Thermally-robust spatiotemporal parallel reservoir computing by frequency filtering in frustrated magnets.

ABSTRACT: Physical reservoir computing is a framework for brain-inspired information processing that utilizes nonlinear and high-dimensional dynamics in non-von-Neumann systems. In recent years, spintronic devices have been proposed for use as physical reservoirs, but their practical application remains a major challenge, mainly because thermal noise prevents them from retaining short-term memory, the essence of neuromorphic computing. Here, we propose a framework for spintronic physical reservoirs that exploits frequency domain dynamics in interacting spins. Through the effective use of frequency filters, we demonstrate, for a model of frustrated magnets, both robustness to thermal fluctuations and feasibility of frequency division multiplexing. This scheme can be coupled with parallelization in sp

SUBMITTER: Kobayashi K 

PROVIDER: S-EPMC10564978 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature