首页|High-Resolution Recognition of Orbital Angular Momentum Modes in Asymmetric Bessel Beams Assisted by Deep Learning
High-Resolution Recognition of Orbital Angular Momentum Modes in Asymmetric Bessel Beams Assisted by Deep Learning
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Fractional orbital angular momentum(OAM)vortex beams present a promising way to increase the data throughput in optical communication systems.Nevertheless,high-precision recognition of fractional OAM with different propagation distances remains a significant challenge.We develop a convolutional neural network(CNN)method to realize high-resolution recognition of OAM modalities,leveraging asymmetric Bessel beams imbued with fractional OAM.Experimental results prove that our method achieves a recognition accuracy exceeding 94.3％for OAM modes,with an interval of 0.05,and maintains a high recognition accuracy above 92％across varying propagation distances.The findings of our research will be poised to significantly contribute to the deployment of fractional OAM beams within the domain of optical communications.
徐鹏飞、童鑫、曾子帅、刘书悉、赵道木
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Zhejiang Key Laboratory of Micro-nano Quantum Chips and Quantum Control,School of Physics,Zhejiang University,Hangzhou 310058,China
National Natural Science Foundation of ChinaNational Natural Science Foundation of China
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