论文标题
同时对120模式的矢量涡流梁排序
Simultaneously sorting vector vortex beams of 120 modes
论文作者
论文摘要
极化（P），角度指数（L）和半径指数（P）是三个独立的自由度（DOF）的矢量涡流束，已广泛用于光学通信，量子光学，信息处理等。在这里，我们建议使用衍射的深神经网络（D $^2 $ nn）同时处理所有这三个DOF，并在实验上证明了仅使用一种紧凑的D $^2 $ NN组成的120 Laguerre-Gaussian（lg）模式的强大分类，仅由一个空间光调节镜和One One Moildator和One One One Moildator形成。拟议的束分落器展示了D $^2 $ nn在光场操作中的巨大潜力，并将受益于矢量涡流梁的各种应用。
Polarization (P), angular index (l), and radius index (p) are three independent degrees of freedom (DoFs) of vector vortex beams, which have been widely used in optical communications, quantum optics, information processing, etc. Although the sorting of one DoF can be achieved efficiently, it is still a great challenge to sort all these DoFs simultaneously in a compact and efficient way. Here, we propose a beam sorter to deal with all these three DoFs simultaneously by using a diffractive deep neural network (D$^2$NN) and experimentally demonstrated the robust sorting of 120 Laguerre-Gaussian (LG) modes using a compact D$^2$NN formed by one spatial light modulator and one mirror only. The proposed beam sorter demonstrates the great potential of D$^2$NN in optical field manipulation and will benefit the diverse applications of vector vortex beams.
