Quantum Circuit Input-Output Mappings

该数据集包含了不同量子电路的输入输出映射，包括随机电路、纠缠电路以及量子全加器等。具体来说，数据集中包含了诸如四比特随机电路、两比特纠缠电路以及两种类型的全加器电路等多种电路的映射信息。该数据集的任务是训练神经网络，使其能够学习量子算法中的单位量子演化过程。

This dataset contains input-output mappings for various quantum circuits, including random circuits, entangled circuits, quantum full adders, and others. Specifically, the dataset includes mapping information for multiple circuit types such as 4-qubit random circuits, 2-qubit entangled circuits, and two types of full adder circuits. The task of this dataset is to train neural networks to learn the unitary quantum evolution processes in quantum algorithms.