Temporal Pattern Recognition with Delayed-Feedback Spin-Torque Nano-Oscillators

Riou, M.; Torrejon, J.; Garitaine, B.; Araujo, F. Abreu; Bortolotti, P.; Cros, V.; Tsunegi, S.; Yakushiji, K.; Fukushima, A.; Kubota, H.; Yuasa, S.; Querlioz, D.; Stiles, M. D.; Grollier, Julie

doi:10.1103/physrevapplied.12.024049

DOE OSTI · 1613161

Temporal Pattern Recognition with Delayed-Feedback Spin-Torque Nano-Oscillators

Riou, M.·Torrejon, J.·Garitaine, B.·Araujo, F. Abreu·Bortolotti, P.·Cros, V.·Tsunegi, S.·Yakushiji, K.·Fukushima, A.·Kubota, H.·Yuasa, S.·Querlioz, D.·Stiles, M. D.·Grollier, Julie

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Abstract

The recent demonstration of neuromorphic computing with spin-torque nano-oscillators has opened a path to energy efficient data processing. The success of this demonstration hinged on the intrinsic short-term memory of the oscillators. We extend the memory of the spin-torque nano-oscillators through time-delayed feedback. We leverage this extrinsic memory to increase the efficiency of solving pattern recognition tasks that require memory to discriminate different inputs. Here, the large tunability of these nonlinear oscillators allows us to control and optimize the delayed-feedback memory using different operating conditions of applied current and magnetic field.

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75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY Artificial neural networksDevices Magnetic texture Magnetization dynamics Magnetotransport Physics Spin dynamics Spin torque Spintronics magnetic texture magnetization dynamics magnetotransport spin dynamics spin torque spintronics

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Riou, M., Torrejon, J., Garitaine, B., Araujo, F. Abreu, Bortolotti, P., Cros, V., Tsunegi, S., Yakushiji, K., Fukushima, A., Kubota, H., Yuasa, S., Querlioz, D., Stiles, M. D., Grollier, Julie. 2019-08-23. Temporal Pattern Recognition with Delayed-Feedback Spin-Torque Nano-Oscillators. https://doi.org/10.1103/physrevapplied.12.024049

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