Quantum parameter estimation using multi-mode Gaussian states

Quantum parameter estimation using general single-mode Gaussian states

Parameter Estimation in Spatial Generalized Linear Mixed Models with Skew Gaussian Random Effects using Laplace Approximation

 Spatial generalized linear mixed models are used commonly for modelling non-Gaussian discrete spatial responses. We present an algorithm for parameter estimation of the models using Laplace approximation of likelihood function. In these models, the spatial correlation structure of data is carried out by random effects or latent variables. In most spatial analysis, it is assumed that rando...

Three-mode Gaussian states in quantum information with continuous variables

The structural aspects of tripartite entanglement in three-mode Gaussian states of continuous variable systems have been studied in [Adesso G, Serafini A and Illuminati F 2006 Phys. Rev. A 73 032345]. Here we focus our attention on the usefulness of such states in the context of realistic processing of continuous-variable quantum information. We introduce and discuss in detail several examples ...

DLR’s multi-mode airborne SAR campaigns for environmental parameter estimation

The main focus of this paper is to present application results obtained form airborne campaigns in preparation to future European and International space borne SAR missions that were performed in the last 3 years with the DLR’s multi-mode Experimental SAR (E-SAR) system. During the last decade airborne repeat-pass SAR interferometry has become the most demanded technique for the development of ...

One-mode quantum Gaussian channels

A classification of one-mode Gaussian channels is given up to canonical unitary equivalence. A complementary to the quantum channel with additive classical Gaussian noise is described providing an example of onemode Gaussian channel which is neither degradable nor anti-degradable. 1 The canonical form For a mathematical framework of linear Bosonic system used in this note the reader is referred...