标题： 面向硬件的电路切割与连通量子系统的分布式量子比特映射 显示英文标题

标题： Hardware-aware Circuit Cutting and Distributed Qubit Mapping for Connected Quantum Systems

摘要： 量子计算提供了无与伦比的计算能力，但面临着诸多挑战，包括有限的量子比特数量、多样的硬件拓扑结构以及动态的噪声/错误率，这些阻碍了可扩展性和可靠性。分布式量子计算，特别是芯片间的连接，通过互连多个处理器以协作执行大型电路而成为一种解决方案。尽管硬件进步，如IBM的Quantum Flamingo，专注于提高芯片间保真度，但有限的研究关注分布式系统中高效的电路切割和量子比特映射。该项目引入了DisMap，这是一种自适应的、面向硬件的芯片间分布式量子系统框架。DisMap分析量子比特的噪声和错误率，构建虚拟系统拓扑，指导电路分割和分布式量子比特映射，以最小化SWAP开销并提高保真度。该框架使用IBM Qiskit实现，并与最先进的方法进行比较，DisMap在保真度方面实现了高达20.8%的提升，并将SWAP开销最多减少了80.2%，在真实量子硬件拓扑的广泛评估中展示了其可扩展性和有效性。 显示英文摘要

摘要： Quantum computing offers unparalleled computational capabilities but faces significant challenges, including limited qubit counts, diverse hardware topologies, and dynamic noise/error rates, which hinder scalability and reliability. Distributed quantum computing, particularly chip-to-chip connections, has emerged as a solution by interconnecting multiple processors to collaboratively execute large circuits. While hardware advancements, such as IBM's Quantum Flamingo, focus on improving inter-chip fidelity, limited research addresses efficient circuit cutting and qubit mapping in distributed systems. This project introduces DisMap, a self-adaptive, hardware-aware framework for chip-to-chip distributed quantum systems. DisMap analyzes qubit noise and error rates to construct a virtual system topology, guiding circuit partitioning, and distributed qubit mapping to minimize SWAP overhead and enhance fidelity. Implemented with IBM Qiskit and compared with the state-of-the-art, DisMap achieves up to a 20.8\% improvement in fidelity and reduces SWAP overhead by as much as 80.2\%, demonstrating scalability and effectiveness in extensive evaluations on real quantum hardware topologies.