Tensor-network reformulation of strong-coupling QCD with staggered fermions at nonzero μ, yielding analytical results on 2×2 lattices up to β^4.
title Worm Algorithms for Classical Statistical Models
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Reviews approaches such as Lefschetz thimbles, complex Langevin dynamics, dual variables, tensor renormalization group, and machine learning to control the sign problem in lattice field theories.
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Tensor-network formulation of QCD in the strong-coupling expansion
Tensor-network reformulation of strong-coupling QCD with staggered fermions at nonzero μ, yielding analytical results on 2×2 lattices up to β^4.
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Lattice field theories with a sign problem
Reviews approaches such as Lefschetz thimbles, complex Langevin dynamics, dual variables, tensor renormalization group, and machine learning to control the sign problem in lattice field theories.