Magnonic computing: Faster spin waves could make novel computing systems possible
- Date:
- August 16, 2023
- Source:
- University of Vienna
- Summary:
- Research is underway around the world to find 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.
- Share:
Research is underway around the world to find 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 journal Science 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.
Story Source:
Materials provided by University of Vienna. Note: Content may be edited for style and length.
Journal Reference:
- 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: