Quantum parametric mode sorting for remote sensing and imaging

Yuping Huang

doi:10.1117/12.2586649

5 March 2021 Quantum parametric mode sorting for remote sensing and imaging

Yuping Huang

Proceedings Volume 11700, Optical and Quantum Sensing and Precision Metrology; 117003F (2021) https://doi.org/10.1117/12.2586649
Event: SPIE OPTO, 2021, Online Only

Abstract

Detection signal to noise ratio lies at the heart of any remote sensing task. Matched filters have long been deployed as the optimal devices for radio and microwave receiving. However, their implements in the optics domain are challenging due to a much higher bandwidth and the intensity-only measurement by incoherent detectors. For applications involving high noise and low signal, their utilities are overly restricted by a fundamental trade-off between the signal detection efficiency and noise rejection. In this talk, I will describe a nascent approach, quantum parametric mode sorting, to addressing these practical and fundamental challenges. It is realized via quantum frequency conversion at the phase matching edge, where the signal distillation, picosecond timing tagging, and wavelength transduction are accomplished during a single pass through a nonlinear waveguide or crystal. I will report our experimental progress on using it a variety of single photon sensing and imaging tasks.

Conference Presentation

Citation Download Citation

Yuping Huang "Quantum parametric mode sorting for remote sensing and imaging", Proc. SPIE 11700, Optical and Quantum Sensing and Precision Metrology, 117003F (5 March 2021); https://doi.org/10.1117/12.2586649

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