4.6 Article

Probing quantum processor performance with pyGSTi

期刊

QUANTUM SCIENCE AND TECHNOLOGY
卷 5, 期 4, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/2058-9565/ab8aa4

关键词

pygsti; gate set tomography; randomized benchmarking; robust phase estimation; quantum characterization; QCVV; Python

资金

  1. U.S. Department of Energy's National Nuclear Security Administration [DE-NA0003525]
  2. Intelligence Advanced Research Projects Activity (IARPA)
  3. U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research Quantum under the Testbed program and Quantum Computing Application Teams (QCAT) program
  4. Laboratory Directed Research and Development program at Sandia National Laboratories

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据