Diffractive Processor

Diffractive processors leverage the principles of diffraction to perform all-optical computations, aiming to achieve faster and more energy-efficient processing than traditional electronic methods. Current research heavily utilizes deep learning to design and optimize these processors, focusing on architectures that enable complex tasks like quantitative phase imaging, multiplane imaging, and complex field imaging, often employing wavelength or polarization multiplexing for increased throughput. This technology holds significant promise for applications in various fields, including biomedical imaging, telecommunications, and information security, by offering compact, high-speed, and potentially low-power solutions for complex computational problems.