Quantum State Tensor

该数据集是一个以Block-TT格式生成的8阶张量，其核心张量的条目是从正态分布（即吉尼布瑞集合）中抽取的。此外，该数据集还包含了在不同采样比例下执行的随机泡利测量，并且在测量结果中加入了高斯噪声。该数据集的规模随着量子比特数N的变化而变化，N的范围从3到12。所涉及的任务是量子态层析。

This dataset is an 8-order tensor generated in the Block-TT format, whose core tensor entries are sampled from the normal distribution (i.e., the Ginibre ensemble). Additionally, the dataset includes random Pauli measurements conducted under various sampling ratios, with Gaussian noise added to the measurement results. The size of this dataset scales with the number of qubits N, which ranges from 3 to 12. The associated task is quantum state tomography.