Exploiting optical degrees of freedom for information multiplexing in diffractive neural networks
Chao Zuo, Qian Chen · Light Science & Applications · 2022
Exploiting internal degrees of freedom of light, such as polarization, provides efficient ways to scale the capacity of optical diffractive computing, which may ultimately lead to high-throughput, multifunctional all-optical diffractive processors that can execute a diverse range of tasks in parallel.