Benchmarking a magnon-scattering reservoir with modal and temporal multiplexing
Christopher Heins, Joo-Von Kim, Lukas K\"orber, J\"urgen Fassbender,, Helmut Schultheiss, and Katrin Schultheiss

TL;DR
This paper benchmarks a magnon-scattering reservoir in a magnetic disk for reservoir computing, demonstrating its ability to perform memory and nonlinear tasks based on magnon interactions, regardless of the read-out scheme.
Contribution
It introduces a novel magnon-scattering reservoir system and evaluates its performance in memory and nonlinear transformation tasks using spectral and temporal multiplexing.
Findings
Memory and nonlinear transformation capabilities are independent of read-out scheme.
Reservoir capacity is primarily determined by nonlinear magnon interactions.
Spectral and temporal multiplexing yield comparable performance.
Abstract
Physical reservoir computing has emerged as a powerful framework for exploiting the inherent nonlinear dynamics of physical systems to perform computational tasks. Recently, we presented the magnon-scattering reservoir, whose internal nodes are given by the fundamental wave-like excitations of ferromagnets called magnons. These excitations can be geometrically-quantized and, in response to an external stimulus, show transient nonlinear scattering dynamics that can be harnessed to perform memory and nonlinear transformation tasks. Here, we test a magnon-scattering reservoir in a single magnetic disk in the vortex state towards two key performance indicators for physical reservoir computing, the short-term memory and parity-check tasks. Using time-resolved Brillouin light scattering microscopy, we measure the evolution of the reservoir's spectral response to an input sequence consisting…
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Taxonomy
TopicsMechanical and Optical Resonators · Characterization and Applications of Magnetic Nanoparticles · Acoustic Wave Resonator Technologies
