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laboneq_applications.contrib.analysis.time_rabi_chevron

This module defines the analysis for a time rabi chevron experiment.

The experiment is defined in laboneq_applications.experiments.

In this analysis, we first interpret the raw data into qubit populations using principal component analysis or rotation and projection on the measured calibration states. Then we plot the data.

analysis_workflow(result, qubits, frequencies, lengths, options=None)

The Time Rabi analysis Workflow.

The workflow consists of the following steps:

Parameters:

Name Type Description Default
result RunExperimentResults

The experiment results returned by the run_experiment task.

required
qubits Qubits

The qubits on which to run the analysis. May be either a single qubit or a list of qubits. The UIDs of these qubits must exist in the result.

required
frequencies QubitSweepPoints

The qubit frequencies to sweep over for the qubit drive pulse. If qubits is a single qubit, frequencies must be a list of numbers or an array. Otherwise, it must be a list of lists of numbers or arrays.

required
lengths QubitSweepPoints

The lengths to sweep over for each qubit drive pulse. lengths must be a list of numbers or an array. Otherwise it must be a list of lists of numbers or arrays.

required
options TuneUpAnalysisWorkflowOptions | None

The options for building the workflow, passed as an instance of [TuneUpAnalysisWorkflowOptions].

None

Returns:

Name Type Description
WorkflowBuilder None

The builder for the analysis workflow.

Example
options = analysis_workflow.options()
result = analysis_workflow(
    results=results
    qubits=[q0, q1],
    frequencies=[
        np.linspace(1.5e9, 2.0e9, 11),
        np.linsapce(1.5e9, 2.0e9, 11),
    ],
    lengths=[
        np.linspace(10e-9, 100e-9, 11),
        np.linspace(10e-9, 100e-9, 11),
    ],
    options=options,
).run()

plot_population(qubits, processed_data_dict, options=None)

Create the time-Rabi plots.

Parameters:

Name Type Description Default
qubits Qubits

The qubits on which to run the analysis. May be either a single qubit or a list of qubits. The UIDs of these qubits must exist in the processed_data_dict, fit_results and qubit_parameters.

required
processed_data_dict dict[str, dict[str, ArrayLike]]

the processed data dictionary returned by process_raw_data

required
options TuneupAnalysisOptions | None

The options for processing the raw data. See [TuneupAnalysisOptions], [TuneupExperimentOptions] and [BaseExperimentOptions] for accepted options. Overwrites the options from [TuneupAnalysisOptions], [TuneupExperimentOptions] and [BaseExperimentOptions].

None

Returns:

Type Description
dict[str, Figure]

dict with qubit UIDs as keys and the figures for each qubit as values.