학술논문
Roadmap on Spin-Wave Computing
Document Type
Working Paper
Author
Chumak, A. V.; Kabos, P.; Wu, M.; Abert, C.; Adelmann, C.; Adeyeye, A.; Åkerman, J.; Aliev, F. G.; Anane, A.; Awad, A.; Back, C. H.; Barman, 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.; Fulara, H.; Golovchanskiy, I. A.; Gonzalez-Ballestero, C.; Graczyk, P.; Grundler, D.; Gruszecki, P.; Gubbiotti, G.; Guslienko, K.; Haldar, A.; Hamdioui, S.; Hertel, R.; Hillebrands, B.; Hioki, T.; Houshang, A.; Hu, C. -M.; Huebl, H.; Huth, M.; Iacocca, E.; Jungfleisch, M. B.; Kakazei, G. N.; Khitun, A.; Khymyn, R.; Kikkawa, T.; Kläui, M.; Klein, O.; Kłos, J. W.; Knauer, S.; Koraltan, S.; Kostylev, M.; Krawczyk, M.; Krivorotov, I. N.; Kruglyak, V. V.; Lachance-Quirion, D.; Ladak, S.; Lebrun, R.; Li, Y.; Lindner, M.; Macêdo, R.; Mayr, S.; Melkov, G. A.; Mieszczak, S.; Nakamura, Y.; Nembach, H. T.; Nikitin, A. A.; Nikitov, S. 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.; Ross, A.; Sadovnikov, A. V.; Safin, A. R.; Saitoh, E.; Schmidt, G.; Schultheiss, H.; Schultheiss, K.; Serga, A. A.; Sharma, S.; Shaw, J. M.; Suess, D.; Surzhenko, O.; Szulc, K.; Taniguchi, T.; Urbánek, M.; Usami, K.; Ustinov, A. B.; van der Sar, T.; van Dijken, S.; Vasyuchka, V. I.; Verba, R.; Kusminskiy, S. Viola; Wang, Q.; Weides, M.; Weiler, M.; Wintz, S.; Wolski, S. P.; Zhang, X.
Source
IEEE Transactions on Magnetics 58, 0800172 (2022)
Subject
Language
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.
Comment: 74 pages, 57 figures, 500 references
Comment: 74 pages, 57 figures, 500 references