Experimental Progress using Quantum Binary Waveforms and Immediate Idler Detection Techniques for Remote Sensing

Matthew J. Brandsema, Leslie A. Ross, Sky Semone, Nikhil Kalyanapuram, Christos Argyropoulos, Sahin K. Ozdemir

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Two current hurdles of quantum RADAR/LiDAR technology are i.) The use of joint measurement techniques, whereby the idler remains in a delay line or a quantum memory to be measured later with the returning signal, and ii.) The difficulty in creating high photon flux signals for long range sensing. Our measurement and detection protocol using immediate-idler-detection (IID) helps to alleviate both of these issues. We present our recent experimental data from characterizing our proof-of-concept IID quantum LiDAR system and show that similar to delay line approaches, we achieve strong correlation even in extremely noisy channels where the noise level exceeds the signal strength by as much as one hundred times. We have found that even in very lossy channels, the integration time remains extremely short and roughly the same value even as the noise is increased. We also show preliminary results through foggy free space channels and found positive correlation SNR even when the visibility was as low as 15%. Our measurement and detection protocol was designed to align closely with classical RADAR and LiDAR signal processing to better align the quantum and classical sensor regimes and allows for the potential to scale upwards and produce higher photon-flux signals from multiple photon pair sources.

Original languageEnglish (US)
Title of host publicationRadar Sensor Technology XXVIII
EditorsAbigail S. Hedden, Gregory J. Mazzaro
PublisherSPIE
ISBN (Electronic)9781510674141
DOIs
StatePublished - 2024
EventRadar Sensor Technology XXVIII 2024 - National Harbor, United States
Duration: Apr 22 2024Apr 24 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13048
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceRadar Sensor Technology XXVIII 2024
Country/TerritoryUnited States
CityNational Harbor
Period4/22/244/24/24

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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