Quantum Circuit Generation Dataset

该数据集专为训练和评估UDiTQC模型在量子电路生成任务上的性能而设计，特别关注纠缠生成和酉编译。该数据集包含不同量子比特数量的电路，其特征是通过它们的施密特秩向量（SRV）来表征，该向量提供了纠缠结构的定量描述。该数据集支持针对特定纠缠状态的模型训练和评估，且每个量子比特数量的电路数量大致相等。其任务涵盖了量子电路生成、纠缠生成和酉编译。

This dataset is specifically designed for training and evaluating the performance of the UDiTQC model on quantum circuit generation tasks, with a particular focus on entanglement generation and unitary compilation. It includes circuits with varying numbers of qubits, which are characterized by their Schmidt Rank Vectors (SRVs) that provide a quantitative description of the entanglement structure. This dataset supports model training and evaluation for specific entanglement states, and the number of circuits for each qubit count is approximately equal. The covered tasks include quantum circuit generation, entanglement generation, and unitary compilation.