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Probabilistic Spin Wave Computing with quasistatic magnetic inputs

Published 23 May 2023 in physics.app-ph and cond-mat.mtrl-sci | (2306.07976v1)

Abstract: Spin wave computing device where an algorithm can be encoded by recording a corresponding magnetization pattern onto a hard magnetic material was previously proposed1 and a particular implementation of a vector-matrix algorithm was demonstrated. In the present article we analyze the conditions allowing for implementation of complex algorithms which can combine multiple additive, multiplicative and conditional operators including logic expressions. Special attention is given to how the input data is provided. Rather than relying on a set of independent sources of the RF field as is common with the existing spin wave computing methods we demonstrate usability of more simple solutions using adjustable external quasistatic magnetic fields. We also show how for the given setup probabilistic switching of magnetic elements at elevated temperatures can be used to convert deterministic algorithms into a probabilistic form.

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