Deep learning and the ads/cft correspondence
WebThe AdS/CFT correspondence is one of the most significant results that string theory has produced. It refers to the existence of amazing dualities between theories with gravity and theories without gravity, and is also sometimes referred to as the gauge theory/gravity correspondence. WebDec 23, 2014 · 1 Introduction and Motivation. The AdS/CFT correspondence is a duality relating quantum field theory (QFT) and gravity. More precisely, the correspondence relates the quantum …
Deep learning and the ads/cft correspondence
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WebMay 14, 2024 · The "AdS" in the AdS/CFT correspondence stands for "anti-de Sitter," which doesn't explain much at first glance. The name was inspired by Willem de Sitter, a physicist and mathematician who... WebFeb 7, 2024 · Deep learning is a subset of machine learning and is a discipline within AI that uses algorithms mimicking the human brain. Deep learning algorithms use neural …
WebOne of the nest achievements of string theory in the last decade is the AdS/CFT correspondence and the use of holography to investigate strongly coupled quantum eld theories. One crucial aspect of the correspondence is the possibility of comput- ing quantum e ects in a strongly coupled eld theory using a classical gravitational theory. Webneural network in deep learning [2–4] for modeling ... The AdS=CFT correspondence is a holographic duality between a (d þ1)-dimensional quantum gravity and a d-dimensional quantum field theory
WebFeb 22, 2024 · We present a deep neural network representation of the AdS/CFT correspondence, and demonstrate the emergence of the bulk metric function via the learning process for given data sets of response in boundary quantum field theories. ... in unknown curved spacetime with a black hole horizon, we demonstrate our deep … WebFeb 22, 2024 · We present a deep neural network representation of the AdS/CFT correspondence, and demonstrate the emergence of the bulk metric function via the …
WebDeep learning for pollution modelling and forecasting, using traffic and weather data, replacing an expensive PDE-based model with a scalable …
WebFeb 22, 2024 · We present a deep neural network representation of the AdS/CFT correspondence, and demonstrate the emergence of the bulk metric function via the … notion hourly schedule templateWebWe present a deep neural network representation of the AdS/CFT correspondence, and demon-strate the emergence of the bulk metric function via the learning process for … notion householdWebThe advantage of the deep learning method is that it can provideasystematicapproachtodeterminethegravitydual from a given dataset of the QFT … notion hostsWebWe present a deep neural network representation of the AdS/CFT correspondence, and demonstrate the emergence of the bulk metric function via the learning process for … how to share mac screen remotelyWebThe AdS/CFT correspondence is one of the most exciting discoveries in theoretical physics of the past 20 years, providing a framework in which it is possible to study strongly … notion hotkeysWebAug 27, 2024 · We present a deep neural network representation of the AdS/CFT correspondence, and demonstrate the emergence of the bulk metric function via the … notion house cleaning templateWeb4 rows · We present a deep neural network representation of the AdS=CFT correspondence, and demonstrate ... notion how to archive