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Report . 2026
License: CC BY
Data sources: Datacite
ZENODO
Report . 2026
License: CC BY
Data sources: Datacite
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IntrixKey Research Series — Part III : Quantum-Inspired Multi-Angle Infrared Phantom Imaging: Experimental Proof of Concept

Authors: Cardon, Patrick;

IntrixKey Research Series — Part III : Quantum-Inspired Multi-Angle Infrared Phantom Imaging: Experimental Proof of Concept

Abstract

Nous présentons une démonstration expérimentale d’imagerie fantôme multi-angle en infrarouge fondée sur une architecture photonique classique structurée selon une logique d’inspiration quantique. Le dispositif repose sur une illumination infrarouge modulée par motifs spatiaux, une détection à pixel unique et un traitement par corrélation d’intensité. Les motifs sont organisés selon des bases d’encodage distinctes, et un filtrage informationnel inspiré du protocole BB84 est appliqué afin de sélectionner les mesures statistiquement cohérentes.Cinquante projections angulaires uniformément réparties sur 180° ont été acquises sur des objets diffusants servant d’analogues optiques simplifiés. Pour chaque angle, une reconstruction bidimensionnelle est obtenue par corrélation, puis l’ensemble des projections est combiné par une rétroprojection pondérée afin d’estimer qualitativement la distribution volumique des contrastes internes.Une analyse fondée sur l’information de Fisher classique et la borne de Cramér–Rao permet d’évaluer l’impact du filtrage structuré sur la sensibilité de l’estimation. L’approche ne met en œuvre aucun phénomène quantique non classique ; son originalité réside dans la structuration informationnelle de mesures photoniques classiques pour une estimation volumique qualitative à complexité instrumentale réduite.

We present an experimental demonstration of multi-angle infrared ghost imaging based on a classical photonic architecture structured according to quantum-inspired logic. The device relies on spatially pattern-modulated infrared illumination, single-pixel detection, and intensity correlation processing. The patterns are organized according to distinct encoding bases, and information filtering inspired by the BB84 protocol is applied to select consistent statistical measurements.Fifty angular projections distributed over 180° were acquired on scattering objects serving as simplified optical analogs. For each angle, a two-dimensional reconstruction is obtained by correlation, and then all projections are combined by weighted backprojection to qualitatively examine the volumetric distribution of internal contrasts. An analysis based on classical Fisher information and the Cramér-Rao bound allows us to evaluate the impact of structured filtering on the sensitivity of the estimation. The approach does not implement any non-classical quantum phenomena. Its originality lies in the informational structuring of classical photonic measurements for a qualitative volumetric estimation with reduced instrumental complexity.

Keywords

inverse problems, Intelligence artificielle, artificial intelligence, computational imaging, Reconstruction tomographique, photonic sensing, Imagerie computationnelle, Problèmes inverses, Imagerie biomédicale, IntrixKey, Quantum-inspired systems, quantum optics, Détection photonique, biomedical imaging, Optique quantique

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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