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Structured light with customized complex topological pattern inspires diverseclassical and quantum investigations underpinned by accurate detectiontechniques. However, the current detection schemes are limited to vortex beamwith simple phase singularity. The precise recognition of general structuredlight with multiple singularities remains elusive. Here, we report a deeplearning (DL) framework that can unveil multi-singularity phase structures inan end-to-end manner after feeding only two intensity patterns upon beampropagation captured via a camera, thus unleashing intuitive information oftwisted photons. The DL toolbox can also acquire phases of Laguerre-Gaussian(LG) modes with single singularity and other general phase objects likewise.Leveraging this DL platform, a phase-based optical secret sharing (OSS)protocol is proposed, which is based on a more general class ofmulti-singularity modes than conventional LG beams. The OSS protocol featuresstrong security, wealthy state space and convenient intensity-basedmeasurements. This study opens new avenues for vortex beam communications,laser mode analysis, microscopy, Bose-Einstein condensates characterization,etc.

Deep-learning-based recognition of multi-singularity structured light