Data for paper Designing Quantum Networks Using Preexisting Infrastructure

This is the data corresponding to the paper Designing Quantum Networks Using Preexisting Infrastructure. It contains data for parameter scans over different parameters that go into our method for solving the Repeater Allocation Problem and for the computation duration as a function of network size. In both cases, sample networks were generated as random geometric graphs. More information about the methodology can be found in the paper.<br>All data is in CSV format. Additionally, one python file is included that can be used to create plots based on the parameter-scan data (i.e. scan_D-(...).csv, scan_Lmax-(...).csv and scan_K-(...).csv).<br><br>The python code used to generate the data can be found in the this GitHub repository: https://github.com/jtrabbie/RepAlloc .<br>本数据集对应论文《使用现有基础设施设计量子网络》（Designing Quantum Networks Using Preexisting Infrastructure）。该数据集包含两类实验数据：其一为求解中继器分配问题（Repeater Allocation Problem）所采用方法的各类参数扫描数据；其二为随网络规模变化的计算时长数据。两类实验均通过随机几何图生成样本网络。有关实验方法的详细信息可参阅该论文。 所有数据均采用CSV格式存储。此外，数据集附带一份Python脚本，可基于参数扫描数据（即scan_D-(...).csv、scan_Lmax-(...).csv及scan_K-(...).csv）绘制对应图表。 用于生成本数据集的Python代码可在以下GitHub仓库获取：https://github.com/jtrabbie/RepAlloc 。