Introduces the Born-Reciprocal Tensor Network to realize UV/IR mixing as an entanglement bridge in renormalization geometry, with a large-volume limit restoring standard Wilsonian decoupling.
Tensor renormalization group approach to 2D classical lattice models
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abstract
We describe a simple real space renormalization group technique for two dimensional classical lattice models. The approach is similar in spirit to block spin methods, but at the same time it is fundamentally based on the theory of quantum entanglement. In this sense, the technique can be thought of as a classical analogue of DMRG. We demonstrate the method - which we call the tensor renormalization group method - by computing the magnetization of the triangular lattice Ising model.
verdicts
UNVERDICTED 3representative citing papers
Tensor-network reformulation of strong-coupling QCD with staggered fermions at nonzero μ, yielding analytical results on 2×2 lattices up to β^4.
A framework identifies self-consistent finite-size windows in tensor-network flows to extract conformal data from critical 2D Ising and clock models across multiple renormalization schemes.
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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.