We study the existence of absolutely maximally entangled (AME) states in quantum mechanics and its applications to quantum information. AME states are characterized by being maximally entangled for all bipartitions of...
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We study the existence of absolutely maximally entangled (AME) states in quantum mechanics and its applications to quantum information. AME states are characterized by being maximally entangled for all bipartitions of the system and exhibit genuine multipartite entanglement. With such states, we present a parallel teleportation protocol which teleports multiple quantum states between groups of senders and receivers. The notable features of this protocol are that (i) the partition into senders and receivers can be chosen after the state has been distributed, and (ii) one group has to perform joint quantum operations while the parties of the other group only have to act locally on their system. We also prove the equivalence between pure state quantum secret sharing schemes and AME states with an even number of parties.
In this paper,we derive in time domain the constitutive equation and relevant properties of the fractional order weighted distributed parameter Maxwell *** weight function can be replaced by the Fourier series,which l...
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In this paper,we derive in time domain the constitutive equation and relevant properties of the fractional order weighted distributed parameter Maxwell *** weight function can be replaced by the Fourier series,which leads to three types of fractional order distributed parameter *** inverse Laplace transformand asymptotic properties
This paper describes the implementation of Wavelet Transform and Spectral Energy analysis on samples of simulated voltage and current waveforms obtained from PSCAD/EMTDC for each of the all possible fault scenarios in...
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This paper presents modeling of the 500 kV transmission line located between Bang-Saphan 2 (BSP2) and Chom-Bung (CBG) substations, Thailand. The network is modeled based on the transient simulation program- PSCAD/EMTD...
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In this paper a new identification method for non-linear hybrid systems that have mixed continuous and discrete states by using fuzzy clustering and principal component analysis is described. The method first determin...
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We study the problem of finding the minimum-length curvature constrained closed path through a set of regions in the plane. This problem is referred to as the Dubins Traveling Salesperson Problem with Neighborhoods (D...
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A novel structure of fuzzy logic controller is presented for trajectory tracking and vibration control of a flexible joint manipulator. The rule base of fuzzy controller is divided into two sections. Each section incl...
A novel structure of fuzzy logic controller is presented for trajectory tracking and vibration control of a flexible joint manipulator. The rule base of fuzzy controller is divided into two sections. Each section includes two variables. The variables of first section are the error of tip angular position and the error of deflection angle, while the variables of second section are derivatives of mentioned errors. Using these structures, it would be possible to reduce the number of rules. Advantages of proposed fuzzy logic are low computational complexity, high interpretability of rules, and convenience in fuzzy controller. Implementing of the fuzzy logic controller on Quanser flexible joint reveals efficiency of proposed controller. To show the efficiency of this method, the results are compared with LQR method. In this paper, experimental validation of proposed method is presented.
This paper demonstrates the use of the Locality Sensitive Hashing technique operating in Euclidean metric space to build a data structure for Defense Meteorological Satellite Program (DMSP) satellite imagery database....
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Shape descriptors have been used frequently as features to characterize an image for classification and image retrieval tasks. The problem of recognizing classes of objects in images is important for annotation and in...
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In this study, intelligent control of human eye movements system for the emotional support by a huggable pet type robot via Gaussian RBF neural network based on sliding mode control is presented. Despite active resear...
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