DragFitter¶

class DragFitter(backend_result, xdata, qubits, fit_p0, fit_bounds=None)[source]¶

Drag Experiment fitter

See IQFitter __init__

fit_p0 is [a, x0, c] where the fit is a*(x-x0)^2+c

Attributes

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

Methods

`DragFitter.add_data`(results[, recalc, refit])	Add new execution results to previous execution results
`DragFitter.drag_amplitude`([qind])	Return the drag amplitude from the fit
`DragFitter.fit_data`([qid, p0, bounds, series])	Fit the curve.
`DragFitter.guess_params`([qind])	Guess parameters for the drag fit
`DragFitter.plot`(qind[, series, ax, show_plot])	Plot the data and fit