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A new approach extending the concept of geometric phases to adiabatic open quantum systems described by density matrices (mixed states) is proposed. This new approach is based on an analogy between open quantum systems and dissipative…

Mathematical Physics · Physics 2011-08-31 David Viennot , Jose Lages

Yang-Mills-Higgs theory, being the standard-model Higgs sector for a suitable choice of gauge and custodial group, offers a rich set of physics. In particular, in some region of its parameter space it has QCD-like behavior, while in some…

High Energy Physics - Lattice · Physics 2015-06-24 Axel Maas , Tajdar Mufti

Let $G$ be an infinite, edge- and vertex-weighted graph with certain reasonable restrictions. We construct the heat kernel of the associated Laplacian using an adaptation of the parametrix approach due to Minakshisundaram-Pleijel in the…

Analysis of PDEs · Mathematics 2024-09-10 Jay Jorgenson , Anders Karlsson , Lejla Smajlović

We introduce a geometric construction of a gauge field theory of a complex adaptive system. It is based on a suitable simplicial formulation of a discrete geometry that manifests relevant properties valid in the classical differentiable…

Mathematical Physics · Physics 2025-09-03 Gueorgui M. Mihaylov , Sergio L. Cacciatori

The kinematic algebra of Yang-Mills theory can be understood in the framework of homotopy algebras: the $L_{\infty}$ algebra of Yang-Mills theory is the tensor product of the color Lie algebra and a kinematic space that carries a…

High Energy Physics - Theory · Physics 2024-09-02 Roberto Bonezzi , Christoph Chiaffrino , Olaf Hohm

This paper gives a construction, using heat kernels, of differential forms on the moduli space of metrised ribbon graphs, or equivalently on the moduli space of Riemann surfaces with boundary. The construction depends on a manifold with a…

Quantum Algebra · Mathematics 2014-11-11 Kevin J. Costello

In this talk, we discuss a number of recent calculations aimed at determining the spectral functions corresponding to various components of the energy momentum tensor in high-temperature SU(N) Yang-Mills theory. The computations reviewed…

High Energy Physics - Phenomenology · Physics 2013-01-16 Aleksi Vuorinen , Martin Krssak , Yan Zhu

We propose a new framework for simulating $\text{U}(k)$ Yang-Mills theory on a universal quantum computer. This construction uses the orbifold lattice formulation proposed by Kaplan, Katz, and Unsal, who originally applied it to…

High Energy Physics - Theory · Physics 2024-01-23 Alexander J. Buser , Hrant Gharibyan , Masanori Hanada , Masazumi Honda , Junyu Liu

We construct a gauge theory based on principal bundles $\mathcal{P}$ equipped with a right $\mathcal{G}$-action, where $\mathcal{G}$ is a Lie group bundle instead of a Lie group. Due to the fact that a $\mathcal{G}$-action acts fibre by…

Mathematical Physics · Physics 2025-05-02 Simon-Raphael Fischer

Geometric data analysis and learning has emerged as a distinct and rapidly developing research area, increasingly recognized for its effectiveness across diverse applications. At the heart of this field lies curvature, a powerful and…

Machine Learning · Computer Science 2025-10-28 Yasharth Yadav , Kelin Xia

Results regarding off-diagonal Gaussian upper heat kernel bounds on discrete weighted graphs with possibly unbounded geometry are summarized and related. After reviewing uniform upper heat kernel bounds obtained by Carlen, Kusuoka, and…

Analysis of PDEs · Mathematics 2025-02-28 Christian Rose

A method to reconstruct fields, source strengths and physical parameters based on Gaussian process regression is presented for the case where data are known to fulfill a given linear differential equation with localized sources. The…

Data Analysis, Statistics and Probability · Physics 2019-09-10 Christopher G. Albert

This work incorporates the multi-modality of the data distribution into a Gaussian Process regression model. We approach the problem from a discriminative perspective by learning, jointly over the training data, the target space variance in…

Machine Learning · Computer Science 2018-03-20 Silvia L. Pintea , Jan C. van Gemert , Arnold W. M. Smeulders

We present a new tool for data analysis: persistence discrete homology, which is well-suited to analyze filtrations of graphs. In particular, we provide a novel way of representing high-dimensional data as a filtration of graphs using…

Algebraic Topology · Mathematics 2025-06-23 Chris Kapulkin , Nathan Kershaw

An ansatz is presented for a possible non-associative deformation of the standard Yang-Mills type gauge theories. An explicit algebraic structure for the deformed gauge symmetry is put forward and the resulting gauge theory developed. The…

High Energy Physics - Theory · Physics 2011-08-17 A. Ritz , G. C. Joshi

We unify three approaches within the vast body of gauge-theory research that have independently developed distinct representations of a geometrical surface-like structure underlying the vector-potential. The three approaches that we unify…

High Energy Physics - Theory · Physics 2015-01-06 Scott T Alsid , Mario A Serna

The status of several representative gauge theories on various quantum space-times, mainly focusing on Yang-Mills type extensions together with a few matrix model formulations is overviewed. The common building blocks are derivation based…

High Energy Physics - Theory · Physics 2025-10-23 Jean-Christophe Wallet

We construct explicit BPS and non-BPS solutions of the Yang-Mills equations on noncommutative spaces R^{2n}_theta x G/H which are manifestly G-symmetric. Given a G-representation, by twisting with a particular bundle over G/H, we obtain a…

High Energy Physics - Theory · Physics 2008-11-26 Olaf Lechtenfeld , Alexander D. Popov , Richard J. Szabo

A specific class of gauge theories is geometrically described in terms of fermions. In particular, it is shown how the geometrical frame presented naturally includes spontaneous symmetry breaking of Yang-Mills gauge theories without making…

Mathematical Physics · Physics 2015-06-26 Juergen Tolksdorf , Torsten Thumstaedter

We explain the concepts of computational statistical physics which have proven very helpful in the study of Yang-Mills integrals, an ubiquitous new class of matrix models. Issues treated are: Absolute convergence versus Monte Carlo…

Statistical Mechanics · Physics 2007-05-23 Werner Krauth , Matthias Staudacher