RBFitter¶

class RBFitter(backend_result, cliff_lengths, rb_pattern=None)[source]¶

Class for fitters for randomized benchmarking.

Parameters

backend_result (Result) – list of results (qiskit.Result).
cliff_lengths (list) – the Clifford lengths, 2D list i x j where i is the number of patterns, j is the number of cliffords lengths.
rb_pattern (list) – the pattern for the RB sequences.

Attributes

`RBFitter.cliff_lengths`	Return clifford lengths.
`RBFitter.fit`	Return fit.
`RBFitter.raw_data`	Return raw data.
`RBFitter.rb_fit_fun`	Return the fit function rb_fit_fun.
`RBFitter.results`	Return all the results.
`RBFitter.seeds`	Return the number of loaded seeds.
`RBFitter.ydata`	Return ydata (means and std devs).

Methods

`RBFitter.add_data`(new_backend_result[, …])	Add a new result.
`RBFitter.calc_data`()	Retrieve probabilities of success from execution results.
`RBFitter.calc_statistics`()	Extract averages and std dev from the raw data (self._raw_data).
`RBFitter.fit_data`()	Fit the RB results to an exponential curve.
`RBFitter.fit_data_pattern`(patt_ind, fit_guess)	Fit the RB results of a particular pattern to an exponential curve.
`RBFitter.plot_rb_data`([pattern_index, ax, …])	Plot randomized benchmarking data of a single pattern.