A comparison between quantum and classical noise radar sources

Robert Jonsson, Roberto Di Candia, Martin Ankel, Anders Strom, Goran Johansson

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

15 Citations (Scopus)
172 Downloads (Pure)


We compare the performance of a quantum radar based on two-mode squeezed states with a classical radar system based on correlated thermal noise. With a constraint of equal number of photons NS transmitted to probe the environment, we find that the quantum setup exhibits an advantage with respect to its classical counterpart of √2 in the cross-mode correlations. Amplification of the signal and the idler is considered at different stages of the protocol, showing that no quantum advantage is achievable when a large-enough gain is applied, even when quantum-limited amplifiers are available. We also characterize the minimal type-II error probability decay, given a constraint on the type-I error probability, and find that the optimal decay rate of the type-II error probability in the quantum setup is ln(1 + 1/N S) larger than the optimal classical setup, in the NS« 1 regime. In addition, we consider the Receiver Operating Characteristic (ROC) curves for the scenario when the idler and the received signal are measured separately, showing that no quantum advantage is present in this case. Our work characterizes the trade-off between quantum correlations and noise in quantum radar systems.

Original languageEnglish
Title of host publication2020 IEEE Radar Conference, RadarConf 2020
Number of pages6
ISBN (Electronic)9781728189420
Publication statusPublished - 21 Sept 2020
MoE publication typeA4 Conference publication
EventIEEE Radar Conference - Florence, Italy
Duration: 21 Sept 202025 Sept 2020

Publication series

NameIEEE Radar Conference
ISSN (Print)1097-5659
ISSN (Electronic)2375-5318


ConferenceIEEE Radar Conference
Abbreviated titleRadarCon


Dive into the research topics of 'A comparison between quantum and classical noise radar sources'. Together they form a unique fingerprint.

Cite this