Efficient flexible characterization of quantum processors with nested error models
Journal Article
·
· New Journal of Physics
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
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.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- Grant/Contract Number:
- NA0003525
- OSTI ID:
- 1828015
- Alternate ID(s):
- OSTI ID: 23180272
- Report Number(s):
- SAND--2021-11006J; 699163
- Journal Information:
- New Journal of Physics, Journal Name: New Journal of Physics Journal Issue: 9 Vol. 23; ISSN 1367-2630
- Publisher:
- IOP PublishingCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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