Random Fractal Ansatz for the configurations of Two-Dimensional Critical Systems
Ching Hua Lee, Dai Ozaki, Hiroaki Matsueda

TL;DR
This paper introduces a random fractal ansatz to model and analyze the entanglement properties of classical configurations in two-dimensional critical systems, specifically the Potts model, revealing insights into conformal invariance and critical exponents.
Contribution
It proposes a novel random fractal ensemble that accurately reproduces entanglement spectra of Potts model snapshots without fine-tuning, linking fractal parameters to critical behavior.
Findings
The ansatz reproduces entanglement spectra accurately.
It explains the role of ensemble disorder in conformal invariance.
Variation of the parameter $\Sigma$ indicates critical exponents.
Abstract
Critical systems have always intrigued physicists and precipitated the development of new techniques. Recently, there has been renewed interest in the information contained in their classical configurations, whose computation do not require full knowledge of the wavefunction. Inspired by holographic duality, we investigated the entanglement properties of the classical configurations (snapshots) of the Potts model by introducing an ansatz ensemble of random fractal images. By virtue of the central limit theorem, our ansatz accurately reproduces the entanglement spectra of actual Potts snapshots without any fine-tuning of parameters or artificial restrictions on ensemble choice. It provides a microscopic interpretation of the results of previous studies, which established a relation between the scaling behavior of snapshot entropy and the critical exponent. More importantly, it elucidates…
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