Journal
QUANTUM SCIENCE AND TECHNOLOGY
Volume 5, Issue 4, Pages -Publisher
IOP Publishing Ltd
DOI: 10.1088/2058-9565/ab8aa4
Keywords
pygsti; gate set tomography; randomized benchmarking; robust phase estimation; quantum characterization; QCVV; Python
Funding
- U.S. Department of Energy's National Nuclear Security Administration [DE-NA0003525]
- Intelligence Advanced Research Projects Activity (IARPA)
- 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
- Laboratory Directed Research and Development program at Sandia National Laboratories
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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.
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