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Applied Physics Letters

Axial localization enabled by quantum correlations

Yiqian Yang, Yunhui Gao, Liangcai Cao

Published Jun 15, 2026• 0 citations
Publisher

Abstract

Accurate axial localization is essential for identifying the object position along the optical axis, which directly impacts the resolution and fidelity of image reconstruction. However, conventional localization techniques rely on first-order intensity measurements and numerical propagation based on image sharpness metrics, making them susceptible to noise and diffraction-induced artifacts. Here, we propose a quantum correlation based axial localization method enabled by entangled photon pairs, where the axial position is encoded in the correlation peak width. In contrast to classical intensity-based approaches, the proposed method exploits second-order correlations and operates independently of the imaging modality and specimen. We analyze the evolution of the correlation peak width with defocus and show that it provides a direct and reliable indicator of the axial position. The proposed approach demonstrates enhanced noise robustness and avoids computationally intensive optimization procedures. This physics-driven framework enables robust axial localization in lensless, noninvasive, and photon-limited imaging scenarios and holds potential for advancing high-fidelity quantum imaging systems.

DOI
10.1063/5.0341130

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Quantum imaging techniques offer enhanced resolution, contrast, and precision at ultralow illumination levels compared to traditional imaging approaches. Relying on the unique properties of entangled photon pairs, two of these techniques stand out: the correlation-based quantum imaging technique provides visibility enhancement in imaging of a low-reflectivity object which is subject to excessive noise and losses, while the interaction-free ghost imaging allows for probing the presence of an object with an ultimately low number of photons. Here we propose a quantum imaging scheme that combines the unique advantages of these two approaches. We show that this scheme offers high-contrast imaging of objects with a minimal number of photons that can minimize thermal noise efficiently and create background-free images. We anticipate that this approach can find application in the imaging of photosensitive biological tissues in a noninvasive and harm-free fashion.