Partial-Frame Quantum Ghost Imaging via Physics-Guided Learning

CLEO 2026 2026

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Authors: Shaian Khan, Nathnael Kahassai, Ahmed Hassan, Shu-Ching Chen, Maksim Skorobogatiy, Mei-Ling Shyu, Hichem Guerboukha
DOI: 10.1364/cleo_at.2026.jtu.179
Cited by: 1
References: 4

Abstract

We propose a physics-guided deep neural network reconstruction pipeline for Quantum Ghost Imaging capable of inferring final images based on partial camera frames. Compared with a noisy input, our model achieves up to 27% relative improvement in agreement with the ground truth.

Publication details

Journal / source
CLEO 2026
Publisher
Optica Publishing Group
Pages
JTU.179–JTU.179
Publication date
1 January 2026