Advances in Magnetics Roadmap on Spin-Wave Computing

V. Chumak, Andrii; Kaboš, Pavel; Wu, Mingzhong; Abert, Claas; Adelmann, Christoph; O. Adeyeye, A.; Åkerman, Johan; G. Aliev, F.; Anane, A.; A. Awad, Ahmad; H. Back, C.; Barman, Anjan; Bauer, G.; Becherer, Markus; N. Beginin, E.; A. S. V. Bittencourt, Victor; M. Blanter, Yaroslav; Bortolotti, Paolo; Boventer, Isabella; A. Bozhko, Dmytro; A. Bunyaev, S.; J. Carmiggelt, Joris; Cheenikundil, Rajgowrav; Ciubotaru, Florin; Cotöfană, Sorin; Csaba, György; V. Dobrovolskiy, Oleksandr; Dubs, Carsten; Elyasi, Mehrdad; G. Fripp, K.; Fulara, Himanshu; A. Golovchanskiy, I.; Gonzalez-Ballestero, Carlos; Graczyk, Piotr; Grundler, Dirk; Gruszecki, Paweł; Gubbiotti, G.; Y. Guslienko, K.; Haldar, Arabinda; Hamdioui, Said; Hertel, Riccardo; Hillebrands, B.; Hioki, Tomosato; Houshang, Afshin; Hu, C.‐M.; Huebl, Hans; Huth, Michael; Iacocca, Ezio; Benjamin Jungfleisch, M.; N. Kakazeı̆, G.; Khitun, Alexander; Khymyn, Roman; Kikkawa, Takashi; Kläui, Mathias; Klein, O.; W. Kłos, Jarosław; Knauer, Sebastian; Koraltan, Sabri; Kostylev, Mikhail; Krawczyk, Maciej; N. Krivorotov, I.; V. Kruglyak, V.; Lachance-Quirion, Dany; Ladak, Sam; Lebrun, Romain; Li, Yuelin; Lindner, Morris; Macêdo, Rair; Mayr, Sina; A. Melkov, G.; Mieszczak, Szymon; Nakamura, Yasunobu; T. Nembach, Hans; А. Никитин, А.; A. Nikitov, S.; Novosad, V.; A. Otálora, Jorge; Otani, Y.; Papp, Ádám; Pigeau, Benjamin; Pirro, Philipp; Porod, Wolfgang; Porrati, Fabrizio; Qin, Huajun; Rana, Bivas; Reimann, Timmy; Riente, Fabrizio; Romero‐Isart, Oriol; Ross, Andrew; V. Sadovnikov, А.; R. Safin, A.; Saitoh, E; Schmidt, G.; Schultheiss, H; Schultheiß, Katrin; A Serga, A; Sharma, Sanchar; E. Shaw, J.; Suess, D; B. Surzhenko, A.; Szulc, K; Taniguchi, T; Urbánek, Michal; Usami, K; Б. Устинов, А.; van Der Sar, T; van Dijken, Sebastiaan; I. Vasyuchka, Vitaliy; Verba, R; Viola Kusminskiy, S; Wang, Q.; Weides, M; Weiler, Mathias; Wintz, S.; P Wolski, S; Zhang, X

doi:10.1109/tmag.2022.3149664

Public

Advances in Magnetics Roadmap on Spin-Wave Computing

Published in IEEE Transactions on Magnetics • Feb 7, 2022

Authors:

Andrii V. Chumak

Pavel Kaboš

Mingzhong Wu

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 off...

Subject

Magnonics

Neuromorphic engineering

Computer science

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