AI 中文总结
针对量子网络评估分散问题，提出基于模型驱动工程的数字孪生框架，得出设计与运行要求，给出架构演进，经概念性案例研究验证，为量子网络数字孪生奠定适应性和互操作性基础。
AI 中文摘要
量子网络正朝着更大、更具操作性的基础设施发展，但其评估仍分散在异构物理平台、模拟器、协议和架构抽象中。当前量子网络的数字孪生研究主要实现孤立功能或特定应用解决方案，而非可复用的系统级孪生。本文认为模型驱动工程（MDE）可为整合和发展这些异构工件提供系统基础。它得出设计时评估和运行时同步的要求，并提出从代码驱动和领域模型驱动解决方案到点对点和中心辐射式集成的架构演进。一个概念性实现案例研究用SysML v2、QKD套件、基于EMF的控制器和SeQUeNCe进行了说明。这项工作为量子网络的适应性和互操作性数字孪生奠定了基础。
英文摘要
Quantum networks are advancing towards larger and more operational infrastructures, yet their evaluation remains fragmented across heterogeneous physical platforms, simulators, protocols, and architectural abstractions. Current digital-twin studies for quantum networks mainly realise isolated capabilities or application-specific solutions rather than reusable system-level twins. This paper argues that Model-Driven Engineering (MDE) can provide a systematic basis for integrating and evolving these heterogeneous artefacts. It derives requirements for design-time evaluation and runtime synchronisation, and proposes a progression of architectures from code-driven and domain-model-driven solutions to point-to-point and hub-and-spoke integration. A conceptual implementation case study illustrates this using SysML v2, QKD kit, an EMF-based controller, and SeQUeNCe. The work provides a foundation for adaptable and interoperable digital twins for quantum networks.
