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Related papers: Deep Learning and AdS/CFT

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We investigate a new approach to holography in asymptotically AdS spacetimes, in which time rather than space is the emergent dimension. By making a sufficiently large T^2-deformation of a Euclidean CFT, we define a holographic theory that…

High Energy Physics - Theory · Physics 2023-03-22 Goncalo Araujo-Regado , Rifath Khan , Aron C. Wall

We study deformations of the model by Henneaux, Mart\'inez, Troncoso and Zanelli [arXiv:hep-th/0201170] which features asymptotically AdS$_3$ black hole solutions that incorporate the exact backreaction of a scalar field. The presence of…

High Energy Physics - Theory · Physics 2025-12-25 Nele Callebaut , Blanca Hergueta , Ruben Monten , Matteo Selle

Quantum many-body problem with exponentially large degrees of freedom can be reduced to a tractable computational form by neural network method \cite{CT}. The power of deep neural network (DNN) based on deep learning is clarified by mapping…

General Relativity and Quantum Cosmology · Physics 2017-11-22 Wen-Cong Gan , Fu-Wen Shu

We study the holographic principle in the brane cosmology. Especially we describe how to accommodate the 5D anti de Sitter Schwarzschild (AdSS$_5$) black hole in the Binetruy-Deffayet-Langlois (BDL) approach of brane cosmology. It is easy…

High Energy Physics - Theory · Physics 2014-11-18 N. J. Kim , H. W. Lee , Y. S. Myung , Gungwon Kang

Geometric deep learning (GDL), which is based on neural network architectures that incorporate and process symmetry information, has emerged as a recent paradigm in artificial intelligence. GDL bears particular promise in molecular modeling…

Chemical Physics · Physics 2022-01-03 Kenneth Atz , Francesca Grisoni , Gisbert Schneider

This paper investigates the foundations of deep learning through insight of geometry, algebra and differential calculus. At is core, artificial intelligence relies on assumption that data and its intrinsic structure can be embedded into…

Differential Geometry · Mathematics 2025-10-22 Tsemo Aristide

The Anti-de Sitter/Conformal Field Theory correspondence (AdS/CFT) is one of the most significant findings in theoretical physics and forms the basis of this thesis. Although highly powerful, the main limitation of AdS/CFT is that AdS does…

High Energy Physics - Theory · Physics 2025-12-30 Mattia Arundine

We approach the problem of constructing an explicit holographic dictionary for the AdS$_2$/CFT$_1$ correspondence in the context of higher derivative gravitational actions in AdS$_2$ space-times. These actions are obtained by an $S^2$…

High Energy Physics - Theory · Physics 2021-04-20 Pedro Aniceto , Gabriel Lopes Cardoso , Suresh Nampuri

The AdS/CFT correspondence relates certain strongly coupled CFTs with large effective central charge $c_\text{eff}$ to semi-classical gravitational theories with AdS asymptotics. We describe recent progress in understanding gravity duals…

High Energy Physics - Theory · Physics 2014-03-05 Donald Marolf , Mukund Rangamani , Toby Wiseman

We discuss recent results in the study of the evolution of strongly coupled field theories in the presence of time dependent couplings using the holographic correspondence. The aim is to understand (i) thermalization and (ii) universal…

High Energy Physics - Theory · Physics 2015-06-03 Sumit R. Das

It has been suggested that a $dS_{d+1}$ spacetime of radius $R_{ds}$ has a holographic dual, living at future space-like infinity ${\cal I}^+$, with the bulk wave function being dual to the partition function of the boundary theory,…

High Energy Physics - Theory · Physics 2025-05-27 Indranil Dey , Kanhu Kishore Nanda , Akashdeep Roy , Sandip P. Trivedi

We use the relation between certain diffeomorphisms in the bulk and Weyl transformations on the boundary to build the conformal structure of the metric in the presence of matter in the bulk. We explicitly obtain the conformal anomaly in any…

High Energy Physics - Theory · Physics 2013-10-23 Mozhgan Mir

Symbolic regression is a powerful technique that can discover analytical equations that describe data, which can lead to explainable models and generalizability outside of the training data set. In contrast, neural networks have achieved…

Machine Learning · Computer Science 2022-03-10 Samuel Kim , Peter Y. Lu , Srijon Mukherjee , Michael Gilbert , Li Jing , Vladimir Čeperić , Marin Soljačić

Deep neural networks have revolutionized machine learning, yet their training dynamics remain theoretically unclear-we develop a continuous-time, matrix-valued stochastic differential equation (SDE) framework that rigorously connects the…

Machine Learning · Computer Science 2026-02-10 Brian Richard Olsen , Sam Fatehmanesh , Frank Xiao , Adarsh Kumarappan , Anirudh Gajula

A concrete model of extracting the physics from the bulk of a gravitational universe is important to the study of quantum gravity and its possible relationship with experiments. Such a model can be constructed in the AdS/CFT correspondence…

High Energy Physics - Theory · Physics 2025-06-10 Hao Geng

Clarifying conditions for the existence of a gravitational picture for a given quantum field theory (QFT) is one of the fundamental problems in the AdS/CFT correspondence. We propose a direct way to demonstrate the existence of the dual…

High Energy Physics - Theory · Physics 2019-07-24 Koji Hashimoto , Shunichiro Kinoshita , Keiju Murata

The AdS/CFT correspondence allows us to map a dynamical cosmology to a dual quantum field theory living on the boundary of spacetime. Specifically, we study a five-dimensional model cosmology in type IIB supergravity, where the dual theory…

High Energy Physics - Theory · Physics 2013-05-30 Ben Craps , Thomas Hertog , Neil Turok

We study the formation, detection and coarse-graining of black holes in AdS/CFT, with an emphasis on the tension between boundary unitarity and the production of mixed state Hawking radiation in the bulk. We construct CFT states dual to…

High Energy Physics - Theory · Physics 2026-02-23 Jan de Boer , Jildou Hollander , Andrew Rolph

We show that training deep neural networks (DNNs) with absolute value activation and arbitrary input dimension can be formulated as equivalent convex Lasso problems with novel features expressed using geometric algebra. This formulation…

Machine Learning · Computer Science 2024-10-15 Emi Zeger , Mert Pilanci

We propose a family of exactly solvable toy models for the AdS/CFT correspondence based on a novel construction of quantum error-correcting codes with a tensor network structure. Our building block is a special type of tensor with maximal…

High Energy Physics - Theory · Physics 2015-07-23 Fernando Pastawski , Beni Yoshida , Daniel Harlow , John Preskill