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Practical design and performance of physical reservoir computing using hysteresis

Published: July 8, 2025 | arXiv ID: 2507.06063v1

By: Yuhei Yamada

Potential Business Impact:

Makes computers learn faster using magnets.

Physical reservoir computing is an innovative idea for using physical phenomena as computational resources. Recent research has revealed that information processing techniques can improve the performance, but for practical applications, it is equally important to study the level of performance with a simple design that is easy to construct experimentally. We focus on a reservoir composed of independent hysteretic systems as a model suitable for the practical implementation of physical reservoir computing. In this paper, we discuss the appropriate design of this reservoir, its performance, and its limitations. This research will serve as a practical guideline for constructing hysteresis-based reservoirs.

Page Count
5 pages

Category
Computer Science:
Emerging Technologies