Noise Aware Design Enables Robust Diffractive Deep Neural Network Designs in Visible Wavelengths

Diffractive deep neural networks (D2NNs) are prone to various fabrication errors. Our work shows that including these errors as noise sources in training, ensures the proper functioning and increases the robustness of the fabricated D2NNs.