Abdulqader Mahmoud, Florin Ciubotaru, Frederic Vanderveken, Andrii V. Chumak, Said Hamdioui, Christoph Adelmann, Sorin Cotofana
备注：
This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No. 801055 "Spin Wave Computing for Ultimately-Scaled Hybrid Low-Power Electronics" - CHIRON
This paper provides a tutorial overview over recent vigorous efforts to develop computing systems based on spin waves instead of charges and voltages. Spin-wave computing can be considered as a subfield of spintronics, which uses magnetic excitations for computation and memory applications. The tutorial combines backgrounds in spin-wave and device physics as well as circuit engineering to create synergies between the physics and electrical engineering communities to advance the field towards practical spin-wave circuits. After an introduction to magnetic interactions and spin-wave physics, all relevant basic aspects of spin-wave computing and individual spin-wave devices are reviewed. The focus is on spin-wave majority gates as they are the most prominently pursued device concept. Subsequently, we discuss the current status and the challenges to combine spin-wave gates and obtain circuits and ultimately computing systems, considering essential aspects such as gate interconnection, logic level restoration, input-output consistency, and fan-out achievement. We argue that spin-wave circuits need to be embedded in conventional CMOS circuits to obtain complete functional hybrid computing systems. The state of the art of benchmarking such hybrid spin-wave--CMOS systems is reviewed and the current challenges to realize such systems are discussed. The benchmark indicates that hybrid spin-wave--CMOS systems promise ultralow-power operation and may ultimately outperform conventional CMOS circuits in terms of the power-delay-area product. Current challenges to achieve this goal include low-power signal restoration in spin-wave circuits as well as efficient spin-wave transducers.
Distinct memory properties in spin-wave reservoir computing based on synthetic antiferromagnet
Nagoya University（名古屋大学）；WPI Advanced Institute for Materials Research (AIMR), Tohoku University（东北大学 WPI 先进材料研究所）；Center for Science and Innovation in Spintronics (CSIS), Tohoku University（东北大学自旋电子学创新科学中心）；Department of Complex and Intelligent Systems, Future University Hakodate（函馆未来大学复杂智能系统系）
Metasurfaces-Enabled Wave Computing for Future Wireless Systems: Opportunities and Challenges
Institute for Communication Systems, University of Surrey（萨里大学通信系统研究所）；Universidad de Oviedo（奥维耶多大学）；National and Kapodistrian University of Athens（雅典国立卡波迪斯特里亚斯大学）；University of Illinois Chicago（伊利诺伊大学芝加哥分校）；Centre for Wireless Innovation, Queen’s University Belfast（贝尔法斯特女王大学无线创新中心）
