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Connected progenitor graphs give perfect adaptive fusion

Abstract

Goodenough, Landahl, Lee, Russo and Thompson (arXiv:2609.02559) conjecture that every [[n, 1, d]] graph code with a connected progenitor graph has a perfect adaptive fusion strategy: the physical fusions can be attempted in an order, with failure axes chosen from the earlier outcomes, so that a single successful physical fusion always gives a successful logical fusion. With the paper’s failure criterion (Proposition 3.1), this holds: attempt the vertices farthest from the encoding vertex first with failure axis Z, and after the first success use axis X on the internal vertices of a shortest path from the encoding vertex to the successful vertex.

Definition 1.1 (Pauli letters up to phase).

Formalization. D5/S3/Quantum/Measurements/ConnectedProgenitorPerfectAdaptiveFusion.Pauli (✓ std3).

Citation. Kenneth Goodenough, Andrew Landahl, Joon Lee, Antonio Russo and Kevin Thompson (2026). Optimal Fusion Strategies for Quantum Computation. URL: https://arxiv.org/abs/2609.02559.

Commentary.

A single-qubit Pauli operator up to phase is recorded by its two bits (x, z): I = (false, false), X = (true, false), Z = (false, true), Y = (true, true).

Definition 1.2 (The identity letter).

Formalization. D5/S3/Quantum/Measurements/ConnectedProgenitorPerfectAdaptiveFusion.pauliI (✓ std3).

Citation. Kenneth Goodenough, Andrew Landahl, Joon Lee, Antonio Russo and Kevin Thompson (2026). Optimal Fusion Strategies for Quantum Computation. URL: https://arxiv.org/abs/2609.02559.

Commentary.

The identity letter has both bits false.

Definition 1.3 (Products of canonical generators).

Formalization. D5/S3/Quantum/Measurements/ConnectedProgenitorPerfectAdaptiveFusion.genProduct (✓ std3).

Citation. Kenneth Goodenough, Andrew Landahl, Joon Lee, Antonio Russo and Kevin Thompson (2026). Optimal Fusion Strategies for Quantum Computation. URL: https://arxiv.org/abs/2609.02559.

Commentary.

For a finite simple graph G on a type V with decidable equality and decidable adjacency, the product over a set U of the canonical generators X_u times the product of Z_w over the neighbours w of u has, up to phase, the letter at w with x-bit ‘w is in U’ and z-bit ‘w has an odd number of neighbours in U’. These products are, up to phase, all stabilizers of the graph state.

Definition 1.4 (Non-trivial logical operators).

Formalization. D5/S3/Quantum/Measurements/ConnectedProgenitorPerfectAdaptiveFusion.IsNontrivialLogical (✓ std3).

Citation. Kenneth Goodenough, Andrew Landahl, Joon Lee, Antonio Russo and Kevin Thompson (2026). Optimal Fusion Strategies for Quantum Computation. URL: https://arxiv.org/abs/2609.02559.

Commentary.

For the progenitor graph G with encoding vertex e, a Pauli string P on the physical vertices is a non-trivial logical operator when it is the restriction to the vertices other than e of a graph-state stabilizer that is not the identity at e.

Definition 1.5 (Adaptive fusion strategies).

Formalization. D5/S3/Quantum/Measurements/ConnectedProgenitorPerfectAdaptiveFusion.AdaptiveStrategy (✓ std3).

Citation. Kenneth Goodenough, Andrew Landahl, Joon Lee, Antonio Russo and Kevin Thompson (2026). Optimal Fusion Strategies for Quantum Computation. URL: https://arxiv.org/abs/2609.02559.

Commentary.

An adaptive strategy attempts the physical vertices in increasing rank, the rank being injective on the vertices other than e, and gives each vertex a non-identity failure axis that depends only on the outcomes o (true for a successful fusion) of the physical vertices of smaller rank.

Definition 1.6 (Logical failure).

Formalization. D5/S3/Quantum/Measurements/ConnectedProgenitorPerfectAdaptiveFusion.LogicalFailure (✓ std3).

Citation. Kenneth Goodenough, Andrew Landahl, Joon Lee, Antonio Russo and Kevin Thompson (2026). Optimal Fusion Strategies for Quantum Computation. URL: https://arxiv.org/abs/2609.02559.

Commentary.

Proposition 3.1 of the paper: the outcome o leads to a logical failure when some non-trivial logical operator is, at every failed vertex, the identity or the realized failure axis, and is the identity at every vertex whose fusion succeeded.

Definition 1.7 (Perfect adaptive strategies).

Formalization. D5/S3/Quantum/Measurements/ConnectedProgenitorPerfectAdaptiveFusion.HasPerfectAdaptiveStrategy (✓ std3).

Citation. Kenneth Goodenough, Andrew Landahl, Joon Lee, Antonio Russo and Kevin Thompson (2026). Optimal Fusion Strategies for Quantum Computation. URL: https://arxiv.org/abs/2609.02559.

Commentary.

Some adaptive strategy avoids a logical failure for every outcome with at least one successful physical fusion.

Definition 1.8 (The conjecture).

Formalization. D5/S3/Quantum/Measurements/ConnectedProgenitorPerfectAdaptiveFusion.claim (✓ std3).

Citation. Kenneth Goodenough, Andrew Landahl, Joon Lee, Antonio Russo and Kevin Thompson (2026). Optimal Fusion Strategies for Quantum Computation. URL: https://arxiv.org/abs/2609.02559.

Commentary.

Every graph code whose progenitor graph is a connected finite simple graph, with the encoding vertex incident to an edge, has a perfect adaptive strategy.

Theorem 1.9 (Proof of the conjecture).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurements/ConnectedProgenitorPerfectAdaptiveFusion.result (✓ std3). ∎

Resolves. Problems/goodenough-landahl-2026-connected-progenitor-adaptive-fusion (proved) by D5/S3/Quantum/Measurements/ConnectedProgenitorPerfectAdaptiveFusion.result.

Source. Repository-derived.

Acknowledgement. Kenneth Goodenough, Andrew Landahl, Joon Lee, Antonio Russo and Kevin Thompson (2026). Optimal Fusion Strategies for Quantum Computation. URL: https://arxiv.org/abs/2609.02559.

Commentary.

Attempt the physical vertices in order of decreasing graph distance from e, with failure axis Z until the first success. If the first success is at v, at distance l from e, fix a shortest path e = p(l), …, p(1), p(0) = v that steps from each vertex to a neighbour one closer to e; its internal vertices are closer to e than v, so they have not been attempted, and from then on the axis is X on them and Z elsewhere. This choice uses only earlier outcomes. Adjacent vertices have distances differing by at most 1, so p(i) and p(j) are adjacent only when |i - j| = 1. Suppose a stabilizer product over U gives a logical failure. Off the path the vertex failed in Z or succeeded, so its x-bit is 0 and it is not in U; hence U lies on the path. At an internal path vertex the letter is I or X, and at v it is I, so each of these has an even number of neighbours in U. Since U lies on the path, the neighbours of p(i) in U are among p(i - 1) and p(i + 1). At v this gives p(1) not in U, and at p(i) for 1 <= i < l it gives that p(i + 1) is in U exactly when p(i - 1) is. Starting from p(0) and p(1) not in U, induction gives that no path vertex is in U. So U is empty and the stabilizer is the identity at e, a contradiction.

References