analysis

tergite_autocalibration.lib.nodes.qubit_control.motzoi_parameter.analysis

Classes:

Name	Description
`MotzoiBaseQubitAnalysis`

MotzoiBaseQubitAnalysis

MotzoiBaseQubitAnalysis(name, redis_fields)

Bases: BaseQubitAnalysis

Methods:

Name	Description
`analyse_qubit`	Run the actual analysis function
`plot`	Plot the fitted values from the analysis
`process_qubit`	Setup the qubit data and analyze it.
`rotate_to_probability_axis`	Rotates the S21 IQ points to the real - normalized axis

analyse_qubit `abstractmethod`

analyse_qubit() -> QOI

Run the actual analysis function

Returns:

Type	Description
`QOI`	The quantity of interest as QOI wrapped object

plot

plot(primary_axis)

Plot the fitted values from the analysis Args: primary_axis: The axis object from matplotlib to be plotted Returns: None, will just plot the fitted values

process_qubit

process_qubit(dataset, qubit_element) -> QOI

Setup the qubit data and analyze it. Args: dataset: xarray dataset with the qubit data qubit_element: name of the qubit element Returns: QOI: Quantity of interest as QOI wrapped object

rotate_to_probability_axis

rotate_to_probability_axis(complex_measurement_data)

Rotates the S21 IQ points to the real - normalized axis that describes the |0> - |1> axis. !!! It Assumes that complex_measurement_data[-2] corresponds to the |0> and complex_measurement_data[-1] corresponds to the |1>