96 research outputs found
Efficient high-dimensional entanglement imaging with a compressive sensing, double-pixel camera
We implement a double-pixel, compressive sensing camera to efficiently
characterize, at high resolution, the spatially entangled fields produced by
spontaneous parametric downconversion. This technique leverages sparsity in
spatial correlations between entangled photons to improve acquisition times
over raster-scanning by a scaling factor up to n^2/log(n) for n-dimensional
images. We image at resolutions up to 1024 dimensions per detector and
demonstrate a channel capacity of 8.4 bits per photon. By comparing the
classical mutual information in conjugate bases, we violate an entropic
Einstein-Podolsky-Rosen separability criterion for all measured resolutions.
More broadly, our result indicates compressive sensing can be especially
effective for higher-order measurements on correlated systems.Comment: 10 pages, 7 figure
Roadmap on optical security
Postprint (author's final draft
Digital spiral object identification using random light
Photons that are entangled or correlated in orbital angular momentum have
been extensively used for remote sensing, object identification and imaging. It
has recently been demonstrated that intensity fluctuations give rise to the
formation of correlations in the orbital angular momentum components and
angular positions of random light. Here, we demonstrate that the spatial
signatures and phase information of an object, with rotational symmetries, can
be identified using classical orbital angular momentum correlations in random
light. The Fourier components imprinted in the digital spiral spectrum of the
object, measured through intensity correlations, unveil its spatial and phase
information. Sharing similarities with conventional compressive sensing
protocols that exploit sparsity to reduce the number of measurements required
to reconstruct a signal, our technique allows sensing of an object with fewer
measurements than other schemes that use pixel-by-pixel imaging. One remarkable
advantage of our technique is the fact that it does not require the preparation
of fragile quantum states of light and works at both low- and high-light
levels. In addition, our technique is robust against environmental noise, a
fundamental feature of any realistic scheme for remote sensing.Comment: 5 pages, 4 figure
Efficient High-dimensional Entanglement Imaging with a Compressive-sensing Double-pixel Camera
We implement a double-pixel compressive-sensing camera to efficiently characterize, at high resolution, the spatially entangled fields that are produced by spontaneous parametric down-conversion. This technique leverages sparsity in spatial correlations between entangled photons to improve acquisition times over raster scanning by a scaling factor up to n2/log(n) for n-dimensional images. We image at resolutions up to 1024 dimensions per detector and demonstrate a channel capacity of 8.4 bits per photon. By comparing the entangled photons’ classical mutual information in conjugate bases, we violate an entropic Einstein-Podolsky-Rosen separability criterion for all measured resolutions. More broadly, our result indicates that compressive sensing can be especially effective for higher-order measurements on correlated systems
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