Numerical evidence for marginal scaling at the integer quantum Hall transition

TL;DR

This paper provides numerical evidence supporting the conjecture of marginal scaling at the integer quantum Hall transition, revealing slow RG flow and effective critical exponents through extensive simulations.

Contribution

The study offers the first extensive numerical validation of the marginal scaling scenario at IQHT, aligning with recent conformal field theory predictions.

Findings

Finite-size scaling matches predicted fixed-point conductance

Evidence of third-order RG beta function expansion

Model-dependent effective critical exponents observed

Abstract

The integer quantum Hall transition (IQHT) is one of the most mysterious members of the family of Anderson transitions. Since the 1980s, the scaling behavior near the IQHT has been vigorously studied in experiments and numerical simulations. Despite all efforts, it is notoriously difficult to pin down the precise values of critical exponents, which seem to vary with model details and thus challenge the principle of universality. Recently, M. Zirnbauer\citep{Zirnbauer2019} [Nucl. Phys. B \textbf{941}, 458 (2019)] has conjectured a conformal field theory for the transition, in which linear terms in the beta-functions vanish, leading to a very slow flow in the fixed point's vicinity which we term marginal scaling. In this work, we provide numerical evidence for such a scenario by using extensive simulations of various network models of the IQHT at unprecedented length scales. At criticality, we show that the finite-size scaling of the disorder averaged longitudinal Landauer conductance is consistent with its recently predicted fixed-point value and a third-order expansion of RG beta functions. In the future, our numerical findings can be checked with analytical results from the conformal field theory. Away from criticality we describe a mechanism that could account for the emergence of an \emph{effective} critical exponents $\nu_\mathrm{eff}$, which is necessarily dependent on the parameters of the model. We further support this idea by numerical determination of $\nu_\mathrm{eff}$ in suitably chosen models.