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We study the use of detection devices in entanglement-based state preparation. In particular we consider optical detection devices such as single-photon sensitivity detectors, single-photon resolution detectors and detector cascades (with…

Quantum Physics · Physics 2009-10-31 Pieter Kok , Samuel L. Braunstein

Synthetic aperture sonar (SAS) requires precise positional and environmental information to produce well-focused output during the image reconstruction step. However, errors in these measurements are commonly present resulting in defocused…

Image and Video Processing · Electrical Eng. & Systems 2021-08-02 Isaac Gerg , Vishal Monga

We report a positioning method for transparent targets with an accuracy of \SI{2}{\mu m} for a compact laser proton accelerator. The positioning system consists of two light-emitting diodes (LED), a long working distance objective and two…

Deep learning has emerged as a transformative tool in healthcare, offering significant advancements in dental diagnostics by analyzing complex imaging data. This paper presents an enhanced ResNet50 architecture, integrated with the SimAM…

Computer Vision and Pattern Recognition · Computer Science 2024-07-12 Shahriar Rezaie , Neda Saberitabar , Elnaz Salehi

We present a new technique that we have defined as the z-scan confocal method to determine the absolute location and size of the focal spot in a tight focused ultrashort laser pulse. The method permits to accurately position a target in the…

Instrumentation and Detectors · Physics 2017-05-01 P. Castro-Marín , G. Castro-Olvera , C. Ruíz , J. Garduño-Mejía , M. Rosete-Aguilar , N. C. Bruce

To operate quantum sensors at their quantum limit in real time, it is crucial to identify efficient data inference tools for rapid parameter estimation. In photodetection, the key challenge is the fast interpretation of click-patterns that…

Quantum Physics · Physics 2026-02-24 Mateusz Molenda , Lewis A. Clark , Marcin Płodzień , Jan Kolodynski

LiDAR point clouds are widely used in autonomous driving and consist of large numbers of 3D points captured at high frequency to represent surrounding objects such as vehicles, pedestrians, and traffic signs. While this dense data enables…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Z. Rozsa , Á. Madaras , Q. Wei , X. Lu , M. Golarits , H. Yuan , T. Sziranyi , R. Hamzaoui

Studies on out-of-equilibrium dynamics have paved a way to realize a new state of matter. Especially, superconductor-like properties above room temperatures recently suggested in copper oxides achieved by selectively exciting vibrational…

Superconductivity · Physics 2017-08-22 Kota Ido , Takahiro Ohgoe , Masatoshi Imada

Coupled laser arrays exhibit rich and complex physical properties, making them powerful tools for exploring a wide range of phenomena. They enable efficient ground-state optimization of complex landscapes, solve computational problems,…

Optics · Physics 2025-02-10 Simon Mahler

Cone-beam computed tomography (CBCT) is a valuable imaging method in dental diagnostics that provides information not available in traditional 2D imaging. However, interpretation of CBCT images is a time-consuming process that requires a…

Computer Vision and Pattern Recognition · Computer Science 2018-10-25 Adel Zakirov , Matvey Ezhov , Maxim Gusarev , Vladimir Alexandrovsky , Evgeny Shumilov

Illumination using correlated photon sources has been established as an approach to allowing high-fidelity images to be reconstructed from noisy camera frames by taking advantage of the knowledge that signal photons are spatially correlated…

In strong-field physics experiments with intense lasers, it is of paramount importance to single-shot diagnose the temporal contrast between laser pulse peak and its noise pedestal. This allows fast optimization of pulse contrast and…

Optics · Physics 2021-02-26 Jingui Ma , Peng Yuan , Xiaoping Ouyang , Jing Wang , Guoqiang Xie , Liejia Qian

Entangled photons have the remarkable ability to be more sensitive to signal and less sensitive to noise than classical light. Joint photons can sample an object collectively, resulting in faster phase accumulation and higher spatial…

Optics · Physics 2015-09-04 Chien-Hung Lu , Matthew Reichert , Xiaohang Sun , Jason W. Fleischer

Two remote parties, Alice and Bob initially share some non-maximally entangled states. Through the entanglement concentration by local operation and classical communication(LOCC), they may obtain an outcome of maximally entangled states in…

Quantum Physics · Physics 2009-11-10 Wang Xiang-bin , Fan Heng

Entanglement in continuous-variable non-Gaussian states provides irreplaceable advantages in many quantum information tasks. However, the sheer amount of information in such states grows exponentially and makes a full characterization…

There has been much recent interest in quantum optical interferometry for applications to metrology, sub-wavelength imaging, and remote sensing, such as in quantum laser radar (LADAR). For quantum LADAR, atmospheric absorption rapidly…

Quantum Physics · Physics 2015-05-13 Yang Gao , Christoph F. Wildfeuer , Petr M. Anisimov , Hwang Lee , Jonathan P. Dowling

Accelerator-based light sources such as storage rings and free-electron lasers use relativistic electron beams to produce intense radiation over a wide spectral range for fundamental research in physics, chemistry, materials science,…

Accelerator Physics · Physics 2015-06-19 Erik Hemsing , Gennady Stupakov , Dao Xiang , Alexander Zholents

Quantum imaging is an advanced method for microscopy or investigating the optical properties of materials or bio-medical inspections with high accuracy, low noise, and extremely low photo-damage. In previous work, we proposed a quantum…

Optics · Physics 2025-05-09 Mousume Samad , Maki Shimizu , Yasuto Hijikata

Laser-plasma physics has developed rapidly over the past few decades as high-power lasers have become both increasingly powerful and more widely available. Early experimental and numerical research in this field was restricted to…

Machine Learning · Computer Science 2023-05-25 Andreas Döpp , Christoph Eberle , Sunny Howard , Faran Irshad , Jinpu Lin , Matthew Streeter

Untrained Physics-based Deep Learning (DL) methods for digital holography have gained significant attention due to their benefits, such as not requiring an annotated training dataset, and providing interpretability since utilizing the…

Computer Vision and Pattern Recognition · Computer Science 2024-03-20 Xiwen Chen , Hao Wang , Zhao Zhang , Zhenmin Li , Huayu Li , Tong Ye , Abolfazl Razi