analysis

tergite_autocalibration.lib.nodes.coupler.spectroscopy.analysis

Classes:

Name	Description
`QubitSpectroscopyVsCurrentCouplerAnalysis`	This class analyzes the qubit spectroscopy data as a function of the current for a coupler.
`QubitSpectroscopyVsCurrentNodeAnalysis`	This class analyzes the qubit spectroscopy data as a function of the current for all coupler.
`QubitSpectroscopyVsCurrentQubitAnalysis`	This class analyzes the qubit frequencies as obtained from the scpescroscopies
`ResonatorSpectroscopyVsCurrentCouplerAnalysis`	This class analyzes the resonator spectroscopy data as a function of the current for a coupler.
`ResonatorSpectroscopyVsCurrentNodeAnalysis`	This class analyzes the resonator spectroscopy data as a function of the current for all coupler.
`ResonatorSpectroscopyVsCurrentQubitAnalysis`	This class analyzes the resonator spectroscopy fitted frequencies to find crossing currents.

QubitSpectroscopyVsCurrentCouplerAnalysis

QubitSpectroscopyVsCurrentCouplerAnalysis(name, redis_fields)

Bases: BaseCouplerAnalysis

This class analyzes the qubit spectroscopy data as a function of the current for a coupler.

Methods:

Name	Description
`plot`	Plot the fitted values from the analysis
`plot_spectroscopies`	Plot all the spectroscopy analyses for both qubits and save the figures.
`plotter`	Plot the results of the analysis on the provided axes.
`process_coupler`	Setup the coupler data and analyze it.
`rotate_to_probability_axis`	Rotates the S21 IQ points to the real - normalized axis

plot

plot(primary_axis, secondary_axis)

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

plot_spectroscopies

plot_spectroscopies(data_path: Path)

Plot all the spectroscopy analyses for both qubits and save the figures.

plotter

plotter(primary_axis, secondary_axis)

Plot the results of the analysis on the provided axes. Args: primary_axis (plt.Axes): The primary axis for the first qubit. secondary_axis (plt.Axes): The secondary axis for the second qubit.

process_coupler

process_coupler(dataset, coupler_element) -> QOI

Setup the coupler data and analyze it. Args: dataset: xarray dataset with the coupler data coupler_element: name of the coupler 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>

QubitSpectroscopyVsCurrentNodeAnalysis

QubitSpectroscopyVsCurrentNodeAnalysis(name, redis_fields)

Bases: BaseAllCouplersAnalysis

This class analyzes the qubit spectroscopy data as a function of the current for all coupler.

Methods:

Name	Description
`analyze_node`	Analyze the node and save the results to redis.
`open_dataset`	Open the dataset for the analysis.

analyze_node

analyze_node(data_path: Path, index: int = 0) -> QOI

Analyze the node and save the results to redis. Args: data_path: Path to the dataset index: Index of the dataset to be analyzed Returns: analysis_results: Dictionary with the analysis results for each qubit

open_dataset

open_dataset(index: int = 0) -> Dataset

Open the dataset for the analysis.

Parameters:

Name	Type	Description	Default
`index`	`int`	By default 0 for most of the measurements, can be set to load multiple datasets.	`0`

Returns:

Type	Description
`Dataset`	xarray.Dataset with measurement results

QubitSpectroscopyVsCurrentQubitAnalysis

QubitSpectroscopyVsCurrentQubitAnalysis(name, redis_fields)

Bases: BaseQubitAnalysis

This class analyzes the qubit frequencies as obtained from the scpescroscopies to find crossing currents.

Methods:

Name	Description
`analyse_qubit`	This function analyzes the qubit spectroscopy data to find crossing currents.
`plot`	Plot the fitted values from the analysis
`plotter`	Plot the detected frequencies and currents, along with crossing currents.
`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

analyse_qubit() -> list[float, float]

This function analyzes the qubit spectroscopy data to find crossing currents. It processes the dataset, identifies the frequencies and currents, and applies a threshold to find the crossing points.

Returns:

Name	Type	Description
`list`	`list[float, float]`	A list of crossing currents.

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

plotter

plotter(ax: Axes)

Plot the detected frequencies and currents, along with crossing currents. Args: ax (plt.Axes): The axes to plot on.

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>

ResonatorSpectroscopyVsCurrentCouplerAnalysis

ResonatorSpectroscopyVsCurrentCouplerAnalysis(name, redis_fields)

Bases: BaseCouplerAnalysis

This class analyzes the resonator spectroscopy data as a function of the current for a coupler.

Methods:

Name	Description
`analyze_coupler`	This function analyzes the coupler data to find crossing currents for both qubits.
`plot`	Plot the fitted values from the analysis
`plot_spectroscopies`	Plot all the spectroscopy analyses for both qubits and save the figures.
`process_coupler`	Setup the coupler data and analyze it.
`rotate_to_probability_axis`	Rotates the S21 IQ points to the real - normalized axis

analyze_coupler

analyze_coupler()

This function analyzes the coupler data to find crossing currents for both qubits.

plot

plot(primary_axis, secondary_axis)

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

plot_spectroscopies

plot_spectroscopies(data_path: Path)

Plot all the spectroscopy analyses for both qubits and save the figures.

process_coupler

process_coupler(dataset, coupler_element) -> QOI

Setup the coupler data and analyze it. Args: dataset: xarray dataset with the coupler data coupler_element: name of the coupler 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>

ResonatorSpectroscopyVsCurrentNodeAnalysis

ResonatorSpectroscopyVsCurrentNodeAnalysis(name, redis_fields)

Bases: BaseAllCouplersAnalysis

This class analyzes the resonator spectroscopy data as a function of the current for all coupler.

Methods:

Name	Description
`analyze_node`	Analyze the node and save the results to redis.
`open_dataset`	Open the dataset for the analysis.

analyze_node

analyze_node(data_path: Path, index: int = 0) -> QOI

Analyze the node and save the results to redis. Args: data_path: Path to the dataset index: Index of the dataset to be analyzed Returns: analysis_results: Dictionary with the analysis results for each qubit

open_dataset

open_dataset(index: int = 0) -> Dataset

Open the dataset for the analysis.

Parameters:

Name	Type	Description	Default
`index`	`int`	By default 0 for most of the measurements, can be set to load multiple datasets.	`0`

Returns:

Type	Description
`Dataset`	xarray.Dataset with measurement results

ResonatorSpectroscopyVsCurrentQubitAnalysis

ResonatorSpectroscopyVsCurrentQubitAnalysis(name, redis_fields)

Bases: BaseQubitAnalysis

This class analyzes the resonator spectroscopy fitted frequencies to find crossing currents.

Methods:

Name	Description
`analyse_qubit`	This function analyzes the resonator spectroscopy data to find crossing currents.
`plot`	Plot the fitted values from the analysis
`plotter`	Plot the detected frequencies and currents, along with crossing currents.
`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

analyse_qubit() -> list[float, float]

This function analyzes the resonator spectroscopy data to find crossing currents. It processes the dataset, identifies the frequencies and currents, and applies a threshold to find the crossing points.

Returns:

Name	Type	Description
`list`	`list[float, float]`	A list of crossing currents.

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

plotter

plotter(ax: Axes)

Plot the detected frequencies and currents, along with crossing currents. Args: ax (plt.Axes): The axes to plot on.

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>