Multiphoton Quantum Imaging using Natural Light
Fatemeh Mostafavi, Mingyuan Hong, Riley B. Dawkins, Jannatul Ferdous,, Rui-Bo Jin, Roberto de J. Leon-Montiel, Chenglong You, Omar S., Magana-Loaiza

TL;DR
This paper introduces a quantum imaging method using natural thermal light sources and conditional photon detection, achieving enhanced image contrast and robustness against environmental noise, demonstrated with a photon-number-resolving camera.
Contribution
It presents a novel quantum imaging scheme that leverages natural light and conditional detection to improve image quality, overcoming limitations of traditional quantum sources.
Findings
Exponential enhancement in image contrast achieved.
Quantum images produced from vacuum fluctuations.
Implementation demonstrated with a photon-number-resolving camera.
Abstract
It is thought that schemes for quantum imaging are fragile against realistic environments in which the background noise is often stronger than the nonclassical signal of the imaging photons. Unfortunately, it is unfeasible to produce brighter quantum light sources to alleviate this problem. Here, we overcome this paradigmatic limitation by developing a quantum imaging scheme that relies on the use of natural sources of light. This is achieved by performing conditional detection on the photon number of the thermal light field scattered by a remote object. Specifically, the conditional measurements in our scheme enable us to extract quantum features of the detected thermal photons to produce quantum images with improved signal-to-noise ratios. This technique shows a remarkable exponential enhancement in the contrast of quantum images. Surprisingly, this measurement scheme enables the…
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Taxonomy
TopicsAdvanced Fluorescence Microscopy Techniques
