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Solid-state superconducting circuits are versatile systems in which quantum states can be engineered and controlled. Recent progress in this area has opened up exciting possibilities for exploring fundamental physics as well as applications…

Soft Condensed Matter · Physics 2007-10-05 O. Astafiev , K. Inomata , A. O. Niskanen , T. Yamamoto , Yu. A. Pashkin , Y. Nakamura , J. S. Tsai

Object detection is an important research area in the field of computer vision. Many detection algorithms have been proposed. However, each object detector relies on specific assumptions of the object appearance and imaging conditions. As a…

Computer Vision and Pattern Recognition · Computer Science 2015-11-23 Sezer Karaoglu , Yang Liu , Theo Gevers

In this paper, we introduce a variation of the group testing problem capturing the idea that a positive test requires a combination of multiple ``types'' of item. Specifically, we assume that there are multiple disjoint \emph{semi-defective…

Information Theory · Computer Science 2024-05-10 Thach V. Bui , Jonathan Scarlett

We study the process of squeezing of an ensemble of cold atoms in a pulsed optical lattice. The problem is treated both classically and quantum-mechanically under various thermal conditions. We show that a dramatic compression of the atomic…

Quantum Physics · Physics 2009-11-07 M. Leibscher , I. Sh. Averbukh

This paper provides a novel approach to stitching surface images of rotationally symmetric parts. It presents a process pipeline that uses a feature-based stitching approach to create a distortion-free and true-to-life image from a video…

Computer Vision and Pattern Recognition · Computer Science 2021-06-22 Tobias Schlagenhauf , Tim Brander , Juergen Fleischer

Quantum tomography is a fundamental technique for characterizing, benchmarking, and verifying quantum states and devices. It plays a crucial role in advancing quantum technologies and deepening our understanding of quantum mechanics.…

We propose a simple method for uniform sampling of points on the surface of a hypersphere in arbitrarily many dimensions. By avoiding the evaluation of computationally expensive functions like logarithms, sines, cosines, or higher order…

Numerical Analysis · Mathematics 2022-05-02 Stefan Schnabel , Wolfhard Janke

Feature selection is an important problem studied in data analytics seeking to identify a minimal-size feature subset that is optimally predictive for an outcome of interest. It is also a powerful tool in Knowledge Discovery as a means for…

Statistics Theory · Mathematics 2018-02-27 Yannis Pantazis , Vincenzo Lagani , Paulos Charonyktakis , Ioannis Tsamardinos

Although conventional lasers operate with a large number of intracavity atoms, the lasing properties of a single atom in a resonant cavity have been theoretically investigated for more than a decade. Here we report the experimental…

Quantum Physics · Physics 2007-05-23 J. McKeever , A. Boca , A. D. Boozer , J. R. Buck , H. J. Kimble

We present a thorough analysis of single atom detection using optical cavities. The large set of parameters that influence the signal-to-noise ratio for cavity detection is considered, with an emphasis on detunings, probe power, cavity…

Quantum Physics · Physics 2008-08-07 R. Poldy , B. C. Buchler , J. C. Close

In this paper we propose a linear variable screening method for computer experiments when the number of input variables is larger than the number of runs. This method uses a linear model to model the nonlinear data, and screens the…

Methodology · Statistics 2020-06-16 Chunya Li , Daijun Chen , Shifeng Xiong

Scanning transmission electron microscopy (STEM) is an extremely versatile method for studying materials on the atomic scale. Many STEM experiments are supported or validated with electron scattering simulations. However, using the…

Scanning helium microscopy (SHeM) is an emerging technique that uses a beam of neutral atoms to image and analyse surfaces. The low energies ($\sim$64 meV) and completely non-destructive nature of the probe particles provide exceptional…

The fusion enhancement factor due to screening in the solar plasma is calculated. We use the finite temperature Green's function method and a self consistent mean field approximation. We reduce this to one center problems, because in the…

Astrophysics · Physics 2009-10-31 L. Wilets , B. G. Giraud , M. J. Watrous , J. J. Rehr

Traditional manual detection for solder joint defect is no longer applied during industrial production due to low efficiency, inconsistent evaluation, high cost and lack of real-time data. A new approach has been proposed to address the…

Computer Vision and Pattern Recognition · Computer Science 2024-01-04 Li Ang , Siti Khatijah Nor Abdul Rahim , Raseeda Hamzah , Raihah Aminuddin , Gao Yousheng

Subjective assessment tests are often employed to evaluate image processing systems, notably image and video compression, super-resolution among others and have been used as an indisputable way to provide evidence of the performance of an…

Multimedia · Computer Science 2023-11-13 Shima Mohammadi , Joao Ascenso

Early and correct diagnosis is a very important aspect of cancer treatment. Detection of tumour in Computed Tomography scan is a tedious and tricky task which requires expert knowledge and a lot of human working hours. As small human error…

Computer Vision and Pattern Recognition · Computer Science 2018-01-08 Devesh Walawalkar

We consider how to measure collective spin states of an atomic ensemble based on the recent multi-pass approaches for quantum interface between light and atoms. We find that a scheme with two passages of a light pulse through the atomic…

Quantum Physics · Physics 2011-09-05 Ryo Namiki , Tetsushi Takano , Shin-Ichi-Ro Tanaka , Yoshiro Takahashi

Group testing algorithms are very useful tools for DNA library screening. Building on recent work by Levenshtein (2003) and Tonchev (2008), we construct in this paper new infinite classes of combinatorial structures, the existence of which…

Discrete Mathematics · Computer Science 2011-06-21 Michael Huber

This paper presents a state-of-the-art approach in object detection for being applied in future SLAM problems. Although, many SLAM methods are proposed to create suitable autonomy for mobile robots namely ground vehicles, they still face…

Robotics · Computer Science 2018-10-05 Seyed Amir Tafrishi , Vahid E. Kandjani
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