Opt Lett. 2018 Nov 1;43(21):5263-5266. doi: 10.1364/OL.43.005263.
The Hermite-Gaussian (HG) modes, sometimes referred to as transverse electromagnetic modes in free space, form a complete and orthonormal basis that have been extensively used to describe optical fields. In addition, these modes have been shown to be helpful in enhancing information capacity of optical communications as well as achieving super-resolution imaging in microscopy. Here we propose and present the realization of an efficient, robust mode sorter that can sort a large number of HG modes based on the relation between HG modes and Laguerre-Gaussian (LG) modes. We experimentally demonstrate the sorting of 16 HG modes, and our method can be readily extended to a higher-dimensional state space in a straightforward manner. We expect that our demonstration will have direct applications in a variety of fields including fiber optics, classical and quantum communications, as well as super-resolution imaging.
厄米-高斯（HG）模式，有时也被称为自由空间中的横电磁模式，构成了一个完整的正交归一基，被广泛用于描述光场。此外，这些模式已被证明有助于提高光通信的信息容量，以及在显微镜中实现超分辨率成像。在这里，我们提出并展示了一种高效、鲁棒的模式分类器的实现，该分类器可以根据 HG 模式和拉盖尔-高斯（LG）模式之间的关系对大量 HG 模式进行分类。我们通过实验演示了 16 个 HG 模式的分类，我们的方法可以很容易地以直接的方式扩展到更高维的状态空间。我们预计，我们的演示将在光纤、经典和量子通信以及超分辨率成像等多个领域具有直接的应用。
