iqm.benchmarks.randomized_benchmarking.randomized_benchmarking_common.fit_decay_lmfit

iqm.benchmarks.randomized_benchmarking.randomized_benchmarking_common.fit_decay_lmfit#

iqm.benchmarks.randomized_benchmarking.randomized_benchmarking_common.fit_decay_lmfit(func: Callable, qubit_set: list[int], data: list[list[float]] | list[list[list[float]]], rb_identifier: str, simultaneous_fit_vars: list[str] | None = None, interleaved_gate_str: str | None = None) → tuple[ndarray, Parameters]#

Perform a fitting routine for 0th-order (Ap^m+B) RB using lmfit.

Parameters:

  • func (Callable) – the model function for fitting

  • qubit_set (list[int]) – the qubits entering the model

  • data (list[list[float]] | list[list[list[float]]]) – the data to be fitted

  • rb_identifier (str) – the RB identifier, either “stdrb”, “irb” or “mrb”

  • simultaneous_fit_vars (list[str] | None) – the list of variables used to fit simultaneously

  • interleaved_gate_str (str | None) – the name of the interleaved gate in IRB

Returns:

A tuple of fitting data (list of lists of average fidelities or polarizations) and MRB fit parameters

Return type:

tuple[ndarray, Parameters]

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