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Probing quantum processor performance with pyGSTi
Quantum Science and Technology ( IF 6.7 ) Pub Date : 2020-07-08 , DOI: 10.1088/2058-9565/ab8aa4
Erik Nielsen , Kenneth Rudinger , Timothy Proctor , Antonio Russo , Kevin Young , Robin Blume-Kohout

PyGSTi is a Python software package for assessing and characterizing the performance of quantum computing processors. It can be used as a standalone application, or as a library, to perform a wide variety of quantum characterization, verification, and validation (QCVV) protocols on as-built quantum processors. We outline pyGSTi’s structure, and what it can do, using multiple examples. We cover its main characterization protocols with end-to-end implementations. These include gate set tomography, randomized benchmarking on one or many qubits, and several specialized techniques. We also discuss and demonstrate how power users can customize pyGSTi and leverage its components to create specialized QCVV protocols and solve user-specific problems.

中文翻译:

使用pyGSTi探索量子处理器的性能

PyGSTi是一个Python软件包,用于评估和表征量子计算处理器的性能。它可以用作独立的应用程序,也可以用作库,以在建成的量子处理器上执行各种量子表征,验证和确认(QCVV)协议。我们使用多个示例概述pyGSTi的结构及其功能。我们通过端到端的实现覆盖了它的主要特性协议。这些包括门控断层扫描,在一个或多个量子位上的随机基准测试以及几种专门技术。我们还将讨论并演示高级用户如何定制pyGSTi并利用其组件创建专门的QCVV协议并解决用户特定的问题。
更新日期:2020-07-09
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