496 research outputs found
Tetrahedron genuine entanglement measure of four-qubit systems
Quantifying genuine entanglement is a key task in quantum information theory.
We study the quantification of genuine multipartite entanglement for four-qubit
systems. Based on the concurrence of nine different classes of four-qubit
states, with each class being closed under stochastic local operation and
classical communication, we construct a concurrence tetrahedron. Proper genuine
four-qubit entanglement measure is presented by using the volume of the
concurrence tetrahedron. For non genuine entangled pure states, the four-qubit
entanglement measure classifies the bi-separable entanglement. We show that the
concurrence tetrahedron based measure of genuine four-qubit entanglement is not
equivalent to the genuine four-partite entanglement concurrence. We illustrate
the advantages of the concurrence tetrahedron by detailed examples.Comment: 23 pages, 4 figure
3,4-O-(2,3-DimethoxyÂbutane-2,3-diÂyl)-S-(4-methylÂphenÂyl)-1-thia-α-d-mannoÂpyranÂoside
In the title molÂecule, C19H28O7S, the six-membered mannoÂpyranÂoside and dioxane rings both display typical chair conformations. In the crystal structure, the hydrÂoxy groups are involved in interÂmolecular hydrogen bonds, which link the molÂecules into chains extended along the b axis
Adaptive NN Control for Multisteering Plane Aircraft with Dead Zone or Backlash Input Nonlinearity
Considering that many factors such as actuator input dead zone, backlash, and external disturbance could affect the exactness of trajectory tracking, therewith a robust adaptive neural network control scheme on the basis of control allocation is proposed for the sake of tracking control of multisteering plane aircraft with actuator input dead zone or backlash nonlinearity. First of all, an actuator input dead zone or backlash nonlinearity control assignment model is established and the control allocation equation is derived. Secondly, the system nonlinear uncertainty is compensated by means of radial basis function neural network, and a robust term is introduced to achieve robustness against external disturbance and system errors. Finally, by utilizing Lyapunov stability theorem, it has been proved that all the signals in the closed-loop system are bounded, and the tracking error converges to a small residual set asymptotically. Simulation results on ICE101 multisteering plane aircraft demonstrate the outstanding tracking performance and strong robustness as well as effectiveness of the proposed approach, which can effectively overcome the adverse influence of dead zone, backlash nonlinearity, and external disturbance on the system
Radiative transitions in charmonium from twisted mass lattice QCD
We present a study for charmonium radiative transitions:
, and
using twisted mass lattice QCD gauge
configurations. The single-quark vector form factors for and
are also determined. The simulation is performed at a lattice
spacing of fm and the lattice size is . After
extrapolation of lattice data at nonzero to 0, we compare our results
with previous quenched lattice results and the available experimental values.Comment: typeset with revtex, 15 pages, 11 figures, 4 table
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