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Magnonic computing: Faster spin waves could make novel computing systems possible

Date:
August 16, 2023
Source:
University of Vienna
Summary:
世界各地的研究正在寻找alternatives to our current electronic computing technology, as great, electron-based systems have limitations. A new way of transmitting information is emerging from the field of magnonics: instead of electron exchange, the waves generated in magnetic media could be used for transmission, but magnonics-based computing has been (too) slow to date. Scientists have now discovered a significant new method: When the intensity is increased, the spin waves become shorter and faster -- another step towards magnon computing.
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FULL STORY

世界各地的研究正在寻找alternatives to our current electronic computing technology, as great, electron-based systems have limitations. A new way of transmitting information is emerging from the field of magnonics: instead of electron exchange, the waves generated in magnetic media could be used for transmission, but magnonics-based computing has been (too) slow to date. Scientists at the University of Vienna have now discovered a significant new method: When the intensity is increased, the spin waves become shorter and faster -- another step towards magnon computing. The results were published in the journalScience Advances.

Magnonics is a relatively new field of research in magnetism. Spin waves play a central role: A local disturbance in the magnetic order of a magnet can propagate as waves through a material. These waves are called spin waves, and the associated quasiparticles are called magnons. They carry information in the form of angular momentum pulses. Because of this property, they can be used as low-power data carriers in smaller and more energy-efficient computers of the future. The main challenge in magnonics is wavelength. The larger it is, the slower magnon-based data processing units are. Until now, the wavelength could only be shortened with very complex hybrid structures or a synchrotron. The research group "Nanomagnetism and Magnononics" at the University of Vienna, together with colleagues from Germany, the Czech Republic, Ukraine and China, has developed a simpler alternative. First author Qi Wang made the crucial observation after months of work in the Brillouin light scattering spectroscopy laboratory at the University of Vienna's Faculty of Physics: if you increase the intensity, the spin waves become shorter and faster -- a breakthrough method for magnonic computing.

Co-author of the study and leader of the Vienna NanoMag team, Andrii Chumak, explains the discovery with a metaphor: "It is helpful to imagine the method with light. If you change the wavelength of light, its color changes. But if you change the intensity, only the luminosity changes. In this case, we found a way to change the color by changing the intensity of the spin waves. This phenomenon allowed us to excite much shorter and much better spin waves," Chumak said.

The current wavelength found with this system is about 200 nanometers. According to numerical simulations, it would be possible to excite even smaller wavelengths, but at this stage it is very difficult to excite or measure these orders of magnitude.

The amplitudes of the spin waves are also crucial for future magnetic integrated circuits. The discovered system exhibits a self-locking nonlinear shift, which means that the amplitude of the excited spin waves is constant. This property is very relevant for integrated circuits, as it allows different magnetic elements to work together with the same amplitude. This, in turn, is fundamental to the construction of more complex systems and to the realization of the distant goal of a magnon-based computer. The ultimate goal, a fully functional magnon computer, has not yet been achieved. Nevertheless, this solid milestone brings researchers a good deal closer to their goal.

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Materialsprovided byUniversity of Vienna.Note: Content may be edited for style and length.


Journal Reference:

  1. Qi Wang, Roman Verba, Björn Heinz, Michael Schneider, Ondřej Wojewoda, Kristýna Davídková, Khrystyna Levchenko, Carsten Dubs, Norbert J. Mauser, Michal Urbánek, Philipp Pirro, Andrii V. Chumak.Deeply nonlinear excitation of self-normalized short spin waves.Science Advances, 2023; 9 (32) DOI:10.1126/sciadv.adg4609

Cite This Page:

University of Vienna. "Magnonic computing: Faster spin waves could make novel computing systems possible." ScienceDaily. ScienceDaily, 16 August 2023. /releases/2023/08/230816114142.htm>.
University of Vienna. (2023, August 16). Magnonic computing: Faster spin waves could make novel computing systems possible.ScienceDaily. Retrieved August 22, 2023 from www.koonmotors.com/releases/2023/08/230816114142.htm
University of Vienna. "Magnonic computing: Faster spin waves could make novel computing systems possible." ScienceDaily. www.koonmotors.com/releases/2023/08/230816114142.htm (accessed August 22, 2023).

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