QUEKNO
收藏arXiv2023-01-21 更新2024-08-06 收录
下载链接：
http://arxiv.org/abs/2301.08932v1
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资源简介：
QUEKNO数据集是由悉尼科技大学量子软件与信息中心的研究人员创建，用于评估量子电路转换算法的性能。该数据集包含400个电路，旨在通过这些电路测试和比较不同的量子电路转换算法，如t|ket⟩, SABRE, SAHS, MCTS等。QUEKNO数据集特别设计以具有已知的近似最优转换成本，从而为算法提供一个基准，以评估其在实际量子设备上的表现。这些电路适用于评估门大小和深度最优性，是研究量子计算中电路转换问题的重要资源。
The QUEKNO dataset was developed by researchers from the Quantum Software and Information Center of the University of Technology Sydney for evaluating the performance of quantum circuit transformation algorithms. It consists of 400 circuits, which are intended to test and compare various quantum circuit transformation algorithms including t|ket⟩, SABRE, SAHS, MCTS, and others. The QUEKNO dataset is specifically designed with known approximate optimal transformation costs, serving as a benchmark for algorithms to evaluate their performance on practical quantum devices. These circuits are applicable for assessing gate size and depth optimality, and constitute an important resource for research on circuit transformation issues in the field of quantum computing.
提供机构：
悉尼科技大学量子软件与信息中心
创建时间：
2023-01-21
