Efficient flexible characterization of quantum processors with nested error models
Abstract
We present a simple and powerful technique for finding a good error model for a quantum processor. The technique iteratively tests a nested sequence of models against data obtained from the processor, and keeps track of the best-fit model and its wildcard error (a metric of the amount of unmodeled error) at each step. Each best-fit model, along with a quantification of its unmodeled error, constitutes a characterization of the processor. We explain how quantum processor models can be compared with experimental data and to each other. We demonstrate the technique by using it to characterize a simulated noisy two-qubit processor.
- Authors:
-
[1];
[1];
[1];
[1];
[1]
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- OSTI Identifier:
- 1828015
- Report Number(s):
- SAND-2021-11006J
Journal ID: ISSN 1367-2630; 699163; TRN: US2215988
- Grant/Contract Number:
- NA0003525
- Resource Type:
- Accepted Manuscript
- Journal Name:
- New Journal of Physics
- Additional Journal Information:
- Journal Volume: 23; Journal Issue: 9; Journal ID: ISSN 1367-2630
- Publisher:
- IOP Publishing
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS
Citation Formats
Nielsen, Erik, Rudinger, Kenneth, Proctor, Timothy, Young, Kevin, and Blume-Kohout, Robin. Efficient flexible characterization of quantum processors with nested error models. United States: N. p., 2021.
Web. doi:10.1088/1367-2630/ac20b9.
Nielsen, Erik, Rudinger, Kenneth, Proctor, Timothy, Young, Kevin, & Blume-Kohout, Robin. Efficient flexible characterization of quantum processors with nested error models. United States. https://doi.org/10.1088/1367-2630/ac20b9
Nielsen, Erik, Rudinger, Kenneth, Proctor, Timothy, Young, Kevin, and Blume-Kohout, Robin. Mon .
"Efficient flexible characterization of quantum processors with nested error models". United States. https://doi.org/10.1088/1367-2630/ac20b9. https://www.osti.gov/servlets/purl/1828015.
@article{osti_1828015,
title = {Efficient flexible characterization of quantum processors with nested error models},
author = {Nielsen, Erik and Rudinger, Kenneth and Proctor, Timothy and Young, Kevin and Blume-Kohout, Robin},
abstractNote = {We present a simple and powerful technique for finding a good error model for a quantum processor. The technique iteratively tests a nested sequence of models against data obtained from the processor, and keeps track of the best-fit model and its wildcard error (a metric of the amount of unmodeled error) at each step. Each best-fit model, along with a quantification of its unmodeled error, constitutes a characterization of the processor. We explain how quantum processor models can be compared with experimental data and to each other. We demonstrate the technique by using it to characterize a simulated noisy two-qubit processor.},
doi = {10.1088/1367-2630/ac20b9},
journal = {New Journal of Physics},
number = 9,
volume = 23,
place = {United States},
year = {Mon Sep 13 00:00:00 EDT 2021},
month = {Mon Sep 13 00:00:00 EDT 2021}
}
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