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Spinfoam on Lefschetz Thimble: Markov Chain Monte-Carlo Computation of Lorentzian Spinfoam Propagator

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arxiv 2012.11515 v2 pith:HA632Q64 submitted 2020-12-21 gr-qc hep-lathep-thmath-phmath.MPphysics.comp-ph

classification gr-qchep-lathep-thmath-phmath.MPphysics.comp-ph
keywords spinfoamspinschaincomputelargelefschetzlorentzianmarkov
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We compute numerically the Lorentzian Engle-Pereira-Rovelli-Livine (EPRL) spinfoam propagator on a 4-simplex, by adapting the methods of Lefschetz thimble and Markov Chain Monte-Carlo to oscillatory spinfoam integrals. Our method can compute any spinfoam observables at relatively large spins. We obtain the numerical results of the propagators at different spins and demonstrate their consistency with the expected spinfoam semi-classical behavior in the large spin limit. Our results exhibit significant quantum corrections at smaller spins. Our method is reliable and thus can be employed to discover the semi-classical and quantum behaviors of the spinfoam model.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Deep learning spinfoam vertex amplitudes: the Euclidean Barrett-Crane model

    gr-qc 2025-05 conditional novelty 6.0 of 10

    A proof-of-principle that simple neural networks can learn Euclidean Barrett-Crane 10j vertex amplitudes: classification generalizes to higher cutoffs, regression works only within the trained low-spin domain.

  2. Studying replica wormholes and the Page curve with simplicial quantum gravity

    hep-th 2025-04 conditional novelty 6.0 of 10

    A coarse simplicial quantum gravity model produces semiclassical saddles whose swap entropy rises and then falls, reproducing the Page transition at n→1+.

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