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There are two methods to study families of conformal theories in the operator formalism. In the first method we begin with a theory and a family of deformed theories is defined in the state space of the original theory. In the other there…

High Energy Physics - Theory · Physics 2009-10-22 K. Ranganathan

We review a framework for the conformal bootstrap that does not rely on positivity and treats the infinite tower of high-dimension OPE contributions to conformal correlators through dispersion relations and neural networks. We apply it to…

High Energy Physics - Theory · Physics 2026-05-14 Vasilis Niarchos , Constantinos Papageorgakis

We define an infinite class of integrable theories with a defect which are formulated as chiral defect perturbations of a conformal field theory. Such theories can be interacting in the bulk, and are purely transmitting through the defect.…

High Energy Physics - Theory · Physics 2009-10-30 Robert Konik , Andre' LeClair

In this work, we study the supersymmetric warped conformal field theory in two dimensions. We show that the Hofman-Strominger theorem on symmetry enhancement could be generalized to the supersymmetric case. More precisely, we find that…

High Energy Physics - Theory · Physics 2020-09-30 Bin Chen , Peng-xiang Hao , Yan-jun Liu

Graph Neural Networks (GNNs) are neural models that leverage the dependency structure in graphical data via message passing among the graph nodes. GNNs have emerged as pivotal architectures in analyzing graph-structured data, and their…

Machine Learning · Computer Science 2024-03-19 Xu Zheng , Farhad Shirani , Tianchun Wang , Wei Cheng , Zhuomin Chen , Haifeng Chen , Hua Wei , Dongsheng Luo

Topological field theory in three dimensions provides a powerful tool to construct correlation functions and to describe boundary conditions in two-dimensional conformal field theories.

High Energy Physics - Theory · Physics 2007-05-23 J. Fuchs , I. Runkel , C. Schweigert

Neural Network Field Theories (NN-FTs) typically describe Generalized Free Fields that lack a local stress-energy tensor in two dimensions, obstructing the realization of Virasoro symmetry. We present the ``Log-Kernel'' (LK) architecture,…

High Energy Physics - Theory · Physics 2026-04-03 Brandon Robinson

Graph Neural Networks (GNNs) are able to achieve high classification accuracy on many important real world datasets, but provide no rigorous notion of predictive uncertainty. Quantifying the confidence of GNN models is difficult due to the…

Machine Learning · Statistics 2024-01-10 Jase Clarkson

We formulate conformal field theory in the setting of algebraic quantum field theory as Haag-Kastler nets of local observable algebras with diffeomorphism covariance on the two-dimensional Minkowski space. We then obtain a decomposition of…

Mathematical Physics · Physics 2007-05-23 Yasuyuki Kawahigashi

A comprehensive introduction to two-dimensional conformal field theory is given.

High Energy Physics - Theory · Physics 2014-11-18 Matthias R Gaberdiel

In the paper, we review the recent construction of the Liouville conformal field theory (CFT) from probabilistic methods, and the formalization of the conformal bootstrap. This model has offered a fruitful playground to unify the…

Mathematical Physics · Physics 2024-03-20 Colin Guillarmou , Antti Kupiainen , Rémi Rhodes

Using polarization spinor methods in conjunction with the superspace formalism, we construct 3-point superconformal invariants that are used to determine the form of 3-point correlators of spinning superfield operators in $\mathcal{N}=1$…

High Energy Physics - Theory · Physics 2025-02-24 Aditya Jain , Amin A. Nizami

A statistical ensemble of neural networks can be described in terms of a quantum field theory (NN-QFT correspondence). The infinite-width limit is mapped to a free field theory, while finite N corrections are mapped to interactions. After…

High Energy Physics - Theory · Physics 2022-12-23 Harold Erbin , Vincent Lahoche , Dine Ousmane Samary

Conformal field theories (CFTs) in Euclidean signature satisfy well-accepted rules, such as conformal invariance and the convergent Euclidean operator product expansion (OPE). Nowadays, it is common to assume that CFT correlators exist and…

High Energy Physics - Theory · Physics 2022-09-02 Jiaxin Qiao

In this paper I discuss the formation of topological defects in quantum field theory and the relation between fractals and coherent states. The study of defect formation is particularly useful in the understanding of the same mathematical…

High Energy Physics - Theory · Physics 2008-08-22 Giuseppe Vitiello

Defect conformal field theories (dCFTs) have been attracting increased attention recently, mainly because they enable us to bridge the gap between idealistic, highly symmetric models of our world (such as the particle/string duality) and…

High Energy Physics - Theory · Physics 2020-08-20 Georgios Linardopoulos

We study the correlation functions of logarithmic conformal field theories. First, assuming conformal invariance, we explicitly calculate two-- and three-- point functions. This calculation is done for the general case of more than one…

High Energy Physics - Theory · Physics 2015-06-26 M. R. Rahimi Tabar , A. Aghamohammadi , M. Khorrami

The goal of these notes is to give a brief explanation of how electric-magnetic duality in four dimensions is related to the existence of an unusual conformal field theory in six dimensions.

Representation Theory · Mathematics 2008-02-07 Edward Witten

In this paper we begin mapping out the space of rank-2 $\mathcal{N}=2$ superconformal field theories (SCFTs) in four dimensions. This represents an ideal set of theories which can be potentially classified using purely quantum…

High Energy Physics - Theory · Physics 2022-08-10 Mario Martone

We discuss the geometrical connection between 2D conformal field theories, random walks on hyperbolic Riemann surfaces and knot theory. For the wide class of CFTs with monodromies being the discrete subgroups of SL(2,R), the determination…

High Energy Physics - Theory · Physics 2015-06-26 Michael Monastyrsky , Sergei Nechaev
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