Author:
Li Zhenghao,Kendall Matthew J.H.,Zhu Ruidi,Mer Ewan,Yu Shang,Walmsley Ian A.,Patel Raj B.
Abstract
We report a machine-learning-based algorithm that allows transition-edge sensors to distinguish photon number traces at a repetition rate that overcomes their slow recovery time. Detector tomography is performed to benchmark the algorithm’s performance.