Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Civil War Book Review

Imaging Quantum Spatial Modes

Charris Gabaldon, Pratik J. Barge, Savannah L. Cuozzo, Lior Cohen, Hwang Lee, Irina V. Novikova, Eugeniy E. Mikhailov

Published Jan 1, 2024• 0 citations
Publisher

Abstract

We expand on classical single pixel camera methods using a set of structured spatial masks to image quantum field spatial modes in a combination of a single squeezed and thermal mode via quadrature homodyne measurements.
DOI
10.1364/cleo_at.2024.jw2a.107

Related papers

Imaging the Invisible (Quantum Fluctuations)

Charris Gabaldon, Pratik J. Barge, Hwang Lee +3 more

We extract spatial and squeezed quantum information from a mixture of individual squeezed modes where the decomposition of covariance matrices are measured with single pixel imaging and homodyning techniques.

Frontiers in Optics•Jan 1, 2024•0 citations

Quantum fluctuations spatial mode profiler

Charris Gabaldon, Pratik J. Barge, Savannah L. Cuozzo +4 more

The spatial mode is an essential component of an electromagnetic field description, yet it is challenging to characterize it for optical fields with the low average photon number, such as in a squeezed vacuum. We present a method for the reconstruction of the spatial modes of such fields based on the homodyne measurements of their quadrature noise variance performed with a set of structured masks. We show theoretically that under certain conditions, we can recover individual spatial mode distributions by using the weighted sum of the basis masks, where weights are determined using measured variance values and phases. We apply this approach to analyze the spatial structure of a squeezed vacuum field with various amount of excess thermal noise generated in Rb vapor.

arXiv:2306.06181•AVS Quantum Science•Jun 1, 2023•2 citations

Towards quantum imaging with multi-spatial mode quantum-correlated twin-beams

Jeremy Clark, Andrew M. Lance, Neil Corzo +3 more

Bulletin of the American Physical Society•May 28, 2010•0 citations

Toward real-time quantum imaging with a single pixel camera

Benjamin J. Lawrie, Raphael C. Pooser

We present a workbench for the study of real-time quantum imaging by measuring the frame-by-frame quantum noise reduction of multi-spatial-mode twin beams generated by four wave mixing in Rb vapor. Exploiting the multiple spatial modes of this squeezed light source, we utilize spatial light modulators to selectively pass macropixels of quantum correlated modes from each of the twin beams to a high quantum efficiency balanced detector. In low-light-level imaging applications, the ability to measure the quantum correlations between individual spatial modes and macropixels of spatial modes with a single pixel camera will facilitate compressive quantum imaging with sensitivity below the photon shot noise limit.

arXiv:1303.3906•Optics Express•Mar 19, 2013•41 citations

Quantum Ghost Imaging by Sparse Spatial Mode Reconstruction

Fazilah Nothlawala, Chané Moodley, Neelan Gounden +2 more

Abstract In a conventional quantum imaging experiment, the image of the object is retrieved directly with single photon camera technology, or computationally with a single‐pixel detector and pixelated projective masks. In all these approaches, the resolution of the image is dictated by the pixel resolution of the detection devices. In this paper, the traditional spatial basis of pixels is replaced with spatial modes, exploiting their unique features to enhance image fidelity and resolution and improve reconstruction accuracy through modal sparsity. This approach can be used even when the modes are not orthogonal, demonstrating the principle with highly efficient phase‐only approximations to the modal basis. By numerical simulation and experimental analysis, the advantages of this approach are illustrated, which include faster convergence to the object, with higher signals and fidelity, which are demonstrated with an order of magnitude less masks than conventional approaches for the same fidelity in outcome. Unlike the basis of pixels, the resolution of the image is not dictated by the resolution of the detectors, opening a path to high‐resolution quantum imaging of complex objects.

Advanced Quantum Technologies•Jan 6, 2025•7 citations

Spatial-multimode squeezed states of light and the quantum noise of optical images

Mikhail I. Kolobov, I. V. Sokolov

IzSSR•Dec 1, 1990•0 citations
The spatial mode is an essential component of an electromagnetic field description, yet it is challenging to characterize it for optical fields with the low average photon number, such as in a squeezed vacuum. We present a method for the reconstruction of the spatial modes of such fields based on the homodyne measurements of their quadrature noise variance performed with a set of structured masks. We show theoretically that under certain conditions, we can recover individual spatial mode distributions by using the weighted sum of the basis masks, where weights are determined using measured variance values and phases. We apply this approach to analyze the spatial structure of a squeezed vacuum field with various amount of excess thermal noise generated in Rb vapor.
We present a workbench for the study of real-time quantum imaging by measuring the frame-by-frame quantum noise reduction of multi-spatial-mode twin beams generated by four wave mixing in Rb vapor. Exploiting the multiple spatial modes of this squeezed light source, we utilize spatial light modulators to selectively pass macropixels of quantum correlated modes from each of the twin beams to a high quantum efficiency balanced detector. In low-light-level imaging applications, the ability to measure the quantum correlations between individual spatial modes and macropixels of spatial modes with a single pixel camera will facilitate compressive quantum imaging with sensitivity below the photon shot noise limit.
Abstract In a conventional quantum imaging experiment, the image of the object is retrieved directly with single photon camera technology, or computationally with a single‐pixel detector and pixelated projective masks. In all these approaches, the resolution of the image is dictated by the pixel resolution of the detection devices. In this paper, the traditional spatial basis of pixels is replaced with spatial modes, exploiting their unique features to enhance image fidelity and resolution and improve reconstruction accuracy through modal sparsity. This approach can be used even when the modes are not orthogonal, demonstrating the principle with highly efficient phase‐only approximations to the modal basis. By numerical simulation and experimental analysis, the advantages of this approach are illustrated, which include faster convergence to the object, with higher signals and fidelity, which are demonstrated with an order of magnitude less masks than conventional approaches for the same fidelity in outcome. Unlike the basis of pixels, the resolution of the image is not dictated by the resolution of the detectors, opening a path to high‐resolution quantum imaging of complex objects.