In order to build the bridge between the optical and electronic computing, researchers have designed a first of its kind electro-optical device, which will help in achieving faster and better processors.
Computing at the speed of light has been an enticing but elusive prospect, but with this development, it's now intangible proximity. Using light to encode as well as transfer information enables these processes to occur at the ultimate speed limit - that of light.
While as of recently, using light for certain processes has been experimentally demonstrated, a compact device to interface with the electronic architecture of traditional computers has been lacking.
The incompatibility of electrical and light-based computing fundamentally stems from the different interaction volumes that electrons and photons operate in. Electrical chips need to be small to operate efficiently, whereas optical chips need to be large, as the wavelength of light is larger than that of electrons.
To overcome this challenging problem the scientists came up with a solution to confine light into nanoscopic dimensions, as detailed in their paper Plasmonic nanogap enhanced phase-change devices with dual electrical-optical functionality published in -- Science Advances.
In collaboration with researchers at the universities of Munster and Exeter, scientists created a design which allowed them to compress light into a nano-sized volume through what is known as surface plasmon polariton.
The dramatic size reduction in conjunction with the significantly increased energy density is what has allowed them to bridge the apparent incompatibility of photons and electrons for data storage and computation.
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More specifically, it was shown that by sending either electrical or optical signals, the state of a photo- and electro-sensitive material was transformed between two different states of molecular order.
Further, the state of this phase-transforming material was read out by either light or electronics thereby making the device the first electro-optical nanoscale memory cell with non-volatile characteristics.
"This is a very promising path forward in computation and especially in fields where high processing efficiency is needed," stated Nikolaos Farmakidis, graduate student and co-first author.
"This naturally includes artificial intelligence applications wherein many occasions the needs for high-performance, low-power computing far exceeds our current capabilities. It is believed that interfacing light-based photonic computing with its electrical counterpart is the key to the next chapter in CMOS technologies," co-author Nathan Youngblood continued.