Probing quantum processor performance with pyGSTi

Nielsen, Erik; Rudinger, Kenneth; Proctor, Timothy; Russo, Antonio; Young, Kevin; Blume-Kohout, Robin

doi:10.1088/2058-9565/ab8aa4

Title: Probing quantum processor performance with pyGSTi

Journal Article · Thu Jul 09 00:00:00 EDT 2020 · Quantum Science and Technology

DOI:https://doi.org/10.1088/2058-9565/ab8aa4· OSTI ID:1668693

^[1];

^[1]; Blume-Kohout, Robin ^[1]

Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States). Quantum Performance Lab.

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. In this work, 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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Research Organization:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC04-94AL85000; NA0003525

OSTI ID:: 1668693

Report Number(s):: SAND-2020-5452J; 686319

Journal Information:: Quantum Science and Technology, Vol. 5, Issue 4; ISSN 2058-9565

Publisher:: IOPscienceCopyright Statement

Country of Publication:: United States

Language:: English

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Cited By (3)

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