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AKjDPG: Arbeitskreis junge DPG

AKjDPG 4: PhD Focus Session: Symposium on "Magnetism – A Potential Platform for Big Data?" (joint session MA/O/AKjDPG)

AKjDPG 4.3: Hauptvortrag

Mittwoch, 18. März 2020, 16:15–16:45, HSZ 04

How good are spin waves for data processing? — •Andrii Chumak — Faculty of Physics, University of Vienna, Boltzmanngasse 5, A-1090 Vienna, Austria — Fachbereich Physik and Landesforschungszentrum OPTIMAS, TU Kaiserslautern, 67663 Kaiserslautern, Germany

Over the last decade, spin waves and their quanta magnons attract attention as data carriers in novel types of data processing units instead of electrons. Among the advantages proposed by spin waves, one can name added value given by the phase of the wave, pronounced nonlinear phenomena, scalability down to nm sizes, GHz to THz frequency range as well as low-loss information transport [1].

Recently, significant progress in the miniaturization of magnonic elements down to 50 nm took place [2, 3]. Moreover, a spin-wave directional coupler was investigated numerically [4] and realized experimentally on the nano-scale [5]. This is a universal unit allowing for the processing of analog RF and binary-coded digital information and is suitable for novel unconventional computing. E.g., the first integrated magnonic circuit in the form of half-adder was studied numerically [6].

Finally, now we are able to determine the parameters of future magnonic devices. The benchmarking of magnonic circuits with respect to 7 nm CMOS will be presented in the talk.

[1] A.V. Chumak, et al., Nat. Phys. 11, 453 (2015). [2] Q. Wang, B. Heinz, et al., Phys. Rev. Lett. 122, 247202 (2019). [3] B. Heinz, et al., arXiv: 1910.08801 (2019). [4] Q. Wang, P. Pirro, et al., Sci. Adv. 4, e1701517 (2018). [5] Q. Wang, M. Kewenig, et al., arXiv: 1902.02855 (2019). [6] Q. Wang, R. Verba, et al., arXiv: 1905.12353 (2019).