Ghost Imaging with Non-Gaussian Quantum Light

Dongyu Liu, Mingsheng Tian, Shuheng Liu, Xiaolong Dong, Jiajie Guo, Qiongyi He, Haitan Xu, and Zheng Li

Phys. Rev. Applied 16, 064037 – Published 15 December 2021

Abstract

Nonlocal point-to-point correlations between two photons have been used to produce “ghost” images without placing the camera towards the object. Here we theoretically demonstrate and analyze the advantage of non-Gaussian quantum light in improving the image quality of a ghost imaging system over a traditional Gaussian light source. For any squeezing degree, the signal-to-noise ratio (SNR) of the ghost image can be enhanced by the non-Gaussian operations of photon addition and subtraction on a two-mode squeezed light source. We find striking evidence that using non-Gaussian coherent operations, the SNR can be promoted to a high level even within the extremely weak squeezing regime. The resulting insight provides experimental recipes of quantum imaging using non-Gaussian light for illumination.

Received 20 May 2021
Revised 8 August 2021
Accepted 29 November 2021

DOI:https://doi.org/10.1103/PhysRevApplied.16.064037

Physics Subject Headings (PhySH)

Ghost imaging Imaging & optical processing Noise Optics & lasers Quantum optics

Atomic, Molecular & Optical

Authors & Affiliations

Dongyu Liu^1,§, Mingsheng Tian^1,§, Shuheng Liu¹, Xiaolong Dong¹, Jiajie Guo¹, Qiongyi He^1,2,*, Haitan Xu ^3,4,†, and Zheng Li ^1,2,5,‡

¹State Key Laboratory for Mesoscopic Physics and Collaborative Innovation Center of Quantum Matter, School of Physics, Peking University, Beijing 10087, China
²Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan, Shanxi 030006, China
³Shenzhen Institute for Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
⁴School of Physical Sciences, University of Science and Technology of China, Hefei 230026, China
⁵Peking University Yangtze Delta Institute of Optoelectronics, Nantong 226010, China

^*qiongyihe@pku.edu.cn
^†xuht@sustech.edu.cn
^‡zheng.li@pku.edu.cn
^§These authors contributed equally to this work.

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Vol. 16, Iss. 6 — December 2021

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