SNSPD Array with Single-Channel Readout Based on Compressive Sensing

• DOI: 10.1021/acsphotonics.2c00864
• Publication Date: 2022-09-12T15:10:37Z
• Authors: Yanqiu Guan; Haochen Li; Labao Zhang; Hao Wang; Guanglong He; Biao Zhang; Yue Fei; Jiayu Lv; Xiao Zhang; Rui Yin; Xiaohan Wang; Xuecou Tu; Qingyuan Zhao; Xiaoqing Jia; Jian Chen; Lin Kang; Peiheng Wu
• Keywords: Silicon Photomultiplier; SIGNAL (programming language); Biasing

Superconducting nanowire single-photon detectors (SNSPDs) play an important role in lidar and quantum information due to their excellent comprehensive performance. However, it is a major challenge read out the SNSPD arrays for high heat load cost of readout circuit cryocooler. Here, we propose single-channel imaging scheme based on compressed sensing (CS), which synergistically samples, combines, reconstructs response signals from all pixels arrays. Based row–column (RC) multiplexing array, sampling each pixel realized by randomly switching bias current rows columns, counts are reconstructed according matrices combined signals. This shifts system complexity end, eliminates need expensive multichannel equipment, enables multiphoton coincidence detection. We demonstrate spot with 16-pixel array find that peak signal-to-noise ratio CS signal 10 dB higher than RC at −100 dBm light intensity 1000 fps.