cirq.experiments.xeb_fitting.fit_exponential_decays

Fit exponential decay curves to a fidelities DataFrame.

cirq.experiments.xeb_fitting.fit_exponential_decays(
    fidelities_df: pd.DataFrame
) -> pd.DataFrame

Used in the tutorials
Parallel XEB Cross Entropy Benchmarking Theory Identifying Hardware Changes

Args
`fidelities_df`	A DataFrame that is the result of `benchmark_2q_xeb_fidelities`. It may contain results for multiple pairs of qubits identified by the "pair" column. Each pair will be fit separately. At minimum, this dataframe must contain "cycle_depth", "fidelity", and "pair" columns.

Returns
A new, aggregated dataframe with index given by (pair, layer_i, pair_i); columns for the fit parameters "a" and "layer_fid"; and nested "cycles_depths" and "fidelities" lists (now grouped by pair).

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2022-05-11 UTC.

Args