Exploiting optical degrees of freedom for information multiplexing in diffractive neural networks
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 paralle...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer Nature
2022
|
Subjects: | |
Online Access: | View Fulltext in Publisher |