This new method can help make computers and data storage systems faster, cooler, and more eco-friendly, which will benefit AI.
Scientists devised a new method to process quantum information which could benefit computing devices while also minimizing the environmental cost.
Scientists have recently found a way by which they can process quantum information to increase the benefit of computing devices while also remarkably cutting environmental costs at the same time. Their approach was to replace the electric current with spin waves, which can not only make the data transfer faster but also make it more eco-friendly at the same time.
The new method uses spin waves, which are tiny magnetic waves, to store and process information instead of using electric currents. These electric currents lose energy and produce heat, but spin waves do not, making the process much more energy-efficient. Researchers from Lancaster University and Radboud University Nijmegen have discovered a way to control these spin waves using concise bursts of light, allowing them to manipulate the waves precisely.
This innovation can make a revolutionary change in the world of computing. This is because the whole procedure is so efficiently created that there seems to be no energy loss. This could lead to significant energy savings, especially in developing advanced quantum information technologies, energy-efficient data centres, and next-generation computing devices that support the growing demands of artificial intelligence.
Hence, this technology contributes to a greener and more sustainable tech ecosystem by reducing heat generation and energy consumption. “Our discovery will be essential for future spin-wave-based computing,” said lead author Dr. Rostislav Mikhaylovskiy. “Spin waves are an appealing information carrier as they don’t involve electric currents and therefore do not suffer from resistive losses.”
The scientists found that spin waves have a special property called nonlinearity. This means that waves with different frequencies and wavelengths can be changed into each other.
The researchers were able to use this property in a real experiment. They did this using two strong laser pulses, with a short delay between them.
Source: Article
First author Ruben Leenders, who used to be a PhD student at Lancaster University, said: “In a normal experiment with just one laser pulse, we would expect the two spin waves to interfere with each other as any waves do. But when we changed the time delay between the two laser pulses, we found that the two waves didn’t interact in the way we expected.”
The team explained what they saw by looking at how the first laser pulse and the second laser pulse interacted with the spin wave. The result of this interaction is that when the spins are already rotating, the second laser pulse gives them an extra push. The strength and direction of this push depend on the state of the spin wave at the time that the second laser pulse arrives. This allows the scientists to control the properties of the spin wave, like its amplitude and phase, by choosing the right time delay between the laser pulses.
The researchers’ experiment is a landmark for spin wave studies, and it has the potential to open an entirely new research direction on ultrafast coherent magnonics. “Observing nonlinear conversion of coherent propagating magnons at the nanoscale, which is a prerequisite for any practical magnon-based data processing, has been sought by many groups worldwide for more than a decade. Therefore, our experiment is a landmark for spin wave studies, which holds the potential to open an entirely new research direction on ultrafast coherent magnonics with an eye on the development of dissipation-free quantum information technologies” said Dr. Mikhaylovskiy.
Thus, this new way of computing is a more greener and sustainable approach and at the same time promotes faster data transfer as well. The researchers’ discovery is a landmark in the field of spin wave studies, and it is likely to spur further research and innovation in this promising area.
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