Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > OFC > 2021 > Tu5E > Tu5E.4

Photon-Counting LIDAR Based on a Fractal SNSPD

Nan Hu, Yifan Feng, Liang Xu, Yun Meng, Kai Zou, Samuel Gyger, Stephan Steinhauer, Val Zwiller, and Xiaolong Hu

Not Accessible

Your library or personal account may give you access

Abstract

We report on a photon-counting LIDAR system based on a polarization- insensitive fractal SNSPD with high detection efficiency and high timing resolution, and showcase depth imaging of an object at 1560 nm with millimeter depth resolution. © 2021 The Author(s)

© 2021 The Author(s)

PDF Article  |   Presentation Video
More Like This
Fractal Superconducting Nanowire Avalanche Photodetectors with 84% System Efficiency at 1600 nm, 1.02 Polarization Sensitivity, and 29 ps Timing Resolution

Yun Meng, Kai Zou, Nan Hu, Liang Xu, Xiaojian Lan, Stephan Steinhauer, Samuel Gyger, Val Zwiller, and Xiaolong Hu
AM1S.2 CLEO: Applications and Technology (CLEO:A&T) 2021

Polarimetric Imaging Using One Fractal SNSPD

Nan Hu, Yun Meng, Kai Zou, Yifan Feng, Zifan Hao, Stephan Steinhauer, Samuel Gyger, Val Zwiller, and Xiaolong Hu
SM1D.1 CLEO: Science and Innovations (CLEO:S&I) 2022

Impedance-matched differential SNSPDs for practical photon counting with sub-10 ps timing jitter

Marco Colangelo, Andrew Beyer, Boris Korzh, Jason P. Allmaras, Andrew Mueller, Ryan M. Briggs, Bruce Bumble, Marcus Runyan, Martin J. Stevens, Adam McCaughan, Di Zhu, Steve Smith, Wolfgang Becker, Lautaro Narváez, Joshua C. Bienfang, Simone Frasca, Angel E. Velasco, Edward Ramirez, Alexander Walter, Ekkehart Schmidt, Emma E. Wollman, Cristián Peña, Maria Spiropulu, Richard P. Mirin, Sae Woo Nam, Karl K. Berggren, and Matthew D. Shaw
FW2P.1 CLEO: QELS_Fundamental Science (CLEO:FS) 2021

View More...

Presentation Video

Presentation video access is available to:

  1. Optica Publishing Group subscribers
  2. Technical meeting attendees
  3. Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads

More Like This
Fractal Superconducting Nanowire Avalanche Photodetectors with 84% System Efficiency at 1600 nm, 1.02 Polarization Sensitivity, and 29 ps Timing Resolution

Yun Meng, Kai Zou, Nan Hu, Liang Xu, Xiaojian Lan, Stephan Steinhauer, Samuel Gyger, Val Zwiller, and Xiaolong Hu
AM1S.2 CLEO: Applications and Technology (CLEO:A&T) 2021

Polarimetric Imaging Using One Fractal SNSPD

Nan Hu, Yun Meng, Kai Zou, Yifan Feng, Zifan Hao, Stephan Steinhauer, Samuel Gyger, Val Zwiller, and Xiaolong Hu
SM1D.1 CLEO: Science and Innovations (CLEO:S&I) 2022

Impedance-matched differential SNSPDs for practical photon counting with sub-10 ps timing jitter

Marco Colangelo, Andrew Beyer, Boris Korzh, Jason P. Allmaras, Andrew Mueller, Ryan M. Briggs, Bruce Bumble, Marcus Runyan, Martin J. Stevens, Adam McCaughan, Di Zhu, Steve Smith, Wolfgang Becker, Lautaro Narváez, Joshua C. Bienfang, Simone Frasca, Angel E. Velasco, Edward Ramirez, Alexander Walter, Ekkehart Schmidt, Emma E. Wollman, Cristián Peña, Maria Spiropulu, Richard P. Mirin, Sae Woo Nam, Karl K. Berggren, and Matthew D. Shaw
FW2P.1 CLEO: QELS_Fundamental Science (CLEO:FS) 2021

View More...
Fractal Superconducting Nanowire Single-Photon Detectors and Their Applications in Imaging

Yifan Feng, Yun Meng, Kai Zou, Nan Hu, Zifan Hao, Xingyu Cui, Xiangjun Yin, Jingyu Yang, Samuel Gyger, Stephan Steinhauer, Val Zwiller, and Xiaolong Hu
CFA6H_04 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 2022

Fractal superconducting nanowire single-photon detector at 1540 nm with 91% system detection efficiency

Zifan Hao, Kai Zou, Yifan Feng, Yun Meng, Nan Hu, Stephan Steinhauer, Samuel Gyger, Val Zwiller, and Xiaolong Hu
FM2E.6 CLEO: Fundamental Science (CLEO:FS) 2023

Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use