Tutorial: Shaping the Spatial Correlations of Entangled Photon Pairs

• URL: http://arxiv.org/abs/2402.07667v1
• Date: Mon, 12 Feb 2024 14:20:33 GMT
• Title: Tutorial: Shaping the Spatial Correlations of Entangled Photon Pairs
• Authors: Patrick Cameron, Baptiste Courme, Daniele Faccio, Hugo Defienne
• Abstract summary: This tutorial describes how the concepts of classical light shaping can be applied to imaging schemes based on entangled photon pairs. We detail two basic experimental configurations in which a spatial light modulator is used to shape the spatial correlations of a photon pair state. We showcase two recent examples that expand on these concepts to perform aberration and scattering correction with photon pairs.
• Score: 1.2316671400812602
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Quantum imaging enhances imaging systems performance, potentially surpassing fundamental limits such as noise and resolution. However, these schemes have limitations and are still a long way from replacing classical techniques. Therefore, there is a strong focus on improving the practicality of quantum imaging methods, with the goal of finding real-world applications. With this in mind, in this tutorial we describe how the concepts of classical light shaping can be applied to imaging schemes based on entangled photon pairs. We detail two basic experimental configurations in which a spatial light modulator is used to shape the spatial correlations of a photon pair state and highlight the key differences between this and classical shaping. We then showcase two recent examples that expand on these concepts to perform aberration and scattering correction with photon pairs. We include specific details on the key steps of these experiments, with the goal that this can be used as a guide for building photon-pair-based imaging and shaping experiments.

Related papers

• Oscillation Inversion: Understand the structure of Large Flow Model through the Lens of Inversion Method [60.88467353578118]
  We show that a fixed-point-inspired iterative approach to invert real-world images does not achieve convergence, instead oscillating between distinct clusters. We introduce a simple and fast distribution transfer technique that facilitates image enhancement, stroke-based recoloring, as well as visual prompt-guided image editing.
  arXiv  Detail & Related papers  (2024-11-17T17:45:37Z)
• Tomography of the spatial structure of light [0.0]
  We consider a spatially structured light mode that is specified by coefficients with respect to some basis, such as the Laguerre-Gaussian or Hermite-Gaussian modes. We explore a mathematical analogy between this problem and quantum state tomography, which allows us to readily utilize many techniques of this well established field. The work here presented is expected to help the development of characterization techniques in the field of structured light and in its application for both classical and quantum information protocols.
  arXiv  Detail & Related papers  (2024-04-08T15:43:56Z)
• Two photons everywhere [0.0]
  We show that the basic concepts of interferences and correlations provide at the two-photon level an independent and drastically different picture than at the one-photon level.
  arXiv  Detail & Related papers  (2024-02-21T18:50:50Z)
• Multiphoton Correlations between Quantum Images [0.8701566919381222]
  Experimental demonstrations of entangled quantum images produced through parametric downconversion have so far been confined to studying two photon correlations. Here we show that multiphoton correlations between quantum images are accessible experimentally and exhibit many new features including being sensitive to the phase of the bi-photon wavefunction.
  arXiv  Detail & Related papers  (2022-11-16T05:07:52Z)
• Amplification of cascaded downconversion by reusing photons with a switchable cavity [62.997667081978825]
  We propose a scheme to amplify triplet production rates by using a fast switch and a delay loop. Our proof-of-concept device increases the rate of detected photon triplets as predicted.
  arXiv  Detail & Related papers  (2022-09-23T15:53:44Z)
• Quantum imaging and metrology with undetected photons: a tutorial [0.0]
  We present a tutorial on the phenomenon of induced coherence without induced emission. It is based on a striking effect where two nonlinear crystals, by sharing a coherent pump and one of two output beams each, can induce correlations between the other two individual, non-interacting beams. This can be thought of as a type of quantum-erasure effect, where the welcher-weg'' (which-way) or in this case which-source'' information is erased when the shared beams are aligned.
  arXiv  Detail & Related papers  (2022-02-20T19:58:19Z)
• Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics [72.9038524082252]
  We propose a compact single-shot monocular hyperspectral-depth (HS-D) imaging method. Our method uses a diffractive optical element (DOE), the point spread function of which changes with respect to both depth and spectrum. To facilitate learning the DOE, we present a first HS-D dataset by building a benchtop HS-D imager.
  arXiv  Detail & Related papers  (2020-09-01T14:19:35Z)
• Metasurfaces for Quantum Photonics [62.997667081978825]
  Development of metasurfaces allowed to replace bulky optical assemblies with thin nanostructured films. Recent progress in the field of quantum-photonics applications of metasurfaces.
  arXiv  Detail & Related papers  (2020-07-29T10:14:43Z)
• Spatial Mode Correction of Single Photons using Machine Learning [1.8086378019947618]
  We exploit the self-learning and self-evolving features of artificial neural networks to correct the complex spatial profile of distorted Laguerre-Gaussian modes at the single-photon level. Our results have important implications for real-time turbulence correction of structured photons and single-photon images.
  arXiv  Detail & Related papers  (2020-06-14T01:25:17Z)
• Deep Photon Mapping [59.41146655216394]
  In this paper, we develop the first deep learning-based method for particle-based rendering. We train a novel deep neural network to predict a kernel function to aggregate photon contributions at shading points. Our network encodes individual photons into per-photon features, aggregates them in the neighborhood of a shading point, and infers a kernel function from the per-photon and photon local context features.
  arXiv  Detail & Related papers  (2020-04-25T06:59:10Z)
• Theoretical methods for ultrastrong light-matter interactions [91.3755431537592]
  This article reviews theoretical methods developed to understand cavity quantum electrodynamics in the ultrastrong-coupling regime. The article gives a broad overview of the recent progress, ranging from analytical estimate of ground-state properties to proper computation of master equations. Most of the article is devoted to effective models, relevant for the various experimental platforms in which the ultrastrong coupling has been reached.
  arXiv  Detail & Related papers  (2020-01-23T18:09:10Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.