Advancing X-ray quantum imaging through Monte-Carlo simulations

Imaging with X-rays poses fundamental limits due to radiation damage of the highly energetic photons. This becomes problematic for sensitive biological systems such as subcellular structures. Lowering the radiation dose, without sacrificing the signal-to-noise ratio, would be desirable for any kind of imaging modalities involving X-rays. To achieve this goal, quantum imaging with entangled X-ray photons constitutes a promising route. Production of biphotons have been demonstrated in the X-ray regime by the process of Spontaneous Parametric Down-Conversion (SPDC). However, compared to SPDC in the regime of visible light, the production rate for X-ray biphotons is extremely low. With the introduction of new high average brightness X-ray sources, such as 4th generation synchrotrons and high repetition rate Free-Electron X-ray Lasers (XFEL), quantum imaging may become practical. We introduce a ray tracing approach using Monte-Carlo sampling, specifically designed for quantum imaging with entangled X-ray photons generated by SPDC. By simulation, the superior image quality of quantum over classical imaging methods is demonstrated using realistic experimental conditions available at high repetition rate XFELs. With these simulations, we can efficiently assist the design of future experiments at beam lines, which can substantially accelerate the advancement of X-ray quantum imaging and reduce costs.

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Publication Details

Journal
Scientific Reports
Published
2025-07-14
DOI
https://doi.org/10.1038/s41598-025-10495-z
Citations
2
Primary Topic
Advanced X-ray Imaging Techniques
Type
article
Field-Weighted Citation Impact
3.77

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article

Advancing X-ray quantum imaging through Monte-Carlo simulations

Gabriel Biener, Pakhshan Espoukeh, Peter Schwander, James M. Baxter et al.
2 citations
Scientific Reports
Advanced X-ray Imaging Techniques
3.77
article

Advancing X-ray quantum imaging through Monte-Carlo simulations

Gabriel Biener, Pakhshan Espoukeh, Peter Schwander, James M. Baxter, Andrew Aquila
article en
2 citations

Abstract

Imaging with X-rays poses fundamental limits due to radiation damage of the highly energetic photons. This becomes problematic for sensitive biological systems such as subcellular structures. Lowering the radiation dose, without sacrificing the signal-to-noise ratio, would be desirable for any kind of imaging modalities involving X-rays. To achieve this goal, quantum imaging with entangled X-ray photons constitutes a promising route. Production of biphotons have been demonstrated in the X-ray regime by the process of Spontaneous Parametric Down-Conversion (SPDC). However, compared to SPDC in the regime of visible light, the production rate for X-ray biphotons is extremely low. With the introduction of new high average brightness X-ray sources, such as 4th generation synchrotrons and high repetition rate Free-Electron X-ray Lasers (XFEL), quantum imaging may become practical. We introduce a ray tracing approach using Monte-Carlo sampling, specifically designed for quantum imaging with entangled X-ray photons generated by SPDC. By simulation, the superior image quality of quantum over classical imaging methods is demonstrated using realistic experimental conditions available at high repetition rate XFELs. With these simulations, we can efficiently assist the design of future experiments at beam lines, which can substantially accelerate the advancement of X-ray quantum imaging and reduce costs.

Scientific ReportsVol. 15(1)
SLAC National Accelerator Laboratory (US)
U.S. Department of Energy, Office of Science, Basic Energy Sciences, Biological and Environmental Research, SLAC National Accelerator Laboratory
Openalex Percentile: Top 7%
Advanced X-ray Imaging Techniques
3.77
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Advancing X-ray quantum imaging through Monte-Carlo simulations — Gabriel Biener, Pakhshan Espoukeh, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS