基于压缩感知的快速纠缠光量子成像方法

纠缠光量子成像效率主要受数字微镜器件(DMD)采样时间开销的影响，现有的DMD采样方式是对所有像素点进行逐点扫描，从而导致成像效率较低。针对这一问题，利用纠缠光的时间和空间关联特性，通过压缩感知算法对参考光进行稀疏采样，同时利用正交匹配追踪算法(OMP)从符合计数结果中得到目标图像。此外，还分析了不同捆绑像素数、DMD采样分块大小和图像稀疏度对成像质量和效率的影响，并通过搭建实际的纠缠光量子成像系统验证了所提方法的有效性。

Fast entangled optical quantum imaging method based on compressed sensing

The entangled optical quantum imaging efficiency is mainly affected by the sampling time cost of the digital micromirror device (DMD). The existing DMD sampling methods are to scan all pixels point by point, which result in the low imaging efficiency. To address this problem, this article uses the compressed sensing algorithm to sparsely sample the reference light based on the temporal and spatial correlation properties of the entangled light, and also uses the orthogonal matching pursuit (OMP) algorithm to obtain the target image from the coincidence counting result. In addition, this article analyzes the impact of different number of bundled pixels, DMD sampling block size, and image sparsity on imaging quality and efficiency. The effectiveness of the proposed method is evaluated by establishing an actual entangled optical quantum imaging system.