Orbital-angular-momentum-encoded diffractive networks for object classification tasks

Deep learning has revolutionized the way we perceive and utilize data. However, as datasets grow and computational demands increase, we need more efficient ways to handle, store, and process data. In this regard, optical computing is seen as the next frontier of computing technology. Rather than using electronic signals, optical computing relies on the properties of light waves, such as wavelength and polarization, to store and process data.