使用预记录磁化模式的自旋波计算
Spin Wave Computing using pre-recorded magnetization patterns
AI总结：
提出一种由硬磁偏置层与低阻尼传播层构成的自旋波计算器件，通过预记录磁化模式调控自旋波散射与干涉，实现傅里叶变换、向量-矩阵乘法和 Grover 搜索，性能参数较传统设计提升数个数量级。
摘要：
我们提出了一种新型自旋波计算器件，它基于双层结构，包括由硬磁材料制成的偏置层和由低阻尼磁性材料（例如钇铁石榴石（YiG）或坡莫合金）制成的传播层。偏置层保持稳定的预记录磁化模式，产生具有所需空间依赖性的偏置场，进而设定传播层内部的平衡磁化。当外部源向传播层施加射频场或自旋波时，受激发的自旋波在磁化的非均匀性上发生散射，从而产生复杂的干涉行为。因此，人们能够仅通过改变偏置层中的磁化来调节自旋波传播特性。我们证明，该现象可用于执行多种计算操作，包括傅里叶变换、向量-矩阵乘法和 Grover 搜索算法，并且其运行参数比传统设计高出数个数量级。
英文摘要：
We propose a novel type of a spin wave computing device, based on a bilayer structure which includes a bias layer, made from a hard magnetic material and a propagation layer, made from a magnetic material with low damping, for example, Yttrium Garnet (YiG) or Permalloy. The bias layer maintains a stable pre-recorded magnetization pattern, generating a bias field with a desired spatial dependence, which in turn sets the equilibrium magnetization inside the propagation layer. When an external source applies an RF field or spinwave to the propagation layer, excited spin waves scatter on the magnetization's inhomogenuities, resulting in a complex interference behavior. One thus has the ability to adjust spin wave propagation properties simply by altering the magnetization in the bias layer. We demonstrate that the phenomenon can be utilized to perform a variety of computational operations, including Fourier Transform, Vector-Matrix multiplication and Grover search algorithm, with the operational parameters exceeding conventional designs by orders of magnitude.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
