laboneq_applications.contrib.experiments.time_rabi

This module defines the time-rabi experiment.

In this experiment, we sweep the length of a drive pulse on a given qubit transition in order to determine the pulse length that induces a rotation of pi.

The time-rabi experiment has the following pulse sequence:

qb --- [ prep transition ] --- [ x180_transition ] --- [ measure ]

If multiple qubits are passed to the run workflow, the above pulses are applied in parallel on all the qubits.

create_experiment(qpu, qubits, lengths, options=None)

Creates a length-Rabi experiment Workflow.

Parameters:

Name	Type	Description	Default
qpu	QPU	The qpu consisting of the original qubits and quantum operations.	required
qubits	QuantumElements	The qubits to run the experiments on. May be either a single qubit or a list of qubits.	required
lengths	QubitSweepPoints	The drive-pulse lengths to sweep over for each qubit. If qubits is a single qubit, lengths must be a list of numbers or an array. Otherwise it must be a list of lists of numbers or arrays.	required
options	TuneupExperimentOptions | None	The options for building the experiment. See [TuneupExperimentOptions] and [BaseExperimentOptions] for accepted options. Overwrites the options from [TuneupExperimentOptions] and [BaseExperimentOptions].	None

Returns:

Name	Type	Description
experiment	Experiment	The generated LabOne Q experiment instance to be compiled and executed.

Raises:

Type	Description
ValueError	If the qubits and qubit_lengths are not of the same length.
ValueError	If qubit_lengths is not a list of numbers when a single qubit is passed.
ValueError	If qubit_lengths is not a list of lists of numbers.

Example

options = TuneupExperimentOptions()
options.count = 10
options.transition = "ge"
options.cal_traces = True
qpu = QPU(
    qubits=[TunableTransmonQubit("q0"), TunableTransmonQubit("q1")],
    quantum_operations=TunableTransmonOperations(),
)
temp_qubits = qpu.copy_qubits()
create_experiment(
    qpu=qpu,
    qubits=temp_qubits,
    lengths=[
        np.linspace(100e-9, 500e-9, 11),
        np.linspace(100e-9, 500e-9, 11),
    ],
    options=options,
)

evaluate_experiment(analysis_results, qubits, evaluation_parameters=None)

Evaluates the time Rabi analysis workflow result.

Parameters:

Name	Type	Description	Default
analysis_results	WorkflowResult	The analysis workflow results.	required
qubits	QuantumElements	The qubits to run the experiments on.	required
evaluation_parameters	dict[str, Any] | None	The evaluation parameters.	None

Returns:

Type	Description
dict[str, dict[str, bool]]	The evaluation flags.

experiment_workflow(session, qpu, qubits, *, lengths, evaluation_parameters=None, temporary_parameters=None, options=None)

The Time Rabi Workflow.

The workflow consists of the following steps:

• create_experiment
• compile_experiment
• run_experiment
• analysis_workflow
• evaluate_experiment
• update_qpu

Changed in version 26.4.0.

The evaluation_parameters argument has been added, which is the dictionary of parameters used for the newly added evaluation task. All arguments apart from session, qpu, and qubits are now keyword arguments.

Changed in version 26.1.0.

The temporary_parameters positional argument was added in the penultimate position. Note that this is a breaking change if calling the experiment workflow with the options positional argument.

Deprecated in version 26.1.0.

The qubits argument of type QuantumElements is deprecated. Please pass qubits of type list[str] | str instead, i.e., the quantum element UIDs instead of the quantum element instances.

Parameters:

Name	Type	Description	Default
session	Session	The connected session to use for running the experiment.	required
qpu	QPU	The qpu consisting of the original qubits and quantum operations.	required
qubits	QuantumElements | list[str] | str	The qubits to run the experiments on, passed by UID. May be either a single qubit or a list of qubits.	required
lengths	QubitSweepPoints	The drive-pulse lengths to sweep over for each qubit. If qubits is a single qubit, lengths must be a list of numbers or an array. Otherwise it must be a list of lists of numbers or arrays.	required
evaluation_parameters	dict[str, Any] | None	The dictionary of parameters used for the evaluation task. The default evaluation parameters are defined in the evaluate_experiment task.	None
temporary_parameters	dict[str, dict | QuantumParameters] | None	The temporary parameters to update the qubits with.	None
options	TuneUpWorkflowOptions | None	The options for building the workflow. In addition to options from [WorkflowOptions], the following custom options are supported: - create_experiment: The options for creating the experiment.	None

Returns:

Name	Type	Description
WorkflowBuilder	None	The builder of the experiment workflow.

Example

options = experiment_workflow.options()
options.count(10)
options.create_experiment.transition = "ge"
qpu = QPU(
    qubits=[TunableTransmonQubit("q0"), TunableTransmonQubit("q1")],
    quantum_operations=TunableTransmonOperations(),
)
temp_qubits = qpu.copy_qubits()
result = experiment_workflow(
    session=session,
    qpu=qpu,
    qubits=temp_qubits,
    lengths=[
        np.linspace(100e-9, 500e-9, 11),
        np.linspace(100e-9, 500e-9, 11),
    ],
    options=options,
).run()