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In recent years, the introduction of deep learning into the field of single-pixel imaging has garnered significant attention. However, traditional networks often operate within the pixel space. To address this, we innovatively migrate…

Image and Video Processing · Electrical Eng. & Systems 2025-09-05 Chenyu Yuan

Benefiting from its single-photon sensitivity, single-photon avalanche diode (SPAD) array has been widely applied in various fields such as fluorescence lifetime imaging and quantum computing. However, large-scale high-fidelity…

Information transfer rates in optical communications may be dramatically increased by making use of spatially non-Gaussian states of light. Here we demonstrate the ability of deep neural networks to classify numerically-generated, noisy…

Applied Physics · Physics 2018-06-19 Sanjaya Lohani , Erin M. Knutson , Matthew O'Donnell , Sean D. Huver , Ryan T. Glasser

We introduce Zernike polynomials as a novel degree of freedom for encoding quantum information in the spatial structure of photons. Building on their orthogonality and completeness over the unit disc, we develop a framework for generating,…

Quantum Physics · Physics 2025-10-20 Hakob Avetisyan , Gor Nikoghosyan

Photons are critical to quantum technologies since they can be used for virtually all quantum information tasks: in quantum metrology, as the information carrier in photonic quantum computation, as a mediator in hybrid systems, and to…

Quantum Physics · Physics 2013-08-02 Jonathan Lavoie , John M. Donohue , Logan G. Wright , Alessandro Fedrizzi , Kevin J. Resch

The growing number of man-made debris in Earth's orbit poses a threat to active satellite missions due to the risk of collision. Characterizing unknown debris is, therefore, of high interest. Light Curves (LCs) are temporal variations of…

Instrumentation and Methods for Astrophysics · Physics 2024-11-28 Nadine M. Trummer , Amit Reza , Michael A. Steindorfer , Christiane Helling

Image degradation due to atmospheric turbulence is common while capturing images at long ranges. To mitigate the degradation due to turbulence which includes deformation and blur, we propose a generative single frame restoration algorithm…

Computer Vision and Pattern Recognition · Computer Science 2020-07-24 Chun Pong Lau , Hossein Souri , Rama Chellappa

Realistic free-space optical communications systems suffer from turbulent propagation of light through the atmosphere and detector noise at the receiver, which can significantly degrade the optical mode quality of the received state,…

Signal Processing · Electrical Eng. & Systems 2020-10-12 Sanjaya Lohani , Ryan T. Glasser

Light field imaging extends the traditional photography by capturing both spatial and angular distribution of light, which enables new capabilities, including post-capture refocusing, post-capture aperture control, and depth estimation from…

Computer Vision and Pattern Recognition · Computer Science 2018-03-14 M. Shahzeb Khan Gul , Bahadir K. Gunturk

We consider quantum error-correction codes for multimode bosonic systems, such as optical fields, that are affected by amplitude damping. Such a process is a generalization of an erasure channel. We demonstrate that the most accessible…

Quantum Physics · Physics 2007-05-23 Wojciech Wasilewski , Konrad Banaszek

Quantum memory is one of key ingredients consisting of quantum networks, therefore storing light at single photon level is an important step for realizing quantum networks. A photon, encoded in a high-dimensional state, can significantly…

Quantum Physics · Physics 2015-06-04 Dong-Sheng Ding , Jing-Hui Wu , Zhi-Yuan Zhou , Yang Liu , Bao-Sen Shi , Xu-Bo Zou , Guang-Can Guo

Resonance fluorescence of two-level quantum systems has emerged as a powerful tool in quantum information processing. Extension of this approach to higher-level systems provides new opportunities for quantum optics applications. Here we…

Quantum Physics · Physics 2022-05-19 Łukasz Dusanowski , Chris Gustin , Stephen Hughes , Christian Schneider , Sven Höfling

Super-resolution is a fundamental problem in computer vision which aims to overcome the spatial limitation of camera sensors. While significant progress has been made in single image super-resolution, most algorithms only perform well on…

Computer Vision and Pattern Recognition · Computer Science 2021-02-03 Xiangyu Xu , Yongrui Ma , Wenxiu Sun , Ming-Hsuan Yang

The frequency conversion of light has proved to be a crucial technology for communication, spectroscopy, imaging, and signal processing. In the quantum regime, it also offers great potential for realizing quantum networks incorporating…

Quantum Physics · Physics 2016-04-08 Nobuyuki Matsuda

The identification of light sources represents a task of utmost importance for the development of multiple photonic technologies. Over the last decades, the identification of light sources as diverse as sunlight, laser radiation and…

We consider a microscopy setting where quantum light is used for illumination. Spontaneous parametric down conversion (SPDC) is used as a source of a heralded single photon, which is quantum light prepared in a Fock state. We present…

Quantum Physics · Physics 2023-06-08 Maria Gieysztor , Joshua Nepinak , Christopher J. Pugh , Piotr Kolenderski

Spatially entangled twin photons allow the study of high-dimensional entanglement, and the Laguerre-Gauss modes are the most commonly used basis to discretize the single photon mode spaces. In this basis, to date only the azimuthal degree…

Quantum Physics · Physics 2012-04-27 V. D. Salakhutdinov , E. R. Eliel , W. Löffler

Studying quantum correlations in the presence of loss is of critical importance for the physical modeling of real quantum systems. Here, we demonstrate the control of spatial correlations between entangled photons in a photonic chip,…

Reliable transmission of quantum optical states through real-world environments is key for quantum communication and imaging. Yet, aberrations and scattering in the propagation path can scramble the transmitted signal and hinder its use. A…

Quantum Physics · Physics 2025-09-05 Shaurya Aarav , Hugo Defienne

Real-world exposure correction is fundamentally challenged by spatially non-uniform degradations, where diverse exposure errors frequently coexist within a single image. However, existing exposure correction methods are still largely…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 Ao Li , Jiawei Sun , Le Dong , Zhenyu Wang , Weisheng Dong