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Inspiring radar from quantum-enhanced lidar

Authors :
Bhashyam Balaji
Han Liu
Amr S. Helmy
Source :
2020 IEEE International Radar Conference (RADAR).
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

The detection of objects under large background conditions is a problem of fundamental interest in sensing. In this talk we theoretically analyze a prototype target detection protocol, the quantum time correlated (QTC) detection protocol, with spontaneous parametric down-converted photon-pair sources. The QTC detection protocol only requires time-resolved photon counting detection, which is phase-insensitive and therefore suitable for optical target detection. As a comparison to the QTC detection protocol we also consider a classical phase-insensitive target detection protocol based on intensity detection. We formulated the target detection problem as a total probe photon transmission estimation problem. We carry out experiments using a semiconductor waveguide source. The experimental results agree very well with the theoretical prediction. In particular, we find that in a high-level environment noise and loss, the QTC detection protocol is able to achieve comparable to the classical protocol target detection performance but with 10–100 fold lower required time on target detection in terms of ROC curve metric. The performance of the QTC detection experiment setup could be further improved with a higher transmission of the reference photon and better detector time uncertainty. Furthermore, unlike classical target detection and ranging protocol, the probe photons in our QTC detection protocol are completely indistinguishable from the background noise and therefore useful for covert ranging applications. Finally, our technological platform is highly scalable and tunable and thus amenable to large scale integration necessary for practical applications.

Details

Database :
OpenAIRE
Journal :
2020 IEEE International Radar Conference (RADAR)
Accession number :
edsair.doi...........998d4363e1ccaedab6367400938d2aa8
Full Text :
https://doi.org/10.1109/radar42522.2020.9114825