A group of Tohoku University researchers including TI-FRIS Fellow Satoshi Iihama, Assistant Professor at Frontier Research Institute for Interdisciplinary Sciences (FRIS), has developed a theoretical model for a high-performance spin wave reservoir computing (RC) that utilizes spintronics technology. The breakthrough moves scientists closer to realizing energy-efficient, nanoscale computing with unparalleled computational power.

Figure: A physical reservoir computer performs a task to transform input data to output data, such as time-series prediction. We use magnetic thin film for the reservoir part. Information of the input is carried by spin waves and propagated to the output node (shown in blue cylinders in the bottom figure) corresponding to the nodes in the reservoir (shown in yellow in the top figure). (Credit: Springer Nature Limited)

Details of their findings were published in npj Spintronics on March 1, 2024.

Publication Details:

Title: Universal scaling between wave speed and size enables nanoscale high-performance reservoir computing based on propagating spin-waves

Authors: S. Iihama, Y. Koike, S. Mizukami, and N. Yoshinaga

Journal: npj Spintronics

DOI: 10.1038/s44306-024-00008-5

https://doi.org/10.1038/s44306-024-00008-5