Quantum entanglement plays a crucial role in quantum computing. Entangling information has important implications for understanding the behavior of quantum programs and avoiding entanglement-induced errors. Entanglement analysis is a static code analysis technique that determines which qubit may entangle with another qubit and establishes an entanglement graph to represent the whole picture of interactions between entangled qubits. This paper presents the first static entanglement analysis method for quantum programs developed in the practical quantum programming language Q\#. Our method first constructs an interprocedural control flow graph (ICFG) for a Q\# program and then calculates the entanglement information not only within each module but also between modules of the program. The analysis results can help improve the reliability and security of quantum programs.

翻译：量子纠缠在量子计算中起着至关重要的作用。纠缠信息对于理解量子程序的行为和避免由纠缠误差引起的问题具有重要的含义。纠缠分析是一种静态代码分析技术，它确定哪个量子比特可能会与另一个量子比特发生纠缠，并建立一个纠缠图来表示所有纠缠量子之间的交互。本文提出了第一种适用于Q\#实际量子编程语言的静态纠缠分析方法。我们的方法首先为Q\#程序构建一个过程间控制流图（ICFG），然后计算程序中每个模块内部以及模块之间的纠缠信息。分析结果有助于提高量子程序的可靠性和安全性。