AI 中文总结
针对量子网络模拟难及理解难的问题，提出基于Python的开源可视化工具Q2NSViz，它能重建网络状态时间演化，围绕特定轨迹契约、回放引擎和接口构建，可被重用，为研究者和教育者提供零编码工具，缩小协议逻辑与执行差距。
AI 中文摘要
量子网络独特的非经典特性使其模拟和直观理解具有内在难度。在这项工作中，我们展示了Q2NSViz，这是一个基于Python的开源可视化工具，用于回放和检查量子网络模拟轨迹。Q2NSViz重建模拟网络状态的时间演化，包括物理拓扑、存储和传输中的量子比特、经典比特和数据包、测量以及纠缠关系。它不仅揭示物理连接性，还展示协议执行产生、消耗和转换的动态纠缠诱导结构。Q2NSViz围绕解耦的JSON/NDJSON轨迹契约、无Qt回放引擎和交互式PyQt6接口构建，可作为Q2NS的独立伴侣，并可被其他发出相同轨迹格式的模拟后端重用。通过将执行轨迹转化为可导航和可重现的视觉工件，Q2NSViz为研究人员和教育工作者提供了零编码工具，缩小了抽象协议逻辑与具体执行之间的差距。
英文摘要
The unique and non-classical features of quantum networks make their simulation and intuitive understanding inherently difficult. In this work, we present Q2NSViz, an open-source Python-based visualization tool for replaying and inspecting quantum-network simulation traces. Q2NSViz reconstructs the time evolution of the simulated network state, including physical topology, stored and in-flight qubits, classical bits and packets, measurements, and entanglement relationships. In this way, it exposes not only physical connectivity, but also the dynamic entanglement-induced structure produced, consumed, and transformed by protocol execution. Q2NSViz is built around a decoupled JSON/NDJSON trace contract, a Qt-free replay engine, and an interactive PyQt6 interface, making it a standalone companion to Q2NS and reusable by other simulation backends that emit the same trace format. By turning execution traces into navigable and reproducible visual artifacts, Q2NSViz provides a zero-coding tool for researchers and educators, narrowing the gap between abstract protocol logic and concrete execution.
CommentsThis work has been funded by the European Union under Horizon Europe ERC-CoG grant QNattyNet ("Quantum-Native Communication Networks: from Quantum Message to Quantum Functioning"), n.101169850. Details at https://qnattynet.quantuminternet.it
