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作 者:Jiaxian Zhao Zhifeng Liu Chenghou Tu Yongnan Li Hui-Tian Wang 赵嘉娴;刘志峰;涂成厚;李勇男;王慧田(Key Laboratory of Weak-Light Nonlinear Photonics and School of Physics,Nankai University,Tianjin 300071,China;National Laboratory of Solid State Microstructures,School of Physics,and Collaborative Innovation Center of Advanced Microstructures,Nanjing University,Nanjing 210093,China)
机构地区:[1]Key Laboratory of Weak-Light Nonlinear Photonics and School of Physics,Nankai University,Tianjin 300071,China [2]National Laboratory of Solid State Microstructures,School of Physics,and Collaborative Innovation Center of Advanced Microstructures,Nanjing University,Nanjing 210093,China
出 处:《Chinese Physics Letters》2025年第3期23-28,共6页中国物理快报(英文版)
基 金:supported by the National Natural Science Foundation of China(12234009,12474328,12074196,11922406,and 12074197)。
摘 要:High-dimensional(HD)entanglement of photonic orbital angular momentum(OAM)is pivotal for advancing quantum communication and information processing,but its characterization remains significant challenges due to the complexity of quantum state tomography and experimental limitations such as low photon counts caused by losses.Here,we propose a pre-trained physics-informed neural network(PTPINN)framework that enables efficient and rapid reconstruction of HD-OAM entangled states under low photon counts.Experimental results show that the fidelity of five-dimensional OAM entanglement reaches F=0.958±0.010 even with an exposure time as short as 50 ms.This highlights the capability of PTPINN to achieve high-precision quantum state reconstruction with limited photons,owing to its innovative designs,thus overcoming the reliance on high photon counts typical of traditional methods.Our method provides a practical and scalable solution for high-fidelity characterization of HD-OAM entanglement in environments with low photon numbers and high noise,paving the way for robust long-distance quantum information transmission.
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