Matrix Diffractive Deep Neural Networks Merging Polarization into Meta‐Devices (Laser Photonics Rev. 18(2)/2024)
Yuzhong Wang, Axiang Yu, Yayun Cheng, Jiaran Qi
Abstract
Matrix Diffractive Deep Neural Networks In article number 2300903, Yuzhong Wang, Axiang Yu, Yayun Cheng, and Jiaran Qi propose the Matrix Diffractive Deep Neural Networks, a general framework effectively merging polarization into meta-devices. Advanced polarization-loaded meta-devices are demonstrated with exceptional functionality and high capacity, including optoelectronic classifier, Jones Matrix full parameter modulator, and custom-polarization encryptors. This work provides a new paradigm enabling advanced cascaded spatial light/wave modulators, which further drives the evolution of meta-devices toward superior functionality, multi-task integration, and design scalability.
Topics & Concepts
PhotonicsPolarization (electrochemistry)LaserArtificial neural networkMaterials scienceOptoelectronicsOpticsPhysicsComputer scienceArtificial intelligenceChemistryPhysical chemistryNeural Networks and Reservoir ComputingPhotonic and Optical DevicesSemiconductor Lasers and Optical Devices