laboneq_applications.contrib.experiments.time_rabi_chevron

This module defines the time rabi chevron experiment.

In this experiment, we sweep the frequency and the amplitude of the drive pulse.

The time_rabi_chevron experiment has the following pulse sequence:

qb --- [ prep transition ] --- [ qop (swept frequency, swept length)]
   --- [ 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, frequencies, lengths, options=None)

Creates a Qubit Spectroscopy Experiment.

Parameters:

Name	Type	Description	Default
qpu	QPU	The qpu consisting of the original qubits and quantum operations.	required
qubits	Qubits	The qubits to run the experiments on. May be either a single qubit or a list of qubits.	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. It must be a list of numbers or arrays or 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, amplitudes, and frequencies are not of the same length.
ValueError	If amplitudes and frequencies are not a list of numbers when a single qubit is passed.
ValueError	If frequencies is not a list of lists of numbers. If amplitudes is not None or a list of lists of numbers.

Example

options = TuneupExperimentOptions()
options.count = 10
qpu = QPU(
    qubits=[TunableTransmonQubit("q0"), TunableTransmonQubit("q1")],
    quantum_operations=TunableTransmonOperations(),
)
temp_qubits = qpu.copy_qubits()
create_experiment(
    qpu=qpu,
    qubits=temp_qubits,
    frequencies = [
        np.linspace(5.8e9, 6.2e9, 101),
        np.linspace(0.8e9, 1.2e9, 101)
    ],
    lengths=[[0.1e-6, 0.5e-6, 1e-6], [0.1e-6, 0.5e-6, 1e-6]],
    options=options,
)

experiment_workflow(session, qpu, qubits, frequencies, lengths, options=None)

The Qubit Spectroscopy Workflow.

The workflow consists of the following steps:

• create_experiment
• compile_experiment
• run_experiment
• analysis_workflow (optional)

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	Qubits	The qubits to run the experiments on. May be either a single qubit or a list of qubits.	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	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 = experiment_workflow.options()
options.count(10)
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,
    frequencies = [
        np.linspace(5.8e9, 6.2e9, 101),
        np.linspace(0.8e9, 1.2e9, 101)
    ],
    lengths=[[0.1e-6, 0.5e-6, 1e-6], [0.1e-6, 0.5e-6, 1e-6]],
    options=options,
).run()