Advances in Magnetics Roadmap on Spin-Wave Computing

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 off...

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Published inIEEE transactions on magnetics Vol. 58; no. 6; pp. 1 - 72
Main Authors Chumak, A. V., Kabos, P., Wu, M., Abert, C., Adelmann, C., Adeyeye, A. O., Akerman, J., Aliev, F. G., Anane, A., Awad, A., Bauer, G. E. W., Becherer, M., Beginin, E. N., Bittencourt, V. A. S. V., Blanter, Y. M., Bortolotti, P., Boventer, I., Bozhko, D. A., Bunyaev, S. A., Carmiggelt, J. J., Cheenikundil, R. R., Ciubotaru, F., Cotofana, S., Csaba, G., Dobrovolskiy, O. V., Dubs, C., Elyasi, M., Fripp, K. G., Golovchanskiy, I. A., Gonzalez-Ballestero, C., Graczyk, P., Grundler, D., Gruszecki, P., Guslienko, K., Haldar, A., Hamdioui, S., Hertel, R., Hillebrands, B., Hioki, T., Houshang, A., Hu, C.-M., Huebl, H., Iacocca, E., Jungfleisch, M. B., Kakazei, G. N., Khymyn, R., Kikkawa, T., Klaui, M., Klein, O., Klos, J. W., Knauer, S., Koraltan, S., Kostylev, M., Krawczyk, M., Krivorotov, I. N., Lachance-Quirion, D., Ladak, S., Lebrun, R., Li, Y., Lindner, M., Mayr, S., Melkov, G. A., Mieszczak, S., Nakamura, Y., Nembach, H. T., Nikitin, A. A., Novosad, V., Otalora, J. A., Otani, Y., Papp, A., Pigeau, B., Pirro, P., Porod, W., Porrati, F., Qin, H., Rana, B., Reimann, T., Riente, F., Romero-Isart, O., Safin, A. R., Saitoh, E., Schmidt, G., Schultheiss, H., Schultheiss, K., Serga, A. A., Sharma, S., Shaw, J. M., Suess, D., Surzhenko, O., Taniguchi, T., Urbanek, M., Ustinov, A. B., van der Sar, T., van Dijken, S., Vasyuchka, V. I., Kusminskiy, S. Viola, Wang, Q., Weides, M., Weiler, M., Wintz, S.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.06.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Institute of Electrical and Electronics Engineers. Magnetics Group
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Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
SC0020308
USDOE Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division
European Union’s Horizon 2020 Research and Innovation Programme
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2022.3149664