Spatially incoherent diffractive optical processors can handle data beyond non-negative values, potentially making them valuable in diverse scenarios, such as visual encryption and autonomous vehicle ...

Terahertz (THz) communication has emerged as one of the key technologies for sixth-generation (6G) wireless networks.

To address this issue, Scientist in China showcases the use of deep diffractive neural networks (D2NNs) to construct a series of high-dimensional quantum gates, which are encoded by the spatial modes ...

The advent of deep neural networks (DNNs) has ushered in a paradigm shift, enabling the development of non-iterative, feed-forward digital image denoising approaches. These DNN-based methods exhibit ...

Layered metasurfaces trained as optical neural networks enable multifunctional holograms and security features, integrating neural computation principles with nanostructured optics to create a ...

They revealed that simpler-to-implement phase encoding matches the accuracy of data repetition strategies across various test datasets. While data repetition-based diffractive blocks cannot provide ...

State-of-the-art neural networks depend on linear operations, such as matrix-vector multiplications and convolutions. While dedicated processors like GPUs and TPUs exist for these operations, they ...