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Proceedings Paper

Compressive quantum sensing
Author(s): Gregory A. Howland; James Schneeloch; Daniel J. Lum; John C. Howell
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Paper Abstract

We report on several experiments that employ compressive sensing in low light level photon-counting environments or for measuring quantum signals. . The first experiment uses compressive sensing to show that one can acquire high fidelity images and their Fourier transforms with the same measured photons with only minimal degradation to either. Second, we demonstrate a compressed sensing, photon-counting lidar system based on the single-pixel camera. Our technique recovers both depth and intensity maps from a single under-sampled set of incoherent, linear projections of a scene of interest at ultra-low light levels around 0:5 picowatts. Only two-dimensional reconstructions are required to image a three-dimensional scene. We demonstrate intensity imaging and depth mapping at 256 x 256 pixel transverse resolution with acquisition times as short as 3 seconds. We also show novelty filtering, reconstructing only the difference between two instances of a scene and we acquire 32 x 32 pixel real-time video for three-dimensional object tracking at 14 frames-per-second. The third experiment, shows that compressive sensing can be used to rapidly acquire ultra-high dimensional transverse entanglement joint probability distributions with sufficient fidelity to vioate an EPR steering inequality

Paper Details

Date Published:
PDF: 20 pages
Proc. SPIE 9484, Compressive Sensing IV, 94840J; doi: 10.1117/12.2087613
Show Author Affiliations
Gregory A. Howland, Univ. of Rochester (United States)
James Schneeloch, Univ. of Rochester (United States)
Daniel J. Lum, Univ. of Rochester (United States)
John C. Howell, Univ. of Rochester (United States)


Published in SPIE Proceedings Vol. 9484:
Compressive Sensing IV
Fauzia Ahmad, Editor(s)

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