Orbital Angular Momentum
Orbital angular momentum (OAM) of light, a property describing the twisting of a light beam, is being actively researched for its potential to significantly increase data transmission capacity in optical communication and enhance quantum technologies. Current research focuses on developing robust and efficient methods for generating, detecting, and manipulating OAM states, often employing machine learning techniques like deep neural networks and support vector machines to improve accuracy and robustness against noise and misalignment. These advancements are crucial for realizing practical applications in high-dimensional quantum information processing and high-capacity wireless communication systems.
Papers
Identification of diffracted vortex beams at different propagation distances using deep learning
Heng Lv, Yan Guo, Zi-Xiang Yang, Chunling Ding, Wu-Hao Cai, Chenglong You, Rui-Bo Jin
Polarized deep diffractive neural network for classification, generation, multiplexing and de-multiplexing of orbital angular momentum modes
Jiaqi Zhang, Zhiyuan Ye, Jianhua Yin, Liying Lang, Shuming Jiao