Bhubaneswar: An international team of scientists, including researchers from Indian Institute of Technology (IIT) Bhubaneswar, has achieved a landmark breakthrough demonstrating the world’s largest synchronised network of more than 100,000 nanoscale spintronic oscillators — tiny magnetic devices that can work together like a perfectly coordinated orchestra.
The research paper, titled ‘Nanosecond Phase Ordering in Ultra-large Spin Hall Nano-oscillator Lattices for Unconventional Computing’, has been published in Nature Nanotechnology, a leading journal in nanoscience and nanotechnology.
The research was carried out through a collaboration involving IIT Bhubaneswar, University of Gothenburg (Sweden) and Tohoku University (Japan).
Dr Nilamani Behera, Assistant Professor in Department of Physics at IIT Bhubaneswar, is one of the lead authors of the study.
“The demand for computing power is growing rapidly, especially with the rise of artificial intelligence. Our work demonstrates that very large networks of nanoscale magnetic devices can naturally synchronise in just a few billionths of a second. This opens exciting possibilities for developing future computing technologies that are both faster and far more energy-efficient,” said Dr Behera.
Unlike conventional computer chips that process information sequentially, these miniature devices synchronise naturally with one another within only 45 billionths of a second (45 nanoseconds). They can process information extremely quickly while consuming far less energy than today’s electronic technologies.
It marks a giant leap in the development of next-generation computing hardware, with the synchronised network being nearly 1,000 times larger than previously demonstrated coherent spintronic systems, proving that such technology can be scaled up for practical applications.
The technology is at the research stage, but it has the potential to transform many areas of everyday life. Future applications may include — (i) Faster and energy-efficient artificial intelligence (AI); (ii) Smarter communication networks; (iii) Real-time data analysis; (iv) Financial modelling and optimisation; (v) Intelligent transportation systems; (vi) Scientific simulations that require enormous computing power.
