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arXiv · 2103.02188

Efficient flexible characterization of quantum processors with nested error models

Erik Nielsen·Kenneth Rudinger·Timothy Proctor·Kevin Young·Robin Blume-Kohout
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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 quantification of the unmodeled error) at each step. Each best-fit model, along with a quantification of its unmodeled error, constitute 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 2-qubit processor.

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Erik Nielsen, Kenneth Rudinger, Timothy Proctor, Kevin Young, Robin Blume-Kohout. 2021-03-03. Efficient flexible characterization of quantum processors with nested error models. https://doi.org/10.1088/1367-2630/ac20b9

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