English

Superdiffusive transport protected by topology and symmetry in all dimensions

Mesoscale and Nanoscale Physics 2025-11-14 v1 Quantum Physics

Abstract

Superdiffusion is an anomalous transport behavior. Recently, a new mechanism, termed the ``nodal mechanism," has been proposed to induce superdiffusion in quantum models. However, existing realizations of the nodal mechanism have so far been proposed on fine-tuned, artificial Hamiltonians, posing a significant challenge for experimental observation. In this work, we propose a broad class of models for generating superdiffusion potentially realizable in condensed matter systems across different spatial dimensions. A robust nodal structure emerges from the hybridization between the itinerant electrons and the local impurity orbitals, protected by the intrinsic symmetry and topology of the electronic band. We derive a universal scaling law for the conductance, GLγG \sim L^{-\gamma}, revealing how the exponent is dictated by the dimensionality of the nodal structure (DnodeD_{\text{node}}) and its order nn, and the dimensionality of the system (D)(D) at high temperatures or that of the Fermi surface (DFD^F) at low temperatures. Through numerical simulations, we validate these scaling relations at zero temperature for various models, including those based on graphene and multi-Weyl semimetals, finding excellent agreement between our theory and the computed exponents. Beyond the scaling of conductance, our framework predicts a suite of experimentally verifiable signatures, notably a new mechanism for linear-in-temperature resistivity (ρT\rho \sim T) and a divergent low-frequency optical conductivity (σ(ω)ωγ1\sigma(\omega) \sim \omega^{\gamma -1}), establishing a practical route to discovering and engineering anomalous transport in quantum materials.

Keywords

Cite

@article{arxiv.2511.09629,
  title  = {Superdiffusive transport protected by topology and symmetry in all dimensions},
  author = {Shaofeng Huang and Yu-Peng Wang and Jie Ren and Chen Fang},
  journal= {arXiv preprint arXiv:2511.09629},
  year   = {2025}
}

Comments

25 pages, 7 figures