Surf-Deformer: Mitigating Dynamic Defects on Surface Code via Adaptive Deformation
Keyi Yin, Xiang Fang, Travis S. Humble, Ang Li, Yunong Shi, Yufei Ding
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 throughput.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 581a2149-adee-4d5b-9606-94df5f60469eCited by top-tier papers6
- PropHunt: Automated Optimization of Quantum Syndrome Measurement CircuitsJoshua Viszlai, Satvik Maurya, Swamit Tannu, Margaret Martonosi et al.ASPLOS 2026 · 10 citations
- Synchronization for Fault-Tolerant Quantum ComputersSatvik Maurya, Swamit TannuISCA 2025 · 4 citations
- Distributed-HISQ: A Distributed Quantum Control ArchitectureYilun Zhao, Kangding Zhao, Peng Zhou, Dingdong Liu et al.MICRO 2025 · 2 citations
- CaliQEC: In-situ Qubit Calibration for Surface Code Quantum Error CorrectionXiang Fang, Keyi Yin, Yuchen Zhu, Jixuan Ruan et al.ISCA 2025 · 1 citation
- MUSS-TI: Multi-level Shuttle Scheduling for Large-Scale Entanglement Module Linked Trapped-IonXian Wu, Chenghong Zhu, Jingbo Wang, Xin WangMICRO 2025 · 1 citation
Builds on3
- Scaling Superconducting Quantum Computers with Chiplet ArchitecturesKaitlin N. Smith, Gokul Subramanian Ravi, Jonathan M. Baker, Frederic T. ChongMICRO 2022 · 56 citations
- Q3DE: A fault-tolerant quantum computer architecture for multi-bit burst errors by cosmic raysYasunari Suzuki, Takanori Sugiyama, Tomochika Arai, Wang Liao et al.MICRO 2022 · 18 citations
- Codesign of quantum error-correcting codes and modular chiplets in the presence of defectsSophia Fuhui Lin, Joshua Viszlai, Kaitlin N. Smith, Gokul Subramanian Ravi et al.ASPLOS 2024 · 17 citations
Related papers
- A synthesis framework for stitching surface code with superconducting quantum devicesAnbang Wu, Gushu Li, Hezi Zhang, Gian Giacomo Guerreschi et al.ISCA 2022 · 21 citations
- On the Efficacy of Surface Codes in Compensating for Radiation Events in Superconducting DevicesMarzio Vallero, Gioele Casagranda, Flavio Vella, Paolo RechSC 2024 · 3 citations
- AutoBraid: A Framework for Enabling Efficient Surface Code Communication in Quantum ComputingFei Hua, Yan-Hao Chen, Yuwei Jin, Chi Zhang et al.MICRO 2021 · 26 citations
- A SAT Scalpel for Lattice Surgery: Representation and Synthesis of Subroutines for Surface-Code Fault-Tolerant Quantum ComputingDaniel Bochen Tan, Murphy Yuezhen Niu, Craig GidneyISCA 2024 · 10 citations
- Promatch: Extending the Reach of Real-Time Quantum Error Correction with Adaptive PredecodingNarges Alavisamani, Suhas Vittal, Ramin Ayanzadeh, Poulami Das et al.ASPLOS 2024 · 14 citations
