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14 June 2023 Quantum radar: a brief review of current progress and new methods of understanding and signal processing, validated by experimental results
Matthew J. Brandsema, Xavier Szigethy
Author Affiliations +
Abstract
Modern approaches to quantum radar implementation utilize the intrinsic correlations of two-mode squeezed vacuum photon pairs emerging from a nonlinear interaction. The most popular approach has been the use of delay lines for the idler and performing joint measurements on the idler and returning signal together. In this paper, it is argued and shown that this sort of implementation is not necessary to extract the quantum cross correlation terms. Immediate detection of the idler and later cross correlation on a large enough data set will yield identical covariance terms. Moreover, immediate idler detection facilitates the use of conventional radar signal processing which allows existing waveform toolboxes of classical radar to be utilized for quantum radar. This allows a much more relaxed set of constraints on the implementation of quantum radar techniques. This paper discusses these concepts, including new detection techniques from the author, and validates the framework with some preliminary experimental data. The presented data, as well as the recent work of others allows for the possibility of a much larger quantum advantage than previously thought, particularly when comparing to real-world practical classical sensors.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Matthew J. Brandsema and Xavier Szigethy "Quantum radar: a brief review of current progress and new methods of understanding and signal processing, validated by experimental results", Proc. SPIE 12535, Radar Sensor Technology XXVII, 125350C (14 June 2023); https://doi.org/10.1117/12.2663372
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KEYWORDS
Quantum correlations

Quantum signals

Quantum radar

Quantum experiments

Signal detection

Quantum numbers

Signal to noise ratio

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