BaseGateFitter
BaseGateFitter(description, backend_result, xdata, qubits, fit_fun, fit_p0, fit_bounds, circuit_names, series=None, expected_state='0')
Base class for fitters of gate errors
See BaseFitter __init__
Attributes
backend_result
Union[qiskit.result.result.Result, List[qiskit.result.result.Result]]
Return the execution results
Return type
description
str
Return the fitter’s purpose, e.g. ‘T1’
Return type
str
fit_fun
Callable
Return the function used in the fit, e.g. BaseFitter._exp_fit_fun
Return type
Callable
measured_qubits
List[int]
Return the indices of the qubits to be characterized
Return type
List
[int
]
params
List[float]
Return the fit function parameters that were calculated by curve_fit
Return type
List
[float
]
params_err
List[float]
Return the error of the fit function parameters
Return type
List
[float
]
series
Optional[List[str]]
Return the list of series for the data
Return type
Optional
[List
[str
]]
xdata
Union[List[float], numpy.array]
Return the data points on the x-axis, the independenet parameter which is fit against
Return type
Union
[List
[float
], array
]
ydata
List[Dict]
Return the data points on the y-axis
The data points are returning in the form of a list of dictionaries:
Return type
List
[Dict
]
Methods
add_data
BaseGateFitter.add_data(results, recalc=True, refit=True)
fit_data
BaseGateFitter.fit_data(qid=- 1, p0=None, bounds=None, series=None)
Fit the curve.
Compute self._params and self._params_err
Parameters
- qid (
int
) – qubit for fitting. If -1 fit for all the qubits - p0 (
Optional
[List
[float
]]) – initial guess, equivalent to p0 in scipy.optimize - bounds (
Optional
[Tuple
[List
[float
],List
[float
]]]) – bounds, equivalent to bounds in scipy.optimize - series (
Optional
[str
]) – series to fit (if None fit all)
plot
BaseGateFitter.plot(qind, series='0', ax=None, show_plot=True)
Plot err data.
Parameters
- qind (int) – qubit index to plot
- series (str) – the series to plot
- ax (Axes) – plot axes
- show_plot (bool) – call plt.show()
Returns
The axes object
Return type
Axes
Raises
ImportError – if matplotlib is not installed