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arXiv · 2604.25524

Defect-Adaptive Lattice Surgery on Irregular Boundary Surface-Code Patches

GunSik Min·Youshin Chung·Yujin Kang·Jun Heo
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Abstract

Defect-adaptive surface-code methods construct valid logical patches on imperfect hardware, but fault-tolerant computation also requires certifying that requested logical operations remain executable on the resulting irregular geometries. We address this problem for lattice-surgery merges whose interfaces intersect deformed boundaries, unavailable checks, or gauge-inferred operators. Our compiler constructs an admissible seam-measurement set whose elements associate effective seam supports with raw-outcome selectors and schedule metadata. A GF(2) row-space test then determines whether the requested joint parity is realizable modulo pre-merge stabilizer constraints, returning either an explicit parity-extraction rule or a dual witness of non-realizability within the evaluated set. Paired ablations isolate the contribution of the proposed measurement-set construction rules. We further apply the test to configurations generated by Snakes and Ladders (SnL) on 15,000 clustered boundary-defect maps. Adding the proposed boundary-reconstruction rows increases the certification rate from 61.88\% to 62.79\%, with the gain concentrated in strongly clustered regimes. The framework therefore provides a compiler step that separates defect-adaptive patch construction from the certification and extraction of lattice-surgery parity measurements.

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GunSik Min, Youshin Chung, Yujin Kang, Jun Heo. 2026-09-11. Defect-Adaptive Lattice Surgery on Irregular Boundary Surface-Code Patches. https://arxiv.org/abs/2604.25524

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