38,001 research outputs found

    On the comparison of volumes of quantum states

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    This paper aims to study the \a-volume of \cK, an arbitrary subset of the set of N×NN\times N density matrices. The \a-volume is a generalization of the Hilbert-Schmidt volume and the volume induced by partial trace. We obtain two-side estimates for the \a-volume of \cK in terms of its Hilbert-Schmidt volume. The analogous estimates between the Bures volume and the \a-volume are also established. We employ our results to obtain bounds for the \a-volume of the sets of separable quantum states and of states with positive partial transpose (PPT). Hence, our asymptotic results provide answers for questions listed on page 9 in \cite{K. Zyczkowski1998} for large NN in the sense of \a-volume. \vskip 3mm PACS numbers: 02.40.Ft, 03.65.Db, 03.65.Ud, 03.67.M

    Constraint-based sequence mining using constraint programming

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    The goal of constraint-based sequence mining is to find sequences of symbols that are included in a large number of input sequences and that satisfy some constraints specified by the user. Many constraints have been proposed in the literature, but a general framework is still missing. We investigate the use of constraint programming as general framework for this task. We first identify four categories of constraints that are applicable to sequence mining. We then propose two constraint programming formulations. The first formulation introduces a new global constraint called exists-embedding. This formulation is the most efficient but does not support one type of constraint. To support such constraints, we develop a second formulation that is more general but incurs more overhead. Both formulations can use the projected database technique used in specialised algorithms. Experiments demonstrate the flexibility towards constraint-based settings and compare the approach to existing methods.Comment: In Integration of AI and OR Techniques in Constraint Programming (CPAIOR), 201

    Characterization of high finesse mirrors: loss, phase shifts and mode structure in an optical cavity

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    An extensive characterization of high finesse optical cavities used in cavity QED experiments is described. Different techniques in the measurement of the loss and phase shifts associated with the mirror coatings are discussed and their agreement shown. Issues of cavity field mode structure supported by the dielectric coatings are related to our effort to achieve the strongest possible coupling between an atom and the cavity.Comment: 8 pages, 4 figure

    Guiding optical flows by photonic crystal slabs made of dielectric cylinders

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    We investigate the electromagnetic propagation in two-dimensional photonic crystals, formed by parallel dielectric cylinders embedded a uniform medium. The frequency band structure is computed using the standard plane-wave expansion method, while the propagation and scattering of the electromagnetic waves are calculated by the multiple scattering theory. It is shown that within partial bandgaps, the waves tend to bend away from the forbidden directions. Such a property may render novel applications in manipulating optical flows. In addition, the relevance with the imaging by flat photonic crystal slabs will also be discussed.Comment: 5 pages, 5 figure

    Single crystal MgB2 with anisotropic superconducting properties

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    The discovery of superconductor in magnesium diboride MgB2 with high Tc (39 K) has raised some challenging issues; whether this new superconductor resembles a high temperature cuprate superconductor(HTS) or a low temperature metallic superconductor; which superconducting mechanism, a phonon- mediated BCS or a hole superconducting mechanism or other new exotic mechanism may account for this superconductivity; and how about its future for applications. In order to clarify the above questions, experiments using the single crystal sample are urgently required. Here we have first succeeded in obtaining the single crystal of this new MgB2 superconductivity, and performed its electrical resistance and magnetization measurements. Their experiments show that the electronic and magnetic properties depend on the crystallographic direction. Our results indicate that the single crystal MgB2 superconductor shows anisotropic superconducting properties and thus can provide scientific basis for the research of its superconducting mechanism and its applications.Comment: 7 pages pdf fil

    Fiber Orientation Estimation Guided by a Deep Network

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    Diffusion magnetic resonance imaging (dMRI) is currently the only tool for noninvasively imaging the brain's white matter tracts. The fiber orientation (FO) is a key feature computed from dMRI for fiber tract reconstruction. Because the number of FOs in a voxel is usually small, dictionary-based sparse reconstruction has been used to estimate FOs with a relatively small number of diffusion gradients. However, accurate FO estimation in regions with complex FO configurations in the presence of noise can still be challenging. In this work we explore the use of a deep network for FO estimation in a dictionary-based framework and propose an algorithm named Fiber Orientation Reconstruction guided by a Deep Network (FORDN). FORDN consists of two steps. First, we use a smaller dictionary encoding coarse basis FOs to represent the diffusion signals. To estimate the mixture fractions of the dictionary atoms (and thus coarse FOs), a deep network is designed specifically for solving the sparse reconstruction problem. Here, the smaller dictionary is used to reduce the computational cost of training. Second, the coarse FOs inform the final FO estimation, where a larger dictionary encoding dense basis FOs is used and a weighted l1-norm regularized least squares problem is solved to encourage FOs that are consistent with the network output. FORDN was evaluated and compared with state-of-the-art algorithms that estimate FOs using sparse reconstruction on simulated and real dMRI data, and the results demonstrate the benefit of using a deep network for FO estimation.Comment: A shorter version is accepted by MICCAI 201

    Physiological and psychological influence of multi-media in urban business districts

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    Understanding the complex interaction between human needs and physical facilities in public spaces remains a challenge given the knowledge gap in sustainable cities design and research. This study selected six typical urban business walkways to compare the physiological and psychological effects of a visual-audio environment dominated by visual media on visitors. A total of 180 visitors were randomly selected on 6 walkways to collect physiological and psychological data, and visual-audio environment data were collected in the matching location. Results show that visual media are the most attractive content type in the multi-media system of business walkways, and their attractiveness is evenly distributed among all visitors. This type of media also continuously extends the engagement of visitors during their visiting time. Specifically, visitors spend 71% of their time gazing at visual media that occupy only 31.4% of the walkway facade area. Visitors also stare at videos for a longer time compared with text and images. The different visual-audio interactions in the walkway have different effects on visitors’ eye movements. These visitors also have different evaluations between indoor and outdoor walkways. Specifically, visitors feel 64.4% more comfortable with the visual-audio environment in indoor walkways than in outdoor walkways. Visual-audio interaction has varying effects on visitors’ comfort. Combining images with sound elements generates positive feedback, and visitors feel comfortable when the video content matches the music. The types of music played in indoor and outdoor walkways lead to differences in the temporal variability of acoustic environments. The results of this work contribute to an optimized design of multi-media installed on different functional business district walkways, which in turn can enhance the attractiveness of urban business district areas and bring a comfortable experience to visitors

    Cold Molecule Spectroscopy for Constraining the Evolution of the Fine Structure Constant

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    We report precise measurements of ground-state, λ\lambda-doublet microwave transitions in the hydroxyl radical molecule (OH). Utilizing slow, cold molecules produced by a Stark decelerator we have improved over the precision of the previous best measurement by twenty-five-fold for the F' = 2 →\to F = 2 transition, yielding (1 667 358 996 ±\pm 4) Hz, and by ten-fold for the F' = 1 →\to F = 1 transition, yielding (1 665 401 803 ±\pm 12) Hz. Comparing these laboratory frequencies to those from OH megamasers in interstellar space will allow a sensitivity of 1 ppm for Δα/α\Delta\alpha/\alpha over ∼\sim101010^{10} years.Comment: This version corrects minor typos in the Zeeman shift discussio
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