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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A transposition trick is introduced to impose lattice-reflection symmetry in TNRG projective truncations and entanglement filtering, enabling extraction of scaling dimensions separately in each symmetry sector for 2D and 3D systems.
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Extracting conformal data from finite-size tensor-network flow in critical two-dimensional classical models
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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Lattice-reflection symmetry in tensor-network renormalization group with entanglement filtering in two and three dimensions
A transposition trick is introduced to impose lattice-reflection symmetry in TNRG projective truncations and entanglement filtering, enabling extraction of scaling dimensions separately in each symmetry sector for 2D and 3D systems.