mixed Gaussian continuous states
Gaussian interferometric power as a measure of continuous variable non Markovianity
... local Gaussian channel by using two-mode probes which exhibit quantum correlations beyond entanglement ...two-mode Gaussian states: mixed thermal states (MTSs), which are always ...
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Continuous variable versus hybrid schemes for quantum teleportation of Gaussian states
... resource states would indeed be most typically mixed nonmaximally entangled two-qubit states for the AR case and two-mode squeezed thermal states for the VBK ...
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Purity of Gaussian states: Measurement schemes and time evolution in noisy channels
... exploit Gaussian states for quantum infor- mation and quantum measurement schemes must, however, face the obvious difficulty that pure states are unavoidably corrupted by the interaction with the ...
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Quantum correlations in continuous variable mixed states : from discord to signatures
... A Gaussian state is always fully described by its first two statistical moments, which is why the Wigner function depends only on ...non-Gaussian states, where all the statistical moments must be ...
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Hardness Estimation of LWE via Band Pruning
... This paper, examining the hardness of the search LWE problem, is a refined continuation of previous works including (Lindner-Peikert 2011, Liu-Nguyen 2013, Aono et al. 2013) using lattice reduction and lattice vector ...
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Quantum discord, EPR steering and Bell-type correlations for secure CV quantum communications
... the states that exhibit Bell-type correlations are a subset of EPR steerable states, and steerable states are a strict subset of entangled states ...the Gaussian states where ...
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A Model for Suppresion of Mixed Gaussian-Impulse Noise In VOIP Systems Avila Vincent, Anshad A.S Abstract PDF IJIRMET160406003
... the presence of small dense Gaussian noise in VoIP systems. We propose the RTFD model to represent degraded speeches. Then we develop the DOMP algorithm to more precisely solve the RTFD model.In the DOMP ...
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Restoration of Images Corrupted by Mixed Gaussian Impulse Noise with Weighted Encoding
... White Gaussian Noise (AWGN), Impulse Noise (IN) and combination of both called as “mixed ...of mixed noise from the original image is critical and challenging ...the mixed noise from the ...
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nbw013.pdf
... We examine the relationship between Mixed Data Sampling (MIDAS) regressions and the estimation of state space models applied to mixed frequency data. While in some cases the binding function is known, in ...
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Quantum benchmarks for pure single mode Gaussian states
... quantum states realized on different physical systems has been impressive ...ing continuous variable (CV) systems [28,29], where states having an infinite-dimensional support, such as coherent and ...
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Gaussian Variational Approximate Inference for Generalized Linear Mixed Models
... The analysis of Lesaffre & Spiessens (2001) on the Toenail dataset found that parameter esti- mates could vary significantly even amongst several Gauss-Hermite quadrature approxima- tions. Hence it is not surprising ...
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Genuine multipartite nonlocality of permutationally invariant Gaussian states
... thermal states of quantized electromagnetic fields, are the theoretical pillars and the resources of choice for a number of applications in quantum information with continuous vari- ables ...tripartite ...
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Mixed strategy learning with continuous action sets
... research has focused on situations where each player’s controls comprise a finite set. However, the assumption of discrete action sets is frequently problematic in control, engineering and economics: after all, prices ...
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The Continuous Hidden Threshold Mixed Skew Symmetric Distribution
... Univariate skew-symmetric distributions have been studied by several authors. Azzalini (1985,1986) introduced the skew-normal (SN) distribution as a continuous extension of the normal distribution which ...
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Systematic Development of Hybrid Systems
... i.e. mixed discrete and continuous, embedded systems is presented and used to point out where the results of the thesis support the develop- ment of hybrid ...abstract continuous time scale to an ...
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Eigenvectors of the Discrete Fourier Transform Based on the Bilinear Transform
... as its bilinear discrete equivalent to discretize the Hermite- Gaussian differential equation. Since the bilinear transform maps the analog domain to the discrete domain one-to-one, we find eigenvectors which are ...
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A Comparative Study of Noising And Denoising Technique In Image Processing
... following Gaussian probability density and introduce in the image at the time of acquiring of ...follows Gaussian distribution and hence in common it can be removed nearby averaging ...removing ...
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Hierarchical Dirichlet Gaussian Marked Hawkes Process for Narrative Reconstruction in Continuous Time Domain
... Narrative reconstruction: To demonstrate the narrative reconstruction performance of our model, we apply the inference method to our cor- pus of NYT articles. We use a set of multiple keywords of each article as the ...
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Weighted Encoding Technique for Removal of Mixed Noise in an Image
... The ascending median vector value is also used for noise detection. The noise is identified by the difference between value of pixel and the threshold value. Using advanced version of bilateral filter [5], the filter is ...
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On bandlimited signals with minimal product of effective spatial and spectral widths
... the Gaussian function is the only signal that has the lowest ...the Gaussian function is not bandlimited, no bandlimited signal can have the lowest ...a Gaussian signal (with σ as the variance ...
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