Researchers from the Amoslf Institute from Amsterdam, the University of Pennsylvania and the University of New York developed a nanostructured surface that can solve mathematical equations using light. AMOLF graduate student Andrea Kordaro and his co-authors published their results in Nature Nanotechnology January 12, 2023.
The team created a thin dielectric metaretle and built a translucent mirror into the sample so that the optical signal partially returned to nanostructures, each time multiplying by the scattering matrix of the metaretle.
As a result, scientists managed to achieve the treatment of matrices at a speed much exceeding the speed characteristic of typical methods of digital calculations. The solution converges to the desired result almost instantly – in less than one thousandth of a millionth of a second. This is a few orders of magnitude faster than the clock frequency of a conventional processor.
Optical analog processing differs from traditional analog processing in that it uses light instead of electric current. Due to this, optics can work much faster, since calculations are performed literally at the speed of light reflected from surfaces with a complex nan -sized structure.
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“We demonstrated a powerful result that can be achieved if we apply nanotechnology to analog calculations. This can make the path to hybrid optical -electronic computing schemes,” said Andrea Cordaro’s work.