容错量子计算的量子编译器设计
Quantum Compiler Design for Fault-Tolerant Quantum Computing
浏览论文内容
中文总结 AI 辅助
本文综述容错量子计算中量子编译器设计的全栈方法，涵盖逻辑级编译、物理级实现及解码器集成，并指出跨层优化等开放挑战。
中文摘要 AI 辅助
可扩展量子计算预计将依赖于容错量子计算（FTQC），其中量子纠错（QEC）充分抑制物理错误，以支持可靠的逻辑操作。这要求量子编译超越通用电路优化，转向跨容错量子计算机全栈的、编码感知和协议结构化的编译。除了电路综合和硬件映射之外，FTQC编译器必须将算法级操作降低到所选编码支持的逻辑门集合，协调编码数据和辅助资源，在硬件约束下实现逻辑操作并重复进行综合征提取，并将生成的测量流提供给实时解码。本综述提出了QEC保护的量子计算的编译器设计的全栈视图。我们将现有工作组织为三个交互层：逻辑级QEC编译、物理级QEC实现和解码器运行时集成。在逻辑层面，我们回顾了表面码格点手术编译器、超越表面码的码手术框架（包括新兴的qLDPC方法），以及非克利福德操作（如魔法态蒸馏和码切换）的编译支持。在物理层面，我们调查了超导、离子阱和中性原子平台上的硬件感知QEC实现。我们进一步检查了解码器模型、实时解码系统以及在容错执行期间关闭反馈回路的帧管理机制。最后，我们确定了跨层优化、qLDPC编译、编译器-解码器协同设计、运行时自适应以及集成和可基准测试的FTQC编译栈开发中的开放挑战。一个积极维护的论文列表可在以下网址获得：github.com/chenghongz/QEC-compiler-design。
英文摘要
Scalable quantum computation is expected to rely on fault-tolerant quantum computation (FTQC), in which quantum error correction (QEC) suppresses physical errors sufficiently to support reliable logical operations. This requires quantum compilation to move beyond general-purpose circuit optimization toward encoding-aware and protocol-structured compilation across the full stack of fault-tolerant quantum computers. Beyond circuit synthesis and hardware mapping, an FTQC compiler must lower algorithm-level operations into the logical gate set supported by the chosen code, coordinate encoded data and ancilla resources, realize logical operations together with repeated syndrome extraction under hardware constraints, and provide the resulting measurement stream to real-time decoding. This survey presents a full-stack view of compiler design for QEC-protected quantum computation. We organize existing work into three interacting layers: logical-level QEC compilation, physical-level QEC realization, and decoder runtime integration. At the logical level, we review surface-code lattice-surgery compilers, beyond-surface-code code-surgery frameworks including emerging qLDPC approaches, and compilation support for non-Clifford operations such as magic-state distillation and code switching. At the physical level, we survey hardware-aware QEC realization on superconducting, trapped-ion, and neutral-atom platforms. We further examine decoder models, real-time decoding systems, and frame-management mechanisms that close the feedback loop during fault-tolerant execution. Finally, we identify open challenges in cross-layer optimization, qLDPC compilation, compiler-decoder co-design, runtime adaptivity, and the development of integrated and benchmarkable FTQC compilation stacks. An actively maintained paper list is available at: github.com/chenghongz/QEC-compiler-design.
发表机构
- QudeLeap Research
- The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））
- The Hong Kong University of Science and Technology（香港科技大学）
- Shanghai Jiao Tong University（上海交通大学）
- Hangzhou MatriQ Computing Co., Ltd（杭州矩阵量子计算有限公司）
- Atomqubic Quantum Technology Co., Ltd（上海原子立方量子科技有限公司）
- State Key Laboratory of Quantum Optics Technologies and Devices, and Institute of Opto-Electronics, Shanxi University（山西大学光电研究所及量子光学技术与器件国家重点实验室）
- CAS Cold Atom Technology (Wuhan) Co., Ltd.（中科院冷原子技术（武汉）有限公司）
- Quantum Science Center of Guangdong-Hong Kong-Macao Greater Bay Area（粤港澳大湾区量子科学中心）
机构由 AI 辅助整理，请以论文原文为准。
