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Quantum correlation imaging via X-ray parametric down-conversion

  • Justin C. Goodrich
  • , Ryan Mahon
  • , Joseph Hanrahan
  • , Dennis Bollweg
  • , Monika Dziubelski
  • , Raphael A. Abrahao
  • , Sanjit Karmakar
  • , Kazimierz J. Gofron
  • , Thomas A. Caswell
  • , Daniel Allan
  • , Lonny Berman
  • , Andrei Nomerotski
  • , Andrei Fluerasu
  • , Cinzia DaVià
  • , Sean McSweeney
  • Brookhaven National Laboratory
  • Simons Foundation
  • United States Department of Energy
  • Rochester Institute of Technology
  • Stony Brook University
  • Spallation Neutron Source
  • Florida International University
  • Czech Technical University in Prague

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Quantum imaging leverages correlations between pairs of photons and has the potential to obtain image information beyond what classical sources provide. Extending this approach to the X-ray regime has been limited by low photon-pair generation rates and the lack of suitable detectors. Here, we demonstrate X-ray coincidence imaging using spontaneous parametric down-conversion (SPDC) and a pixelated area detector with time- and energy-resolved capabilities. This configuration enables simultaneous detection of correlated X-ray photon pairs and coincidence-based imaging of test objects, including a biological specimen. The increased coincidence rate and spatially resolved detection establish a basis for future quantum-enhanced and low-dose X-ray imaging.

Original languageEnglish
Pages (from-to)135-142
Number of pages8
JournalOptica
Volume13
Issue number1
DOIs
StatePublished - Jan 20 2026

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