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

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 35× to 70×, 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 throughnut.

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Publication Details

Published
2024-11-02
DOI
https://doi.org/10.1109/micro61859.2024.00061
Citations
6
Primary Topic
Fluid Dynamics Simulations and Interactions
Type
article
Field-Weighted Citation Impact
2.25

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article

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

Travis S. Humble, Keyi Yin, Yufei Ding, Yunong Shi et al.
6 citations
Fluid Dynamics Simulations and Interactions
2.25
article

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

Travis S. Humble, Keyi Yin, Yufei Ding, Yunong Shi, Xiang Fang, Ang Li
article en
6 citations

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 35× to 70×, 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 throughnut.

Oak Ridge National Laboratory (US), Pacific Northwest National Laboratory (US), University of California San Diego (US), Applied Quantum Technologies (United States) (US)
National Science Foundation, U.S. Department of Energy
Climate action
Openalex Percentile: Top 12%
Fluid Dynamics Simulations and Interactions
2.25
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Surf-Deformer: Mitigating Dynamic Defects on Surface Code via Adaptive Deformation — Travis S. Humble, Keyi Yin, et al. · (2024) | TGRS Research Map | TGRS