In this section
@inproceedings{Li:2024:10.1364/quantum.2024.qm2a.4,
author = {Li, Z and Kendall, MJH and Zhu, R and Mer, E and Yu, S and Walmsley, IA and Patel, RB},
doi = {10.1364/quantum.2024.qm2a.4},
title = {High-Rate Photon-Number Resolved Detection with Transition-Edge Sensors Enabled by Machine Learning},
url = {http://dx.doi.org/10.1364/quantum.2024.qm2a.4},
year = {2024}
}
TY - CPAPER
AB - 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.
AU - Li,Z
AU - Kendall,MJH
AU - Zhu,R
AU - Mer,E
AU - Yu,S
AU - Walmsley,IA
AU - Patel,RB
DO - 10.1364/quantum.2024.qm2a.4
PY - 2024///
TI - High-Rate Photon-Number Resolved Detection with Transition-Edge Sensors Enabled by Machine Learning
UR - http://dx.doi.org/10.1364/quantum.2024.qm2a.4
ER -