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Autori principali: Bunao, Joseph, Frisoni, Pietropaolo, Kogios, Athanasios, Wogan, Jared
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2407.19036
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author Bunao, Joseph
Frisoni, Pietropaolo
Kogios, Athanasios
Wogan, Jared
author_facet Bunao, Joseph
Frisoni, Pietropaolo
Kogios, Athanasios
Wogan, Jared
contents Spin foams arose as the covariant (path integral) formulation of quantum gravity depicting transition amplitudes between different quantum geometry states. As such, they provide a scheme to study the no boundary proposal, specifically the nothing to something transition and compute relevant observables using high performance computing (HPC). Following recent advances, where stochastic algorithms (Markov Chain Monte Carlo-MCMC) were used, we employ Generative Flow Networks, a newly developed machine learning algorithm to compute the expectation value of the dihedral angle for a 4-simplex and compare the results with previous works.
format Preprint
id arxiv_https___arxiv_org_abs_2407_19036
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Generative Flow Networks in Covariant Loop Quantum Gravity
Bunao, Joseph
Frisoni, Pietropaolo
Kogios, Athanasios
Wogan, Jared
General Relativity and Quantum Cosmology
High Energy Physics - Theory
Computational Physics
Spin foams arose as the covariant (path integral) formulation of quantum gravity depicting transition amplitudes between different quantum geometry states. As such, they provide a scheme to study the no boundary proposal, specifically the nothing to something transition and compute relevant observables using high performance computing (HPC). Following recent advances, where stochastic algorithms (Markov Chain Monte Carlo-MCMC) were used, we employ Generative Flow Networks, a newly developed machine learning algorithm to compute the expectation value of the dihedral angle for a 4-simplex and compare the results with previous works.
title Generative Flow Networks in Covariant Loop Quantum Gravity
topic General Relativity and Quantum Cosmology
High Energy Physics - Theory
Computational Physics
url https://arxiv.org/abs/2407.19036