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First page of Rényi Multi-entropy for Stabilizer States: A Finite Field Gauss Sum Problem

Rényi Multi-entropy for Stabilizer States: A Finite Field Gauss Sum Problem

Bartlomiej Czech, Yichen Feng, Jonathan Harper, Xin-Xiang Ju, Yang Zhao

hep-th Oct 19, 2026 · v1
Key assignment-sum formulas (tree graph formula, core-2/core-3, triangle and four-vertex loop cores) are machine-verified in Lean 4, with code in a public repository.
Rényi multi-entropy probes multi-partite structure beyond bipartite spectra, but its behavior in general quantum states and the entanglement structure it captures remain poorly understood. We develop a finite field Gauss sum framework for calculating it in stabilizer states. Within this framework, the replica contraction reduces to a quadratic Gauss sum if and only if the state is locally unitarily equivalent to a stabilizer state. We obtain analytic expressions for the Rényi multi-entropy of all tree graph states and large families of loop graph states. In contrast to their flat bipartite Rényi spectra, stabilizer states generically have nonflat Rényi multi-entropy spectra.

Rényi multi-entropy probes multipartite entanglement beyond bipartite spectra, but it is hard to compute and poorly understood even for stabilizer states.

The replica contraction for stabilizer (graph) states is recast as a finite field Gauss sum problem using a core-graph representation with GHZ block sizes. Assignment sums are evaluated for tree graphs via a connected-subtree formula proved by induction, and for loop graphs through a recursive decomposition into loop-core coefficients. Key finite-assignment results are formally verified in Lean 4, starting from the finite-field assignment formulation.

Figure 3: A graph state, which is LC-equivalent to a core-2 state defined in ( 24 ).

A closed formula covers all tree graph states, and explicit coefficients are given for triangle, four- and five-vertex loop cores and odd cycles. Loop graphs show different behavior at even and odd replica index, and stabilizer states generically have nonflat multi-entropy spectra. The tree, core-2, core-3, triangle and four-vertex loop results are machine-checked in Lean 4.