Superconducting microstrip single-photon detector with system detection efficiency over 90% at 1550 nm
Guang-Zhao Xu, Wei-Jun Zhang, Li-Xing You, Jia-Min Xiong, Xing-Qu Sun,, Hao Huang, Xin Ou, Yi-Ming Pan, Chao-Lin Lv, Hao Li, Zhen Wang, and Xiao-Ming, Xie

TL;DR
This paper presents a superconducting microstrip single-photon detector with over 90% efficiency at 1550 nm, demonstrating high performance and practical advantages over traditional SNSPDs, including high efficiency, low jitter, and operation at higher temperatures.
Contribution
The study introduces a NbN SMSPD with high detection efficiency, low dark counts, and polarization sensitivity, advancing the development of practical, large-area superconducting single-photon detectors.
Findings
Saturated system detection efficiency of ~92.2% at 1550 nm
Minimum timing jitter of ~48 ps
Over 70% efficiency at 2.1 K operation
Abstract
Generally, a superconducting nanowire single-photon detector (SNSPD) is composed of wires with a typical width of ~100 nm. Recent studies have found that superconducting strips with a micrometer-scale width can also detect single photons. Compared with the SNSPD, the superconducting microstrip single-photon detector (SMSPD) has smaller kinetic inductance, higher working current, and lower requirement in fabrication accuracy, providing potential applications in the development of ultra-large active area detectors. However, the study on SMSPD is still in its infancy, and the realization of its high-performance and practical use remains an opening question. This study demonstrates a NbN SMSPD with a saturated system detection efficiency (SDE) of ~92.2% at a dark count rate of ~200 cps, a polarization sensitivity of ~1.03, and a minimum timing jitter of ~48 ps, at the telecom wavelength of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
