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Flow-based sampling in the lattice Schwinger model at criticality

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arxiv 2202.11712 v1 pith:SRR4RSQ3 submitted 2022-02-23 hep-lat cond-mat.stat-mechcs.LG

Flow-based sampling in the lattice Schwinger model at criticality

classification hep-lat cond-mat.stat-mechcs.LG
keywords flow-basedmodelsamplingschwingerfieldlatticealgorithmsapplications
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Recent results suggest that flow-based algorithms may provide efficient sampling of field distributions for lattice field theory applications, such as studies of quantum chromodynamics and the Schwinger model. In this work, we provide a numerical demonstration of robust flow-based sampling in the Schwinger model at the critical value of the fermion mass. In contrast, at the same parameters, conventional methods fail to sample all parts of configuration space, leading to severely underestimated uncertainties.

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Cited by 4 Pith papers

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

  1. Sampling the Schwinger Model with Gauge-Equivariant Diffusion

    hep-lat 2026-06 unverdicted novelty 7.0

    A gauge-equivariant diffusion model samples Schwinger model configurations, yielding unbiased observables matching MCMC and qualitatively less topological freezing than HMC.

  2. Diffusion Models for Sampling Near Criticality in Lattice Field Theories

    hep-lat 2026-07 accept novelty 6.0

    Fully convolutional diffusion models trained on small lattices transfer to unseen larger volumes for 2D/3D phi^4 sampling across phases, matching or beating same-size training on most observables.

  3. Normalizing flows for all-orders QED corrections in lattice field theory

    hep-lat 2026-05 unverdicted novelty 6.0

    Normalizing flows enable all-order QED corrections in lattice scalar QED in 2-4 dimensions with reduced variance and transferability from small to large lattices.

  4. Scaling flow-based approaches for topology sampling in $\mathrm{SU}(3)$ gauge theory

    hep-lat 2025-10 unverdicted novelty 6.0

    Out-of-equilibrium simulations with open-to-periodic boundary switching plus a tailored stochastic normalizing flow enable efficient topology sampling in the continuum limit of four-dimensional SU(3) Yang-Mills theory.