1,379 research outputs found
A scheme for tunable quantum phase gate and effective preparation of graph-state entanglement
A scheme is presented for realizing a quantum phase gate with three-level
atoms, solid-state qubits--often called artificial atoms, or ions that share a
quantum data bus such as a single mode field in cavity QED system or a
collective vibrational state of trapped ions. In this scheme, the conditional
phase shift is tunable and controllable via the total effective interaction
time. Furthermore, we show that the method can be used for effective
preparation of graph-state entanglement, which are important resources for
quantum computation, quantum error correction, studies of multiparticle
entanglement, fundamental tests of non-locality and decoherence.Comment: 7 pages, 5 figure
Multi-Camera View Based Proactive BS Selection and Beam Switching for V2X
Due to the short wavelength and large attenuation of millimeter-wave
(mmWave), mmWave BSs are densely distributed and require beamforming with high
directivity. When the user moves out of the coverage of the current BS or is
severely blocked, the mmWave BS must be switched to ensure the communication
quality. In this paper, we proposed a multi-camera view based proactive BS
selection and beam switching that can predict the optimal BS of the user in the
future frame and switch the corresponding beam pair. Specifically, we extract
the features of multi-camera view images and a small part of channel state
information (CSI) in historical frames, and dynamically adjust the weight of
each modality feature. Then we design a multi-task learning module to guide the
network to better understand the main task, thereby enhancing the accuracy and
the robustness of BS selection and beam switching. Using the outputs of all
tasks, a prior knowledge based fine tuning network is designed to further
increase the BS switching accuracy. After the optimal BS is obtained, a beam
pair switching network is proposed to directly predict the optimal beam pair of
the corresponding BS. Simulation results in an outdoor intersection environment
show the superior performance of our proposed solution under several metrics
such as predicting accuracy, achievable rate, harmonic mean of precision and
recall
2-(4-Methylphenyl)-5-[({[5-(4-methylphenyl)-1,3,4-thiadiazol-2-yl]sulfanyl}methyl)sulfanyl]-1,3,4-thiadiazole
In the title compound, C19H16N4S4, the molecules exhibit a butterfly conformation, where the thiadiazole and attached benzene rings in two wings are almost coplanar, with dihedral angles of 0.8 (3) and 0.9 (3)°, respectively, while the two thiadiazole rings form a dihedral angle of 46.3 (3)°
TaxThemis: Interactive mining and exploration of suspicious tax evasion group
Tax evasion is a serious economic problem for many countries, as it can
undermine the government' s tax system and lead to an unfair business
competition environment. Recent research has applied data analytics techniques
to analyze and detect tax evasion behaviors of individual taxpayers. However,
they failed to support the analysis and exploration of the uprising related
party transaction tax evasion (RPTTE) behaviors (e.g., transfer pricing), where
a group of taxpayers is involved. In this paper, we present TaxThemis, an
interactive visual analytics system to help tax officers mine and explore
suspicious tax evasion groups through analyzing heterogeneous tax-related data.
A taxpayer network is constructed and fused with the trade network to detect
suspicious RPTTE groups. Rich visualizations are designed to facilitate the
exploration and investigation of suspicious transactions between related
taxpayers with profit and topological data analysis. Specifically, we propose a
calendar heatmap with a carefully-designed encoding scheme to intuitively show
the evidence of transferring revenue through related party transactions. We
demonstrate the usefulness and effectiveness of TaxThemis through two case
studies on real-world tax-related data, and interviews with domain experts.Comment: 11 pages, 7 figure
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