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Related papers: Geometric approach to sampling and communication

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The geometric quantization problem is considered from the point of view of the Davies and Lewis approach to quantum mechanics. The influence of the measuring device is accounted in the classical and quantum case and it is shown that the…

Quantum Physics · Physics 2007-05-23 B. A. Nikolov , D. A. Trifonov

This paper is a contribution to the development of a framework, to be used in the context of semiclassical canonical quantum gravity, in which to frame questions about the correspondence between discrete spacetime structures at "quantum…

General Relativity and Quantum Cosmology · Physics 2009-11-10 Luca Bombelli , Alejandro Corichi , Oliver Winkler

Systems with dissipation can be described using contact geometry. We introduce the concepts of symmetries and dissipation laws for contact Hamiltonian systems and study the relation between them. This is an ongoing collaboration with Xavier…

Mathematical Physics · Physics 2020-03-09 Jordi Gaset

Survey sampling theory and methods are introduced. Sampling designs and estimation methods are carefully discussed as a textbook for survey sampling. Topics includes Horvitz-Thompson estimation, simple random sampling, stratified sampling,…

Methodology · Statistics 2024-12-03 Jae Kwang Kim

It is shown that for any ensemble, whether classical or quantum, continuous or discrete, there is only one measure of the "volume" of the ensemble that is compatible with several basic geometric postulates. This volume measure is thus a…

Data Analysis, Statistics and Probability · Physics 2009-10-31 Michael J. W. Hall

This survey gives an overview over different techniques used for pixel-level semantic segmentation. Metrics and datasets for the evaluation of segmentation algorithms and traditional approaches for segmentation such as unsupervised methods,…

Computer Vision and Pattern Recognition · Computer Science 2016-05-13 Martin Thoma

We review the definition of geometric quantization, which begins with defining a mathematical framework for the algebra of observables that holds equally well for classical and quantum mechanics. We then discuss prequantization, and go into…

Mathematical Physics · Physics 2007-05-23 William Gordon Ritter

Gaussian states, operations, and measurements are central building blocks for continuous-variable quantum information processing which paves the way for abundant applications, especially including network-based quantum computation and…

Quantum Physics · Physics 2021-07-06 Mengzhen Zhang

An overview of new 4d supersymmetric gauge theories with 2-form gauge potentials constructed by various authors during the past five years is given. The key role of three particular types of interaction vertices is emphasized. These…

High Energy Physics - Theory · Physics 2007-05-23 Friedemann Brandt

Bosonization of the gauged, massive Thirring model in 2+1-dimensions produces a Maxwell-Chern-Simons gauge theory, coupled to a dynamical, massive vector field. Exploiting the Master Lagrangian formalism, two dual theories are constructed,…

High Energy Physics - Theory · Physics 2007-05-23 Subir Ghosh

We recall the question of geometric integrators in the context of Poisson geometry, and explain their construction. These Poisson integrators are tested in some mechanical examples. Their properties are illustrated numerically and they are…

Numerical Analysis · Mathematics 2023-03-29 Oscar Cosserat , Camille Laurent-Gengoux , Vladimir Salnikov

Information delivery using chemical molecules is an integral part of biology at multiple distance scales and has attracted recent interest in bioengineering and communication theory. Potential applications include cooperative networks with…

Information Theory · Computer Science 2017-09-05 Yansha Deng , Adam Noel , Weisi Guo , Arumugam Nallanathan , Maged Elkashlan

Probabilistic graphical models allow us to encode a large probability distribution as a composition of smaller ones. It is oftentimes the case that we are interested in incorporating in the model the idea that some of these smaller…

Artificial Intelligence · Computer Science 2021-11-17 Jesus Cerquides

Gauge theory underpins the quantum field theories of the standard model, and in a previous paper was shown via a geometric approach to describe classical electromagnetism in a form which approximates QED. Here we formalize and generalize…

General Physics · Physics 2024-10-03 Adam Marsh

This manuscript provides a general approach to the investigation of field quantization in high-curvature geometries. The models and calculations can help with understanding the elastic and inelastic scattering of photons and electrons in…

Mesoscale and Nanoscale Physics · Physics 2019-06-07 Maryam Bagherian

Gaussian quantum channels are well understood and have many applications, e.g., in Quantum Information Theory and in Quantum Optics. For more general quantum channels one can in general use semiclassical approximations or perturbation…

Quantum Physics · Physics 2023-05-16 Daniel Speed , Wenyang Lyu , Roman Schubert

The correspondence principle in physics between quantum mechanics and classical mechanics suggests deep relations between spectral and geometric entities of Riemannian manifolds. We survey---in a way intended to be accessible to a wide…

Dynamical Systems · Mathematics 2020-11-20 A. Pohl , D. Zagier

The process of scattering of fast charged particles in thin crystals is considered in the transitional range of thicknesses, between those at which the channeling phenomenon is not developed and those at which it is realized. The…

Accelerator Physics · Physics 2019-03-27 N. F. Shul'ga , S. N. Shulga

This paper presents a geometric approach to the problem of modelling the relationship between words and concepts, focusing in particular on analogical phenomena in language and cognition. Grounded in recent theories regarding geometric…

Computation and Language · Computer Science 2016-08-05 Stephen McGregor , Matthew Purver , Geraint Wiggins

High dimensional data analysis is known to be as a challenging problem. In this article, we give a theoretical analysis of high dimensional classification of Gaussian data which relies on a geometrical analysis of the error measure. It…

Statistics Theory · Mathematics 2008-07-10 Robin Girard
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