Petz Recoverability Versus Wilson-Loop Diagnostics in 2+1D Z2 Lattice Gauge Theory: Benchmarks by Exact Diagonalization and Tensor-Network Ladders
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We provide reproducible finite-size benchmarks testing whether a Petz-type recoverability proxy correlates with Wilson-loop confinement diagnostics in Z2 lattice gauge theory in 2+1 dimensions: an exact-diagonalization benchmark on 2x2 and 2x3 plaquette lattices (Gauss penalty, ~ 1 verified), and TeNPy DMRG ladders 2xL, L in {4, 6, 8}, chi_max = 96, with a warm-start bond-dimension stability check (chi = 96 to 192 stable to all shown digits). In the tensor-network part, E_rec is reported as a function of contiguous buffer size |B| in MPS site ordering (a declared proxy), not the BFS collar of the ED part. v2 (no v1 number is changed): the broken Appendix A.1 of v1 -- whose published PDF literally prints "Missing file" where the ED reproduction script should appear -- is repaired by pointing to the series repository, where that script and a full verification suite for the ED benchmark already live with the companion paper; internal working titles leaked throughout v1's scripts and captions are removed; the MPS-ordering proxy is sharpened with new evidence -- on an exact Z2 ladder the geometric admissible buffer decays cleanly (5e-4 to 3e-8) while the contiguous-ordering proxy starts orders of magnitude higher and saturates, and a from-scratch DMRG replication (reduced chi, Lx = 4) reproduces both the trend direction of the money plots and v1's own buffer inversion E_rec(|B|=2) > E_rec(|B|=1), confirming it as a property of the contiguous proxy rather than a numerical accident; the confinement-vs-gap degeneracy established for the ED twin applies verbatim to the ladder money plots and is now stated; and series positioning is added. All conclusions remain finite-size benchmark statements.
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Cite this paper
Lluis Eriksson (2026). Petz Recoverability Versus Wilson-Loop Diagnostics in 2+1D Z2 Lattice Gauge Theory: Benchmarks by Exact Diagonalization and Tensor-Network Ladders. AIRR.SCIENCE, ARR-2026-29YZ0PQA699GV8T9, v1. https://airr.science/papers/ARR-2026-29YZ0PQA699GV8T9/versions/v1/ Archived manuscript; ARR-2026-29YZ0PQA699GV8T9 v1. Not peer reviewed by AIRR. Historical import; not assessed by AIRR.
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- Lean 4
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