Roadmap on Spin-Wave Computing

TL;DR

This roadmap reviews the current state, challenges, and future prospects of spin-wave computing in magnonics, covering digital, neuromorphic, and quantum approaches, and emphasizing physical phenomena and technological integration.

Contribution

It provides a comprehensive overview of spin-wave computing approaches, physical principles, and future research directions in magnonics, consolidating diverse research efforts into a structured roadmap.

Findings

Magnonics offers scalable, high-frequency data processing with CMOS compatibility.

Proof-of-concept prototypes demonstrate practical potential of magnonic devices.

Progress towards quantum magnonic computing indicates future research avenues.

Abstract

Magnonics is a field of science that addresses the physical properties of spin waves and utilizes them for data processing. Scalability down to atomic dimensions, operations 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 that covers versatile spin-wave computing approaches, conceptual building blocks, and underlying physical phenomena. In particular, the roadmap discusses the computation operations with Boolean digital data, unconventional approaches like neuromorphic computing, and the progress towards magnon-based quantum computing. The 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 the current challenges and the outlook of the further development of the research directions.