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• W4376114449 abstract "We introduce a strategy to compute EPRL spin foam amplitudes with many internal faces numerically. We work with sl2cfoam-next, the state-of-the-art framework to numerically evaluate spin foam transition amplitudes. We find that uniform sampling Monte Carlo is exceptionally effective in approximating the sum over internal quantum numbers of a spin foam amplitude, considerably reducing the computational resources necessary. We apply it to compute large volume divergences of the theory and find surprising numerical evidence that the EPRL vertex renormalization amplitude is instead finite." @default.
• W4376114449 created "2023-05-12" @default.
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• W4376114449 date "2023-05-09" @default.
• W4376114449 modified "2023-10-17" @default.
• W4376114449 title "Summing bulk quantum numbers with Monte Carlo in spin foam theories" @default.
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• W4376114449 doi "https://doi.org/10.1103/physrevd.107.106008" @default.
• W4376114449 hasPublicationYear "2023" @default.
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