Multi-invariants in stabilizer states
Sriram Akella, Abhijit Gadde, Jay Pandey
TL;DR
This work develops a practical framework to compute multi-invariants for stabilizer states, enabling quantitative analysis of multipartite entanglement in a class of states central to quantum information and condensed matter. By reformulating multi-invariants for graph states as inner products on a constructed big graph and providing an O($n^3$) projector-based algorithm, the authors achieve efficient computation in the stabilizer setting. They prove a tripartite analytic decomposition, showing ${\cal Z}$ factors into GHZ- and Bell-type contributions with a Rényi multi-entropy ${\cal E}_n^{\text{ME}}$ that admits closed forms and simple $n=2$ counting, and they connect these invariants to Coxeter groups and topology, including a genus-dependent piece. They further simplify the framework for X-stabilizer states (e.g., toric code and X-cube ground states) and conjecture a general closed form for Coxeter invariants, with implications for entanglement in stabilizer-based quantum codes and topological models.
Abstract
Multipartite entanglement is a natural generalization of bipartite entanglement, but is relatively poorly understood. In this paper, we develop tools to calculate a class of multipartite entanglement measures - known as multi-invariants - for stabilizer states. We give an efficient numerical algorithm that computes multi-invariants for stabilizer states. For tripartite stabilizer states, we also obtain an explicit formula for any multi-invariant using the GHZ-extraction theorem. We then present a counting argument that calculates any Coxeter multi-invariant of a q-partite stabilizer state. We conjecture a closed form expression for the same. We uncover hints of an interesting connection between multi-invariants, stabilizer states and topology. We show how our formulas are further simplified for a restricted class of stabilizer states that appear as ground states of interesting models like the toric code and the X-cube model.
