Probing quantum processor performance with pyGSTi
Journal Article
·
· Quantum Science and Technology
- 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.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States); Sandia National Laboratories, Livermore, CA
- 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, Journal Name: Quantum Science and Technology Journal Issue: 4 Vol. 5; ISSN 2058-9565
- Publisher:
- IOPscienceCopyright Statement
- Country of Publication:
- United States
- Language:
- English
| Noise-Induced Barren Plateaus in Variational Quantum Algorithms | text | January 2020 |
| Wildcard error: Quantifying unmodeled errors in quantum processors | preprint | January 2020 |
| A context-aware gate set tomography characterization of superconducting qubits | preprint | January 2021 |
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