Revealing effects of local dimension on variable-range interacting model by connecting Lieb-Robinson bounds and multipartite entanglement
Keshav Das Agarwal, Debkanta Ghosh, Pritam Halder, Aditi Sen De
TL;DR
The paper investigates how the local Hilbert space dimension $d$ shapes information spreading in spin-$s$ Ising models with variable-range interactions decaying as $1/|r|^{alpha}$. It develops a dynamical framework based on multiqudit weighted graph states (WGS) and analyzes mutual information, Lieb-Robinson bounds, and genuine multipartite entanglement (GME). Key findings include a dimension-dependent transition in mutual information spreading near $alpha \,\sim\, log_2 d$, a dimension-sensitive light-cone structure with $t_{|r|} \propto |r|^{\alpha}/d$ (for $p=2$) and $t_{|r|} \propto |r|^{\alpha}/d^2$ (for $p=\infty$), and a direct correspondence between maximal LR propagation and maximal GME (edge effects under open boundaries). These results link dynamic nonlocality, information flow, and entanglement in LR qudit systems and offer a framework for probing LR physics and potential MBQC resources.
Abstract
A spin-$s$ variable-range interacting Ising model may display qualitatively different behaviors depending on the fall-off rate of the interactions, as already seen in equilibrium studies of spin-1/2 systems. We propose a dynamical method using weighted graph states, generated through time evolution that confirms the existence of the transition point in the fall-off rate for the spin-$s$ Ising model. Moreover, the dependence of local dimension on information spreading and multipartite entanglement profile in this model remains unclear, which we establish here. In particular, our analysis shows that the maximum of genuine multipartite entanglement (GME) with the fall-off rate serves as a clear indicator of the information spreading, which aligns with changes in the profile of the Lieb-Robinson bound. Further, in the case of an open chain, the spread of information is related to the divergence in the first derivative of GME. Additionally, we validate this signature by performing a scaling analysis of the time-averaged mutual information.
