Archivio Istituzionale della RicercaMagnonics 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 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 current challenges and the outlook of further development for each research direction.
Advances in Magnetics Roadmap on Spin-Wave Computing / Chumak, A. V.; Kabos, P.; Wu, M.; Abert, C.; Adelmann, C.; Adeyeye, A.; Akerman, 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.; Klaui, M.; Klein, O.; Klos, 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.; Macedo, 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.; Urbanek, M.; Usami, K.; Ustinov, A. B.; Van der Sar, T.; Van Dijken, S.; Vasyuchka, V. I.; Verba, R.; Viola Kusminskiy, S.; Wang, Q.; Weides, M.; Weiler, M.; Wintz, S.; Wolski, S. P.; Zhang, X.. - In: IEEE TRANSACTIONS ON MAGNETICS. - ISSN 0018-9464. - ELETTRONICO. - 58:6(2022). [10.1109/TMAG.2022.3149664]
Advances in Magnetics Roadmap on Spin-Wave Computing
Riente, F.;
2022
Abstract
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 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 current challenges and the outlook of further development for each research direction.
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https://hdl.handle.net/11583/2955552