BaseCoherenceFitter¶

class BaseCoherenceFitter(description, backend_result, xdata, qubits, fit_fun, fit_p0, fit_bounds, circuit_names, series=None, expected_state='0', time_index=0, time_unit='micro-seconds')[source]¶

Base class for fitters of characteristic times

Parameters

description (str) – description of the fitter’s purpose, e.g. ‘T1’.
backend_result (Union[Result, List[Result]]) – result of execution on the backend.
xdata (Union[List[float], array]) – delay times of the circuits.
qubits (List[int]) – the qubits to be characterized.
fit_fun (Callable[…, float]) – equivalent to parameter f of scipy.curve_fit.
fit_p0 (List[float]) – equivalent to parameter p0 of scipy.curve_fit.
fit_bounds (Tuple[List[float], List[float]]) – equivalent to parameter bounds of scipy.curve_fit.
circuit_names (List[str]) – names of the circuits, should be the same length as xdata. Full circuit name will be these plus the series name.
series (Optional[List[str]]) – list of circuit name tags
expected_state (str) – is the circuit supposed to end up in ‘0’ or ‘1’?
time_index (int) – among parameters of fit_fun, which one is the characteristic time.
time_unit (str) – unit of delay times in xdata.

Attributes

`BaseCoherenceFitter.backend_result`	Return the execution results
`BaseCoherenceFitter.description`	Return the fitter’s purpose, e.g.
`BaseCoherenceFitter.fit_fun`	Return the function used in the fit, e.g.
`BaseCoherenceFitter.measured_qubits`	Return the indices of the qubits to be characterized
`BaseCoherenceFitter.params`	Return the fit function parameters that were calculated by curve_fit
`BaseCoherenceFitter.params_err`	Return the error of the fit function parameters
`BaseCoherenceFitter.series`	Return the list of series for the data
`BaseCoherenceFitter.xdata`	Return the data points on the x-axis, the independenet parameter which is fit against
`BaseCoherenceFitter.ydata`	Return the data points on the y-axis

Methods

`BaseCoherenceFitter.add_data`(results[, …])	Add new execution results to previous execution results
`BaseCoherenceFitter.fit_data`([qid, p0, …])	Fit the curve.
`BaseCoherenceFitter.plot`(qind, series[, ax, …])	Plot coherence data.
`BaseCoherenceFitter.time`([qid, series])	Return the characteristic time for the given qubit and series
`BaseCoherenceFitter.time_err`([qid, series])	Return the error of characteristic time for the given qubit and series