Nanoscale spin waves can boost energy-efficient quantum computing for AI

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The new method, developed by researchers from Lancaster University and Radboud University Nijmegen, could lead to faster, cooler, and more environmentally friendly computers and data storage systems, which could benefit AI.

The new method could lead to the creation of faster, cooler, and more environmentally friendly computers and data storage systems which could benefit AI.Scientists devised a new method to process quantum information which could benefit computing devices while also minimizing the environmental cost.

Now, scientists have discovered a way to control these spin waves using very short bursts of light, allowing them to manipulate the waves precisely. This could lead to the creation of faster, cooler, and more environmentally friendly computers and data storage systems, essential for future technologies like artificial intelligence.

“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,” added Mikhaylovskiy. Alluding to the development process first author Ruben Leenders, a former PhD student at Lancaster University explained that in a typical single pulse excitation experiment, the team would simply expect the two spin waves to interfere with each other as any waves do.

 

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New study is step towards energy-efficient quantum computing in magnetsResearchers from Lancaster University and Radboud University Nijmegen have managed to generate propagating spin waves at the nanoscale and discovered a novel pathway to modulate and amplify them.
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