Dataset for Quantum Circuits Mapping

The proposed dataset helps to address the quantum circuit mapping problem as a classification task. Three csv files are provided, each one refers to a specific IBM quantum machine, namely IBMQ Santiago, IBMQ Athens, and IBMQ 16 Melbourne. Each csv file is composed of random quantum circuits mapped onto the specific IBM quantum processor. In detail, each dataset instance contains some features related to the calibration data of the physical device and others related to the generated quantum circuit. Finally, the instance is labeled with a vector encoding the best mapping among those provided by deterministic mapping algorithms.

本研究所提出的数据集旨在解决量子电路映射问题，将其视为一项分类任务。数据集包含三个 CSV 文件，分别对应于特定的 IBM 量子计算机，即 IBMQ 圣地亚哥、IBMQ 雅典以及 IBMQ 16 墨尔本。每个 CSV 文件由随机映射至特定 IBM 量子处理器的量子电路组成。具体而言，每个数据集实例包含与物理设备校准数据相关的某些特征，以及与生成的量子电路相关的其他特征。最终，每个实例均通过一个向量进行标记，该向量编码了由确定性映射算法提供的最佳映射方案。