3,761 research outputs found
Local implementation of nonlocal operations of block forms
We investigate the local implementation of nonlocal operations with the block
matrix form, and propose a protocol for any diagonal or offdiagonal block
operation. This method can be directly generalized to the two-party multiqubit
case and the multiparty case. Especially, in the multiparty cases, any diagonal
block operation can be locally implemented using the same resources as the
multiparty control-U operation discussed in Ref. [Eisert et al., Phys. Rev. A
62, 052317(2000)]. Although in the bipartite case, this kind of operations can
be transformed to control-U operation using local operations, these
transformations are impossible in the multiparty cases. We also compare the
local implementation of nonlocal block operations with the remote
implementation of local operations, and point out a relation between them.Comment: 7 pages, 3 figure
A 8-neighbor model lattice Boltzmann method applied to mathematical-physical equations
© 2016. This version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/A lattice Boltzmann method (LBM) 9-bit model is presented to solve mathematical-physical equations, such as, Laplace equation, Poisson equation, Wave equation and Burgers equation. The 9-bit model has been verified by several test cases. Numerical simulations, including 1D and 2D cases, of each problem are shown respectively. Comparisons are made between numerical predictions and analytic solutions or available numerical results from previous researchers. It turned out that the 9-bit model is computationally effective and accurate for all different mathematical-physical equations studied. The main benefits of the new model proposed is that it is faster than the previous existing models and has a better accuracy.Peer ReviewedPostprint (author's final draft
Numerical study of the 2D lid-driven triangular cavities based on the Lattice Boltzmann method
Numerical study of two dimensional lid driven triangular cavity flow is performed via using lattice Boltzmann method on low Reynolds numbers. The equilateral triangular cavity is the first geometry to be studied, the simulation is performed at Reynolds number 500 and the numerical prediction is compared with previous work done by other scholars. Several isosceles triangular cavities are studied at different initial conditions, Reynolds numbers ranging from 100 to 3000, regardless of the geometry studied, the top lid is always moving from left to right and the driven velocity remains constant. Results are also compared with previous work performed by other scholars, the agreement is very good. According to the authors’ knowledge, this is the first time that MRT-LBM model is used to simulate the flow inside the triangular cavities. One of the advantages of this method is that it is capable of producing at low and high Reynolds numbers.Peer ReviewedPostprint (published version
Collaboration based Multi-Label Learning
It is well-known that exploiting label correlations is crucially important to
multi-label learning. Most of the existing approaches take label correlations
as prior knowledge, which may not correctly characterize the real relationships
among labels. Besides, label correlations are normally used to regularize the
hypothesis space, while the final predictions are not explicitly correlated. In
this paper, we suggest that for each individual label, the final prediction
involves the collaboration between its own prediction and the predictions of
other labels. Based on this assumption, we first propose a novel method to
learn the label correlations via sparse reconstruction in the label space.
Then, by seamlessly integrating the learned label correlations into model
training, we propose a novel multi-label learning approach that aims to
explicitly account for the correlated predictions of labels while training the
desired model simultaneously. Extensive experimental results show that our
approach outperforms the state-of-the-art counterparts.Comment: Accepted by AAAI-1
Optimal Posted Prices for Online Cloud Resource Allocation
We study online resource allocation in a cloud computing platform, through a
posted pricing mechanism: The cloud provider publishes a unit price for each
resource type, which may vary over time; upon arrival at the cloud system, a
cloud user either takes the current prices, renting resources to execute its
job, or refuses the prices without running its job there. We design pricing
functions based on the current resource utilization ratios, in a wide array of
demand-supply relationships and resource occupation durations, and prove
worst-case competitive ratios of the pricing functions in terms of social
welfare. In the basic case of a single-type, non-recycled resource (i.e.,
allocated resources are not later released for reuse), we prove that our
pricing function design is optimal, in that any other pricing function can only
lead to a worse competitive ratio. Insights obtained from the basic cases are
then used to generalize the pricing functions to more realistic cloud systems
with multiple types of resources, where a job occupies allocated resources for
a number of time slots till completion, upon which time the resources are
returned back to the cloud resource pool
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Forms of capital and career benefits of the MBA in china and the UK
This paper sets out the results of a research project which compares benefits from the MBA in China and the UK. Drawing on and modifying Bourdieu’s forms of capital theory, it highlights areas of commonality and difference. In particular it demonstrates that some forms of capital (e.g. institutional, social) transcend national boundaries and are equally valued in both contexts. Significant differences emerge within categories of cultural capital with Chinese respondents placing a higher value on more technical and UK respondents placing a higher value on personal and interpersonal skill components. Implications for the transferability of Western based management education to China are evaluated and discussed
Multi-particle and High-dimension Controlled Order Rearrangement Encryption Protocols
Based on the controlled order rearrange encryption (CORE) for quantum key
distribution using EPR pairs[Fu.G.Deng and G.L.Long Phys.Rev.A68 (2003)
042315], we propose the generalized controlled order rearrangement encryption
(GCORE) protocols of qubits and qutrits, concretely display them in the
cases using 3-qubit, 2-qutrit maximally entangled basis states. We further
indicate that our protocols will become safer with the increase of number of
particles and dimensions. Moreover, we carry out the security analysis using
quantum covariant cloning machine for the protocol using qutrits. Although the
applications of the generalized scheme need to be further studied, the GCORE
has many distinct features such as great capacity and high efficiency
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