准静态磁输入下的概率自旋波计算
Probabilistic Spin Wave Computing with quasistatic magnetic inputs
AI总结：
本文针对自旋波计算的复杂算法实现与输入方式问题，提出采用可调节准静态磁场替代独立射频场源的方案，并利用磁性元件概率开关特性实现确定性算法到概率形式的转换。
摘要：
此前已有研究提出一种自旋波计算器件，可通过在硬磁材料上记录对应的磁化图案来编码算法，且已验证了向量-矩阵算法的一种具体实现。本文分析了实现复杂算法的可行条件，这类算法可组合多种加法、乘法和条件算子，包括逻辑表达式。本文重点研究了输入数据的提供方式：不同于现有自旋波计算方法通常依赖一组独立射频场源的方案，本文证明了采用可调节外部准静态磁场的更简单方案具备可行性。本文还展示了在给定装置下，如何利用升温时磁性元件的概率开关特性，将确定性算法转换为概率形式。
英文摘要：
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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