Data for the work "Equivalence of residual entropy of hexagonal and cubic ices from tensor network methods"

This dataset contains the data supporting the work “Equivalence of residual entropy of hexagonal and cubic ices from tensor network methods”(arXiv:2511.22477).The structure of the dataset is:-Directory "Measure of normality" contains the data for the measure of normality of the transfer matrix of cubic ice (Table 2 and Figure 4 in the paper). The data is stored as .pkl files, with "Data_readout_example.ipynb" showing how to read it out. -Directory "Residual entropy" contains the data for the residual entropy results caluclated with our method (Table 3 and Figure 7 in the paper). The data is stored in the form of configuration number per site as .txt files with space separators. To perform extrapolation, correlation length for each point is calculated and stored as .pkl files. The file "Data_readout_example.ipynb" gives examples of how to use the data.-Directory "Numerical error estimation" contains a rough analysis of the numerical error of our iPEPS optimization method with split-CTMRG scheme. The file "Error_analysis.ipynb" shows how to readout the data and presents the analysis. The corresponding data is stored as .npy files in two subdirectories.本数据集包含支撑论文《基于张量网络方法（tensor network methods）的六角冰与立方冰残余熵等价性》（arXiv:2511.22477）相关研究工作的数据。数据集结构如下： - 目录「Measure of normality」（正态性度量目录）：存储立方冰传递矩阵的正态性度量相关数据，对应论文中的表2与图4。该数据以.pkl格式文件存储，附带示例文件「Data_readout_example.ipynb」，用以演示数据读取方法。 - 目录「Residual entropy」（残余熵目录）：存储通过本研究方法计算得到的残余熵结果数据，对应论文中的表3与图7。数据以空格分隔的.txt格式文件存储，内容为每格点的构型数。为开展外推分析，各数据点对应的关联长度已完成计算并保存为.pkl文件。示例文件「Data_readout_example.ipynb」提供了该数据集的使用方法说明。 - 目录「Numerical error estimation」（数值误差估计目录）：包含对采用split-CTMRG方案的无限投影纠缠对态（infinite projected entangled pair state, iPEPS）优化方法的数值误差的初步分析。示例文件「Error_analysis.ipynb」演示了数据读取方法并展示了相关分析过程，对应数据以.npy格式文件存储于两个子目录中。