and decision-making. Although software and specialized hardware implementations of neural networks have made tremendous accomplishments, both implementations are still many orders of magnitude less energy efficient than the human brain. We demonstrate a new form of artificial synapse based on dynamically reconfigurable superconducting Josephson junctions with magnetic nanoclusters in the barrier. The spiking energy per pulse varies with the magnetic configuration, but in our demonstration devices, the spiking energy is always less than 1 aJ. This compares very favorably with the roughly 10 fJ per synaptic event in the human brain. Each artificial synapse is composed of a Si barrier containing Mn nanoclusters with superconducting Nb electrodes. The critical current of each synapse junction, which is analogous to the synaptic weight, can be tuned using input voltage spikes that change the spin alignment of Mn nanoclusters. We demonstrate synaptic weight training with electrical pulses as small as 3 aJ. Further, the Josephson plasma frequencies of the devices, which determine the dynamical time scales, all exceed 100 GHz. These new artificial synapses provide a significant step toward a neuromorphic platform that is faster, more energy-efficient, and thus can attain far greater complexity than has been demonstrated with other technologies.
- TeMPOraL 9y agoNot sure if you have this automated or are you doing it by hand, but either way - great work, and please keep doing it! :).
- AstralStorm 9y agoUnfortunately, they didn't mention noise properties in the abstract. Is it present in the paper? Edit: it is. The device is actually pretty difficult to implement as it requires liquid hydrogen cooling. The noise is shown to be temperature dependent but a full error analysis is not present. Looking forward to further research and an attempt to convert this quantum device to higher temperatures.
- TeMPOraL 9y agoI meant 'randomdrake posting relevant DOIs and abstracts all over HN threads discussing things that discuss scientific papers. But thanks for the clarification on the content of this paper :).