论文标题
QPACK分数：面向应用程序的量子计算机基准测试的定量性能指标
QPack Scores: Quantitative performance metrics for application-oriented quantum computer benchmarking
论文作者
论文摘要
本文介绍了QPACK的基准分数定义，QPACK是一种面向应用程序的跨平台基准测试套件，用于量子计算机和模拟器，该套件使用可扩展的量子近似近似优化算法和变异量子量化量级质量质量应用程序。使用一组基准应用程序，可以定量地对量子计算机或其模拟器在一般的NISQ-era应用程序上执行的表现良好。本文介绍了哪些量子执行数据可以收集并转换为基准分数，以进行面向应用程序的量子测试。根据运行时，准确性，可伸缩性和容量性能给出了总体基准分数以及子得分的定义。使用这些分数，在本地和供应商的远程云服务上运行的各种量子计算机模拟器之间进行了比较。我们还使用QPACK基准来收集IBMQ内罗毕量子处理器的一小部分量子执行数据。 QPACK基准分数的目标是对量子性能进行整体见解，并能够在不同的量子计算机之间进行简单快速的比较
This paper presents the benchmark score definitions of QPack, an application-oriented cross-platform benchmarking suite for quantum computers and simulators, which makes use of scalable Quantum Approximate Optimization Algorithm and Variational Quantum Eigensolver applications. Using a varied set of benchmark applications, an insight of how well a quantum computer or its simulator performs on a general NISQ-era application can be quantitatively made. This paper presents what quantum execution data can be collected and transformed into benchmark scores for application-oriented quantum benchmarking. Definitions are given for an overall benchmark score, as well as sub-scores based on runtime, accuracy, scalability and capacity performance. Using these scores, a comparison is made between various quantum computer simulators, running both locally and on vendors' remote cloud services. We also use the QPack benchmark to collect a small set of quantum execution data of the IBMQ Nairobi quantum processor. The goal of the QPack benchmark scores is to give a holistic insight into quantum performance and the ability to make easy and quick comparisons between different quantum computers
