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Demonstration of quantum-enhanced rangefinding robust against classical jamming

Mateusz P. Mrozowski, Richard J. Murchie, John Jeffers, Jonathan D. Pritchard

2023Optics Express15 citationsDOIOpen Access PDF

Abstract

We demonstrate a quantum-enhanced lidar capable of performing confident target detection and rangefinding in the presence of strong, time-varying classical noise whilst operating with over five orders of magnitude separation between signal and background levels and target reflectivities down to -52 dB. We use a log-likelihood-based framework to introduce a new protocol for dynamic background tracking, verifying resilience of our system to both fast- and slow-modulation jamming in regimes where a classical illumination-based system fails to find a target. These results demonstrate the advantage of exploiting quantum correlations for lidar applications, providing a clear route to implementation in real-world scenarios.

Topics & Concepts

JammingLidarComputer scienceModulation (music)QuantumOpticsNoise (video)Resilience (materials science)PhysicsQuantum mechanicsArtificial intelligenceAcousticsThermodynamicsImage (mathematics)Advanced Optical Sensing TechnologiesQuantum Information and CryptographyQuantum optics and atomic interactions
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