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Advances in Magnetics Roadmap on Spin-Wave Computing

IEEE Transactions on Magnetics · 2022 · Vol. 58(6) · pp. 1–72
Andrii V. ChumakPavel KabošMingzhong WuClaas AbertChristoph AdelmannA. O. AdeyeyeJohan ÅkermanF. G. AlievA. AnaneAhmad A. AwadC. H. BackAnjan BarmanG. BauerMarkus BechererE. N. BegininVictor A. S. V. BittencourtYaroslav M. BlanterPaolo BortolottiIsabella BoventerDmytro A. BozhkoS. A. BunyaevJoris J. CarmiggeltRajgowrav CheenikundilFlorin CiubotaruSorin CotöfanăGyörgy CsabaOleksandr V. DobrovolskiyCarsten DubsMehrdad ElyasiK. G. FrippHimanshu FularaI. A. GolovchanskiyCarlos Gonzalez-BallesteroPiotr GraczykDirk GrundlerPaweł GruszeckiG. GubbiottiK. Y. GuslienkoArabinda HaldarSaid HamdiouiRiccardo HertelB. HillebrandsTomosato HiokiAfshin HoushangC.‐M. HuHans HueblMichael HuthEzio IacoccaM. Benjamin JungfleischG. N. Kakazeı̆Alexander KhitunRoman KhymynTakashi KikkawaMathias KläuiO. KleinJarosław W. KłosSebastian KnauerSabri KoraltanMikhail KostylevMaciej KrawczykI. N. KrivorotovV. V. KruglyakDany Lachance-QuirionSam LadakRomain LebrunYuelin LiMorris LindnerRair MacêdoSina MayrG. A. MelkovSzymon MieszczakYasunobu NakamuraHans T. NembachА. А. НикитинS. A. NikitovV. NovosadJorge A. OtáloraY. OtaniÁdám PappBenjamin PigeauPhilipp PirroWolfgang PorodFabrizio PorratiHuajun QinBivas RanaTimmy ReimannFabrizio RienteOriol Romero‐IsartAndrew RossА. V. SadovnikovA. R. SafinE SaitohG. SchmidtH SchultheissKatrin SchultheißA A SergaSanchar SharmaJennifer ShawD SuessA. B. SurzhenkoK SzulcT TaniguchiMichal UrbánekK UsamiА. Б. УстиновT van Der SarSebastiaan van DijkenVitaliy I. VasyuchkaR VerbaS Viola KusminskiyQingxiao WangM WeidesMathias WeilerS. WintzS P WolskiX Zhang

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, 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.

Neural Networks and Reservoir ComputingMagnetic properties of thin filmsQuantum and electron transport phenomenaMagnonicsNeuromorphic engineeringComputer scienceScalabilityPhysicsArtificial intelligenceQuantum mechanicsSpin polarization

Funding

  • National Science Foundation
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
  • Austrian Science Fund
  • Russian Science Foundation
  • Engineering and Physical Sciences Research Council
  • Leibniz-Gemeinschaft
  • Fundação para a Ciência e a Tecnologia
  • Division of Materials Research
  • Division of Electrical, Communications and Cyber Systems
Citations
431
FWCI
57.50
field-weighted impact
References
615
Percentile
100%
vs. same field & year
Citations per year
References
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Journal of Physics D Applied Physics · 2010 · 656 citations
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