Implementing a magnonic time-delay reservoir computer model

Abstract

Recently we demonstrated experimentally that microwave oscillators based on the time delay feedback provided by traveling spin waves could operate as reservoir computers. In the present paper, we extend this concept by adding the feature of time multiplexing made available by the large propagation times/distances of traveling spin waves. The system utilizes the nonlinear behavior of propagating magnetostatic surface spin waves in a yttrium-iron garnet thin film and the time delay inherent in the active ring configuration to process time dependent data streams. Higher reservoir dimensionality is obtained through the time-multiplexing method, emulating "virtual" neurons as temporally separated spin-wave pulses circulating in the active ring below the auto-oscillation threshold. To demonstrate the efficacy of the concept, the active ring reservoir computer is evaluated on the short-term memory and parity check benchmark tasks, and the physical system parameters are tuned to optimize performance. By incorporating a reference line to mix the input signal directly onto the active ring output, both the amplitude and phase nonlinearity of the spin waves can be exploited, resulting in significant improvement on the nonlinear parity check task. We also find that the fading memory capacity of the system can be easily tuned by controlling the active ring gain. Finally, we show that the addition of a second spin-wave delay line configured to transmit backward volume spin waves can partly compensate dispersive pulse broadening and enhance the fading memory capacity of the active ring.

arXiv comment14 pages, 7 figures

References in corpus (14)

• Recent Advances in Physical Reservoir Computing: A Review
• Optoelectronic Reservoir Computing
• Physical reservoir computing -- An introductory perspective
• A magnetic skyrmion as a non-linear resistive element - a potential building block for reservoir computing
• Tutorial: Photonic Neural Networks in Delay Systems
• Potential implementation of Reservoir Computing models based on magnetic skyrmions
• Physical reservoir computing built by spintronic devices for temporal information processing
• Macromagnetic simulation for reservoir computing utilizing spin dynamics in magnetic tunnel junctions
• Reservoir computing with the frequency, phase and amplitude of spin-torque nano-oscillators
• Reservoir Computing on Spin-Torque Oscillator Array
• Reservoir computing using a spin-wave delay line active ring resonator
• Temporal pattern recognition with delayed feedback spin-torque nano-oscillators
• Reservoir computing with dipole-coupled nanomagnets
• Periodic structure of memory function in spintronics reservoir with feedback current

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