Roadmap on Spin-Wave Computing

A. V. Chumak; P. Kabos; M. Wu; C. Abert; C. Adelmann; A. Adeyeye; J. Akerman; F. G. Aliev; A. Anane; A. Awad; C. H. Back; A. Barman; G. E.W. Bauer; M. Becherer; E. N. Beginin; V. A.S.V. Bittencourt; Y. M. Blanter; P. Bortolotti; I. Boventer; D. A. Bozhko; S. A. Bunyaev; J. J. Carmiggelt; R. R. Cheenikundil; F. Ciubotaru; S. Cotofana; G. Csaba; O. V. Dobrovolskiy; C. Dubs; M. Elyasi; K. G. Fripp; H. Fulara; I. A. Golovchanskiy; C. Gonzalez-Ballestero; P. Graczyk; D. Grundler; P. Gruszecki; G. Gubbiotti; K. Guslienko; A. Haldar; S. Hamdioui; R. Hertel; B. Hillebrands; T. Hioki; A. Houshang; C. M. Hu; H. Huebl; M. Huth; E. Iacocca; M. B. Jungfleisch; G. N. Kakazei; A. Khitun; R. Khymyn; T. Kikkawa; M. Klaui; O. Klein; J. W. Klos; S. Knauer; S. Koraltan; M. Kostylev; M. Krawczyk; I. N. Krivorotov; V. V. Kruglyak; D. Lachance-Quirion; S. Ladak; R. Lebrun; Y. Li; M. Lindner; R. Macedo; S. Mayr; G. A. Melkov; S. Mieszczak; Y. Nakamura; H. T. Nembach; A. A. Nikitin; S. A. Nikitov; V. Novosad; J. A. Otalora; Y. Otani; A. Papp; B. Pigeau; P. Pirro; W. Porod; F. Porrati; H. Qin; B. Rana; T. Reimann; F. Riente; O. Romero-Isart; A. Ross; A. V. Sadovnikov; A. R. Safin; E. Saitoh; G. Schmidt; H. Schultheiss; K. Schultheiss; A. A. Serga; S. Sharma; J. M. Shaw; D. Suess; O. Surzhenko; K. Szulc; T. Taniguchi; M. Urbanek; K. Usami; A. B. Ustinov; T. Van der Sar; S. Van Dijken; V. I. Vasyuchka; R. Verba; S. Viola Kusminskiy; Q. Wang; M. Weides; M. Weiler; S. Wintz; S. P. Wolski; X. Zhang

doi:10.1109/TMAG.2022.3149664

Roadmap on Spin-Wave Computing

A. V. Chumak, P. Kabos, M. Wu, C. Abert, C. Adelmann, A. Adeyeye, J. Akerman, F. G. Aliev, A. Anane, A. Awad, C. H. Back, A. Barman, G. E.W. Bauer, M. Becherer, E. N. Beginin, V. A.S.V. Bittencourt, Y. M. Blanter, P. Bortolotti, I. Boventer, D. A. BozhkoS. A. Bunyaev, J. J. Carmiggelt, R. R. Cheenikundil, F. Ciubotaru, S. Cotofana, G. Csaba, O. V. Dobrovolskiy, C. Dubs, M. Elyasi, K. G. Fripp, H. Fulara, I. A. Golovchanskiy, C. Gonzalez-Ballestero, P. Graczyk, D. Grundler, P. Gruszecki, G. Gubbiotti, K. Guslienko, A. Haldar, S. Hamdioui, R. Hertel, B. Hillebrands, T. Hioki, A. Houshang, C. M. Hu, H. Huebl, M. Huth, E. Iacocca, M. B. Jungfleisch, G. N. Kakazei, A. Khitun, R. Khymyn, T. Kikkawa, M. Klaui, O. Klein, J. W. Klos, S. Knauer, S. Koraltan, M. Kostylev, M. Krawczyk, I. N. Krivorotov, V. V. Kruglyak, D. Lachance-Quirion, S. Ladak, R. Lebrun, Y. Li, M. Lindner, R. Macedo, S. Mayr, G. A. Melkov, S. Mieszczak, Y. Nakamura, H. T. Nembach, A. A. Nikitin, S. A. Nikitov, V. Novosad, J. A. Otalora, Y. Otani, A. Papp, B. Pigeau, P. Pirro, W. Porod, F. Porrati, H. Qin, B. Rana, T. Reimann, F. Riente, O. Romero-Isart, A. Ross, A. V. Sadovnikov, A. R. Safin, E. Saitoh, G. Schmidt, H. Schultheiss, K. Schultheiss, A. A. Serga, S. Sharma, J. M. Shaw, D. Suess, O. Surzhenko, K. Szulc, T. Taniguchi, M. Urbanek, K. Usami, A. B. Ustinov, T. Van der Sar, S. Van Dijken, V. I. Vasyuchka, R. Verba, S. Viola Kusminskiy, Q. Wang, M. Weides, M. Weiler, S. Wintz, S. P. Wolski, X. Zhang

Physics

Research output: Contribution to journal › Article › peer-review

63 Citations (Scopus)

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.

Original language	English
Article number	0800172
Journal	IEEE Transactions on Magnetics
Volume	58
Issue number	6
DOIs	https://doi.org/10.1109/TMAG.2022.3149664
Publication status	Published - 1 Jun 2022

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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., ... Zhang, X. (2022). Roadmap on Spin-Wave Computing. IEEE Transactions on Magnetics, 58(6), [0800172]. https://doi.org/10.1109/TMAG.2022.3149664

@article{91cde4561db14526b867f705d4d70125,

title = "Roadmap on Spin-Wave Computing",

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.",

keywords = "computing, data processing, Logic gates, Magnetic domains, magnon, magnonics, Magnonics, Nanoscale devices, Physics, Quantum computing, Spin wave, Three-dimensional displays",

author = "Chumak, {A. V.} and P. Kabos and M. Wu and C. Abert and C. Adelmann and A. Adeyeye and J. Akerman and Aliev, {F. G.} and A. Anane and A. Awad and Back, {C. H.} and A. Barman and Bauer, {G. E.W.} and M. Becherer and Beginin, {E. N.} and Bittencourt, {V. A.S.V.} and Blanter, {Y. M.} and P. Bortolotti and I. Boventer and Bozhko, {D. A.} and Bunyaev, {S. A.} and Carmiggelt, {J. J.} and Cheenikundil, {R. R.} and F. Ciubotaru and S. Cotofana and G. Csaba and Dobrovolskiy, {O. V.} and C. Dubs and M. Elyasi and Fripp, {K. G.} and H. Fulara and Golovchanskiy, {I. A.} and C. Gonzalez-Ballestero and P. Graczyk and D. Grundler and P. Gruszecki and G. Gubbiotti and K. Guslienko and A. Haldar and S. Hamdioui and R. Hertel and B. Hillebrands and T. Hioki and A. Houshang and Hu, {C. M.} and H. Huebl and M. Huth and E. Iacocca and Jungfleisch, {M. B.} and Kakazei, {G. N.} and A. Khitun and R. Khymyn and T. Kikkawa and M. Klaui and O. Klein and Klos, {J. W.} and S. Knauer and S. Koraltan and M. Kostylev and M. Krawczyk and Krivorotov, {I. N.} and Kruglyak, {V. V.} and D. Lachance-Quirion and S. Ladak and R. Lebrun and Y. Li and M. Lindner and R. Macedo and S. Mayr and Melkov, {G. A.} and S. Mieszczak and Y. Nakamura and Nembach, {H. T.} and Nikitin, {A. A.} and Nikitov, {S. A.} and V. Novosad and Otalora, {J. A.} and Y. Otani and A. Papp and B. Pigeau and P. Pirro and W. Porod and F. Porrati and H. Qin and B. Rana and T. Reimann and F. Riente and O. Romero-Isart and A. Ross and Sadovnikov, {A. V.} and Safin, {A. R.} and E. Saitoh and G. Schmidt and H. Schultheiss and K. Schultheiss and Serga, {A. A.} and S. Sharma and Shaw, {J. M.} and D. Suess and O. Surzhenko and K. Szulc and T. Taniguchi and M. Urbanek and K. Usami and Ustinov, {A. B.} and {Van der Sar}, T. and {Van Dijken}, S. and Vasyuchka, {V. I.} and R. Verba and {Viola Kusminskiy}, S. and Q. Wang and M. Weides and M. Weiler and S. Wintz and Wolski, {S. P.} and X. Zhang",

note = "Publisher Copyright: Author",

year = "2022",

month = jun,

day = "1",

doi = "10.1109/TMAG.2022.3149664",

language = "English",

volume = "58",

journal = "Institute of Electrical and Electronics Engineers Transactions on Magnetics",

issn = "0018-9464",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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}

Chumak, AV, Kabos, P, Wu, M, Abert, C, Adelmann, C, Adeyeye, A, Akerman, J, Aliev, FG, Anane, A, Awad, A, Back, CH, Barman, A, Bauer, GEW, Becherer, M, Beginin, EN, Bittencourt, VASV, Blanter, YM, Bortolotti, P, Boventer, I, Bozhko, DA, Bunyaev, SA, Carmiggelt, JJ, Cheenikundil, RR, Ciubotaru, F, Cotofana, S, Csaba, G, Dobrovolskiy, OV, Dubs, C, Elyasi, M, Fripp, KG, Fulara, H, Golovchanskiy, IA, 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, CM, Huebl, H, Huth, M, Iacocca, E, Jungfleisch, MB, Kakazei, GN, Khitun, A, Khymyn, R, Kikkawa, T, Klaui, M, Klein, O, Klos, JW, Knauer, S, Koraltan, S, Kostylev, M, Krawczyk, M, Krivorotov, IN, Kruglyak, VV, Lachance-Quirion, D, Ladak, S, Lebrun, R, Li, Y, Lindner, M, Macedo, R, Mayr, S, Melkov, GA, Mieszczak, S, Nakamura, Y, Nembach, HT, Nikitin, AA, Nikitov, SA, Novosad, V, Otalora, JA, 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, AV, Safin, AR, Saitoh, E, Schmidt, G, Schultheiss, H, Schultheiss, K, Serga, AA, Sharma, S, Shaw, JM, Suess, D, Surzhenko, O, Szulc, K, Taniguchi, T, Urbanek, M, Usami, K, Ustinov, AB, Van der Sar, T, Van Dijken, S, Vasyuchka, VI, Verba, R, Viola Kusminskiy, S, Wang, Q, Weides, M, Weiler, M, Wintz, S, Wolski, SP & Zhang, X 2022, 'Roadmap on Spin-Wave Computing', IEEE Transactions on Magnetics, vol. 58, no. 6, 0800172. https://doi.org/10.1109/TMAG.2022.3149664

TY - JOUR

T1 - Roadmap on Spin-Wave Computing

AU - Chumak, A. V.

AU - Kabos, P.

AU - Wu, M.

AU - Abert, C.

AU - Adelmann, C.

AU - Adeyeye, A.

AU - Akerman, J.

AU - Aliev, F. G.

AU - Anane, A.

AU - Awad, A.

AU - Back, C. H.

AU - Barman, A.

AU - Bauer, G. E.W.

AU - Becherer, M.

AU - Beginin, E. N.

AU - Bittencourt, V. A.S.V.

AU - Blanter, Y. M.

AU - Bortolotti, P.

AU - Boventer, I.

AU - Bozhko, D. A.

AU - Bunyaev, S. A.

AU - Carmiggelt, J. J.

AU - Cheenikundil, R. R.

AU - Ciubotaru, F.

AU - Cotofana, S.

AU - Csaba, G.

AU - Dobrovolskiy, O. V.

AU - Dubs, C.

AU - Elyasi, M.

AU - Fripp, K. G.

AU - Fulara, H.

AU - Golovchanskiy, I. A.

AU - Gonzalez-Ballestero, C.

AU - Graczyk, P.

AU - Grundler, D.

AU - Gruszecki, P.

AU - Gubbiotti, G.

AU - Guslienko, K.

AU - Haldar, A.

AU - Hamdioui, S.

AU - Hertel, R.

AU - Hillebrands, B.

AU - Hioki, T.

AU - Houshang, A.

AU - Hu, C. M.

AU - Huebl, H.

AU - Huth, M.

AU - Iacocca, E.

AU - Jungfleisch, M. B.

AU - Kakazei, G. N.

AU - Khitun, A.

AU - Khymyn, R.

AU - Kikkawa, T.

AU - Klaui, M.

AU - Klein, O.

AU - Klos, J. W.

AU - Knauer, S.

AU - Koraltan, S.

AU - Kostylev, M.

AU - Krawczyk, M.

AU - Krivorotov, I. N.

AU - Kruglyak, V. V.

AU - Lachance-Quirion, D.

AU - Ladak, S.

AU - Lebrun, R.

AU - Li, Y.

AU - Lindner, M.

AU - Macedo, R.

AU - Mayr, S.

AU - Melkov, G. A.

AU - Mieszczak, S.

AU - Nakamura, Y.

AU - Nembach, H. T.

AU - Nikitin, A. A.

AU - Nikitov, S. A.

AU - Novosad, V.

AU - Otalora, J. A.

AU - Otani, Y.

AU - Papp, A.

AU - Pigeau, B.

AU - Pirro, P.

AU - Porod, W.

AU - Porrati, F.

AU - Qin, H.

AU - Rana, B.

AU - Reimann, T.

AU - Riente, F.

AU - Romero-Isart, O.

AU - Ross, A.

AU - Sadovnikov, A. V.

AU - Safin, A. R.

AU - Saitoh, E.

AU - Schmidt, G.

AU - Schultheiss, H.

AU - Schultheiss, K.

AU - Serga, A. A.

AU - Sharma, S.

AU - Shaw, J. M.

AU - Suess, D.

AU - Surzhenko, O.

AU - Szulc, K.

AU - Taniguchi, T.

AU - Urbanek, M.

AU - Usami, K.

AU - Ustinov, A. B.

AU - Van der Sar, T.

AU - Van Dijken, S.

AU - Vasyuchka, V. I.

AU - Verba, R.

AU - Viola Kusminskiy, S.

AU - Wang, Q.

AU - Weides, M.

AU - Weiler, M.

AU - Wintz, S.

AU - Wolski, S. P.

AU - Zhang, X.

N1 - Publisher Copyright: Author

PY - 2022/6/1

Y1 - 2022/6/1

N2 - 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.

AB - 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.

KW - computing

KW - data processing

KW - Logic gates

KW - Magnetic domains

KW - magnon

KW - magnonics

KW - Magnonics

KW - Nanoscale devices

KW - Physics

KW - Quantum computing

KW - Spin wave

KW - Three-dimensional displays

UR - http://www.scopus.com/inward/record.url?scp=85124736337&partnerID=8YFLogxK

U2 - 10.1109/TMAG.2022.3149664

DO - 10.1109/TMAG.2022.3149664

M3 - Article

AN - SCOPUS:85124736337

VL - 58

JO - Institute of Electrical and Electronics Engineers Transactions on Magnetics

JF - Institute of Electrical and Electronics Engineers Transactions on Magnetics

SN - 0018-9464

IS - 6

M1 - 0800172

ER -

Roadmap on Spin-Wave Computing

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