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- W3135607402 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." @default.
- W3135607402 created "2021-03-15" @default.
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- W3135607402 date "2021-03-03" @default.
- W3135607402 modified "2023-09-27" @default.
- W3135607402 title "Efficient flexible characterization of quantum processors with nested error models" @default.
- W3135607402 hasPublicationYear "2021" @default.
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