Optical Computation uses light rather than electrical signals to perform mathematical operations. It leverages properties of photons to achieve high-speed, low-power processing, making it suitable for AI acceleration and signal processing. Devices such as interferometers and microring resonators perform analog computations using optical interference and modulation. NEC Laboratories America explores photonic computing architectures for next-generation machine learning applications. Optical computation offers potential breakthroughs in energy efficiency and parallelism.

Posts

Computation Stability Tracking Using Data Anchors for Fiber Rayleigh-based Nonlinear Random Projection System

We introduce anchor vectors to monitor Rayleigh-backscattering variability in a fiber-optic computing system that performs nonlinear random projection for image classification. With a ~0.4-s calibration interval, system stability can be maintained with a linear decoder, achieving an average accuracy of 80%-90%.