Artificial neural networks, layers of interconnected artificial neurons, are of great interest in machine learning tasks such as speech recognition and medical diagnosis. Actually, electronic computing hardware is nearing the limit of its capabilities, yet the demand for greater computing power is constantly growing. Researchers turned themselves to the photonic processor instead of the electronic processor to carry information at the speed of light.
In fact, not only photonic processor can process information much faster than electrons, but they are the basis of the current Internet, where it is important to avoid the so-called electronic bottleneck (conversion of an optical signal into an electronic signal, and vice versa).
The proposed optical neural network is capable of recognizing and processing large-scale data and images at ultra-high computing speeds, beyond ten trillion operations per second. An optical frequency comb, a light source comprised of many equally spaced frequency modes, was integrated into a computer chip and used as a power-efficient source for optical computing.