Entanglement, one of the central mysteries of quantum mechanics, plays an essential role in numerous tasks of quantum information science. A natural question of both theoretical and experimental importance is whether ...
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Entanglement, one of the central mysteries of quantum mechanics, plays an essential role in numerous tasks of quantum information science. A natural question of both theoretical and experimental importance is whether universal entanglement detection can be accomplished without full state tomography. In this Letter, we prove a no-go theorem that rules out this possibility for nonadaptive schemes that employ single-copy measurements only. We also examine a previously implemented experiment [H. Park et al., Phys. Rev. Lett. 105, 230404 (2010)], which claimed to detect entanglement of two-qubit states via adaptive single-copy measurements without full state tomography. In contrast, our simulation and experiment both support the opposite conclusion that the protocol, indeed, leads to full state tomography, which supplements our no-go theorem. These results reveal a fundamental limit of single-copy measurements in entanglement detection and provide a general framework of the detection of other interesting properties of quantum states, such as the positivity of partial transpose and the k-symmetric extendibility.
This paper present a distributed test suite execution in term of code coverage analysis for testing a t-way test suite data using tuple space technology with Map and Reduce mechanism. The generated t-way test suite da...
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The vision of 21st century computing is that users can access Internet services over lightweight portable devices rather than via variants of the traditional desktop computer. Consequently, users will have no interest...
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With the advancement of technology in communication network, it facilitated digital medical images transmitted to healthcare professional via internal network or public network (e.g. Internet). Consequently, digital m...
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A neural network based switched beam smart antenna has been proposed. A feed-forward back propagation artificial neural network (FFBPANN) was applied in antenna beam switching. The network takes samples of the calibra...
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The vision of 21 st century computing is that users can access Internet services over lightweight portable devices rather than via variants of the traditional desktop computer. Consequently, users will have no intere...
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The vision of 21 st century computing is that users can access Internet services over lightweight portable devices rather than via variants of the traditional desktop computer. Consequently, users will have no interest in large, powerful machines. How, then, will computing power be provided? The answer to this question lies in cloud computing. Cloud computing is a recent trend in IT in which computing power and knowledge are moved away from the desktop and desktop PCs into giant datacenters. In the cloud computing paradigm, applications are delivered as services over the Internet. The key driving forces behind cloud computing are the presence of broadband and wireless networking, falling storage prices, and progressive enhancements in Internet computing software packages. Cloud service shoppers can add additional capabilities at peak demand, reduce prices, experiment with new services, and remove unessential capabilities. Service suppliers can increase utilization via multiplexing and allow for larger investments in software packages and hardware.
It is vital that our curriculum motivates and inspires the scientists of the future. With careful planning and a measure of rigor, integrated learning can be particularly motivating. Bringing subjects together to addr...
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It is vital that our curriculum motivates and inspires the scientists of the future. With careful planning and a measure of rigor, integrated learning can be particularly motivating. Bringing subjects together to address a problem that students see as 'real' can excite them. Virtual Reality(VR) offers teachers and students unique experiences that are consistent with successful instructional strategies: handson learning, group projects and discussions, field trips, simulations, and concept visualization. Within the limits of system functionality, we can create anything imaginable and then become part of *** VR learning environment is experiential and intuitive;it is a shared information context that offers unique interactivity and can be configured for individual learning and performance *** Universiti Malaysia Pahang, we use EON Creator to embed VR in primary school education to increase the understanding of science concept.
The performance of Ad hoc routing protocol always has been measured by using free-space model and Two-ray ground model. But these two models are very simple and can't represent real world propagation, because they...
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ISBN:
(纸本)9781479938599
The performance of Ad hoc routing protocol always has been measured by using free-space model and Two-ray ground model. But these two models are very simple and can't represent real world propagation, because they ignored the effect of obstacles in their environment representation. So the most real models is shadowing propagation model which has taken all these factors in account. This paper explains the effect of using two types of propagation models which are: Two Ray Ground model and shadowing model for two important protocols such as Destination Sequenced Distance Vector (DSDV) and Optimized Link Status Routing (OLSR), which are considered a proactive and Table Driven routing protocols and then different performance metrics has been measured. The simulations results have shown that the type of the propagation model has great impact on routing protocol, and it has effected severely on its performance.
Optimization problem relates to finding the best solution from all feasible solutions. Over the last 30 years, many meta-heuristic algorithms have been developed in the literature including that of Simulated Annealing...
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Optimization problem relates to finding the best solution from all feasible solutions. Over the last 30 years, many meta-heuristic algorithms have been developed in the literature including that of Simulated Annealing (SA), Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Harmony Search Algorithm (HS) to name a few. In order to help engineers make a sound decision on the selection amongst the best meta-heuristic algorithms for the problem at hand, there is a need to assess the performance of each algorithm against common case studies. Owing to the fact that they are new and much of their relative performance are still unknown (as compared to other established meta-heuristic algorithms), Bacterial Foraging Optimization Algorithm (BFO) and Bat Algorithm (BA) have been adopted for comparison using the 12 selected benchmark functions. In order to ensure fair comparison, both BFO and BA are implemented using the same data structure and the same language and running in the same platform (i.e. Microsoft Visual C# with .Net Framework 4.5). We found that BFO gives more accurate solution as compared to BA (with the same number of iterations). However, BA exhibits faster convergence rate.
software products are getting increasingly complex described by a large number of requirements that characterize the user needs. In most cases, not all requirements can usually be met with available time and resource ...
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software products are getting increasingly complex described by a large number of requirements that characterize the user needs. In most cases, not all requirements can usually be met with available time and resource constraints; therefore, taking correct decisions about which requirements to implement in a release is crucial as the wrong decision from requirements engineers results in implementation of the false requirements, which lead to failure of project or product in the market. Although much research is done on requirements prioritization techniques, but studies in the area pointed out that when investigating the research made within the area, there seems to be little evidence regarding which approach is better than others and in what situations and environments. This paper presents an initial design of a controlled experiment to compare three prioritization methods. The goal of this experiment is to investigate which technique is better in terms of time consumption, accuracy, and ease of use. The experiment will be conducted in an academic context in Malaysian university.
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