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Surf-Deformer: Mitigating Dynamic Defects on Surface Code via Adaptive Deformation

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abstract

In this paper, we introduce Surf-Deformer, a code deformation framework that seamlessly integrates adaptive defect mitigation functionality into the current surface code workflow. It crafts several basic deformation instructions based on fundamental gauge transformations, which can be combined to explore a larger design space than previous methods. This enables more optimized deformation processes tailored to specific defect situations, restoring the QEC capability of deformed codes more efficiently with minimal qubit resources. Additionally, we design an adaptive code layout that accommodates our defect mitigation strategy while ensuring efficient execution of logical operations. Our evaluation shows that Surf-Deformer outperforms previous methods by significantly reducing the end-to-end failure rate of various quantum programs by 35x to 70x, while requiring only about 50% of the qubit resources compared to the previous method to achieve the same level of failure rate. Ablation studies show that Surf-Deformer surpasses previous defect removal methods in preserving QEC capability and facilitates surface code communication by achieving nearly optimal throughput.

fields

quant-ph 1

years

2025 1

verdicts

CONDITIONAL 1

representative citing papers

Design Automation in Quantum Error Correction

quant-ph · 2025-07-16 · conditional · novelty 2.0

A comprehensive review of automated tools and methods for designing quantum error-corrected circuits, with case studies on T-gate optimization, surface-code layout, ML decoders, and verification.

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Showing 1 of 1 citing paper.

  • Design Automation in Quantum Error Correction quant-ph · 2025-07-16 · conditional · none · ref 84 · internal anchor

    A comprehensive review of automated tools and methods for designing quantum error-corrected circuits, with case studies on T-gate optimization, surface-code layout, ML decoders, and verification.