Advances in Magnetics Roadmap on Spin-Wave Computing
Advances in Magnetics Roadmap on Spin-Wave Computing
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DOI：
10.1109/tmag.2022.3149664
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发表时间：
2022-06-01
影响因子：
2.1
通讯作者：
Zhang, X.
中科院分区：
文献类型：
--
作者：
Chumak, A. V.;Kabos, P.;Zhang, X.
Magnonics解决了自旋波的物理性质，并利用它们进行数据处理。可扩展到原子尺寸，在GHz到THz频率范围内工作，利用非线性和非互易现象，以及与CMOS的兼容性只是磁振子提供的许多优点中的一小部分。虽然磁振子仍然主要定位于学术领域，但该领域的科学和技术挑战正在被广泛研究，许多概念验证原型已经在实验室中实现。这个路线图是许多作者集体工作的产物，它涵盖了通用的自旋波计算方法，概念构建块和底层物理现象。特别是，路线图讨论了布尔数字数据的计算操作，非常规方法，如神经形态计算，以及基于磁振子的量子计算的进展。这篇文章被组织成一个子部分的集合，分为七个大的主题部分。每一小节由一位或一组作者编写，最后简要介绍了每个研究方向目前面临的挑战和进一步发展的前景。
Magnonics addresses the physical properties of spin waves and utilizes them for data processing. Scalability down to atomic dimensions, operation in the GHz-to-THz frequency range, utilization of nonlinear and nonreciprocal phenomena, and compatibility with CMOS are just a few of many advantages offered by magnons. Although magnonics is still primarily positioned in the academic domain, the scientific and technological challenges of the field are being extensively investigated, and many proof-of-concept prototypes have already been realized in laboratories. This roadmap is a product of the collective work of many authors, which covers versatile spin-wave computing approaches, conceptual building blocks, and underlying physical phenomena. In particular, the roadmap discusses the computation operations with the Boolean digital data, unconventional approaches, such as neuromorphic computing, and the progress toward magnon-based quantum computing. This article is organized as a collection of sub-sections grouped into seven large thematic sections. Each sub-section is prepared by one or a group of authors and concludes with a brief description of current challenges and the outlook of further development for each research direction.