Identification and Optimization of Accurate Spin Models for Open-Shell Carbon Ladders with Matrix Product States
Abstract
Open-shell nanographenes offer a controlled setting to study correlated magnetism emerging from -electron systems. We analyze oligo(indenoindene) molecules, non-bipartite carbon ladders whose tight-binding spectra feature a gapped, weakly dispersing manifold of quasi-zero modes, and show that their low-energy properties can be effectively mapped onto an interacting set of spin-1/2 degrees of freedom. Using Density Matrix Renormalization Group simulations of the full Fermi-Hubbard model, we obtain their excitation spectra, entanglement profiles, and spin-spin correlations. We then construct optimized delocalized fermionic modes that act as emergent spins and show that their interactions are well described by a frustrated - Heisenberg chain. This effective description clarifies how spin degrees of freedom arise and interact in non-bipartite nanographene ladders, providing a compact and accurate representation of their correlated behavior.
Cite
@article{arxiv.2512.18695,
title = {Identification and Optimization of Accurate Spin Models for Open-Shell Carbon Ladders with Matrix Product States},
author = {Andoni Agirre and Thomas Frederiksen and Geza Giedke and Tobias Grass},
journal= {arXiv preprint arXiv:2512.18695},
year = {2025}
}
Comments
5+7 pages, 3+7 figures