laboneq_applications.experiments.lifetime_measurement

This module defines the lifetime_measurement experiment.

In this experiment, the qubit is first excited to either its first or a higher excited state and then allowed to relax back to the ground state over a variable delay period, enabling us to measure the qubit's longitudinal relaxation time, lifetime_measurement, for the respective state.

The lifetime_measurement experiment has the following pulse sequence:

qb --- [ prep transition ] --- [ x180_transition ] --- [delay] --- [ 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, delays, options=None)

Creates a lifetime_measurement Experiment.

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
delays	QubitSweepPoints	The delays to sweep over for each qubit. If qubits is a single qubit, amplitudes 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_delays are not of the same length.
ValueError	If qubit_delays is not a list of numbers when a single qubit is passed.
ValueError	If qubit_delays is not a list of lists of numbers.
ValueError	If the experiment uses calibration traces and the averaging mode is sequential.

Example

options = {
    "count": 10,
    "transition": "ge",
    "averaging_mode": "cyclic",
    "acquisition_type": "integration_trigger",
    "cal_traces": True,
}
options = TuneupExperimentOptions(**options)
setup = DeviceSetup("my_device")
qpu = QPU(
    quantum_elements=[TunableTransmonQubit("q0"), TunableTransmonQubit("q1")],
    quantum_operations=TunableTransmonOperations(),
)
temp_qubits = qpu.copy_quantum_elements()
create_experiment(
    qpu=qpu,
    qubits=temp_qubits,
    delays=[[10e-9, 50e-9, 1], [10e-9, 50e-9, 1]],
    options=options,
)

experiment_workflow(session, qpu, qubits, delays, temporary_parameters=None, options=None)

The lifetime_measurement experiment Workflow.

The workflow consists of the following steps:

• create_experiment
• compile_experiment
• run_experiment

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	The qubits to run the experiments on. May be either a single qubit or a list of qubits.	required
delays	QubitSweepPoints	The delays to sweep over for each qubit. If qubits is a single qubit, delays must be a list of numbers or an array. Otherwise it must be a list of lists of numbers or arrays.	required
temporary_parameters	dict[str | tuple[str, str, str], dict | QuantumParameters] | None	The temporary parameters with which to update the quantum elements and topology edges. For quantum elements, the dictionary key is the quantum element UID. For topology edges, the dictionary key is the edge tuple (tag, source node UID, target node UID).	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
result	None	The result of the workflow.

Example

options = TuneUpWorkflowOptions()
options.create_experiment.count = 10
options.create_experiment.transition = "ge"
setup = DeviceSetup("my_device")
qpu = QPU(
    quantum_elements=[TunableTransmonQubit("q0"), TunableTransmonQubit("q1")],
    quantum_operations=TunableTransmonOperations(),
)
temp_qubits = qpu.copy_quantum_elements()
result = run(
    session=session,
    qpu=qpu,
    qubits=temp_qubits,
    delays=[[10e-9, 50e-9, 1], [10e-9, 50e-9, 1]],
    options=options,
)