AI 中文总结
该研究提出Graphix软件框架，用于MBQC的开发、模拟与拓展，可复现相关研究结果，助力MBQC的教育、研究及实际应用推进。
AI 中文摘要
基于测量的量子计算（MBQC）是一种强大的量子计算模型，但将其理论基础与实际研究工作流衔接的专用软件工具仍较为有限。我们提出Graphix，这是一个用Python编写的MBQC软件框架，为开发、集成和探索基于测量的协议与算法提供统一环境。Graphix建立了模块化、可扩展且用户友好的架构，用于MBQC模型下量子计算的编译与模拟，其抽象与MBQC的理论表述紧密契合。通过近期MBQC研究中的示例，我们证明Graphix能够复现并拓展前人的研究结果。因此，Graphix为MBQC提供了软件基础设施，支持教育与研究，同时实现协作开发并加速向实际应用的过渡。
英文摘要
Measurement-based quantum computing (MBQC) is a powerful model for quantum computation, but dedicated software tools that bridge its theoretical foundations with practical research workflows remain limited. We present Graphix, a software framework for MBQC written in Python that provides a unified environment for developing, integrating, and exploring measurement-based protocols and algorithms. Graphix establishes a modular, extensible, and user-friendly architecture for the compilation and simulation of quantum computations in the MBQC model with abstractions closely aligned with the theoretical formulations of MBQC. Through examples drawn from recent research on MBQC, we demonstrate Graphix's ability to reproduce and extend previous results. Graphix thus provides a software infrastructure for MBQC, supporting education and research while enabling collaborative development and accelerating the transition toward practical implementations.
Comments28 + 8 pages, 18 figures and 11 code snippets. Comments welcome! v2: added author contributions and LLM statement
