Wavelength-Multiplexed Diffractive Optical Processor Computes Hundreds of Linear Transformations in Parallel

Computing using light can potentially provide lower latency and reduced power consumption, benefiting from the parallelism of optical systems. A single optical processor can execute many distinct computational tasks simultaneously, such as the parallel computing of different transformations, which could be valuable for numerous applications, including the acceleration of machine learning-based inference.