FineFrequencyCal

class FineFrequencyCal(physical_qubits, calibrations, backend=None, cal_parameter_name='drive_freq', delay_duration=None, repetitions=None, auto_update=True, gate_name='sx')

A calibration version of the fine frequency experiment.

Analysis class reference

ErrorAmplificationAnalysis

Experiment options

These options can be set by the set_experiment_options() method.

Options

• Defined in the class FineFrequencyCal:

  • dt (float)

    Default value: None

    The duration of the time unit dt of the delay and schedules in seconds.

• Defined in the class BaseCalibrationExperiment:

  • result_index (int)

    Default value: -1

    The index of the result from which to update the calibrations.

  • group (str)

    Default value: "default"

    The calibration group to which the parameter belongs. This will default to the value “default”.

• Defined in the class FineFrequency:

  • repetitions (List[int])

    Default value: [0, 1, 2, 3, 4, …]

    A list of the number of times that the delay is repeated.

  • delay_duration (int)

    Default value: None

    The duration of the delay as the number of dt s it contains. The total length of the delay in units of dt will be n times delay_duration where n also determines the rotation angle of the RZGate by $n\pi /2$.

• Defined in the class BaseExperiment:

  • max_circuits (Optional[int])

    Default value: None

    The maximum number of circuits per job when running an experiment on a backend.

Example

from qiskit_experiments.calibration_management.calibrations import Calibrations
from qiskit_experiments.calibration_management.basis_gate_library             import FixedFrequencyTransmon
from qiskit_experiments.library.calibration.fine_frequency_cal import FineFrequencyCal

cals = Calibrations.from_backend(backend=backend, libraries=[FixedFrequencyTransmon()])
exp_cal = FineFrequencyCal((0,), cals, backend=backend, auto_update=False, gate_name="sx")

cal_data=exp_cal.run().block_for_results()
display(cal_data.figure(0))
cal_data.analysis_results(dataframe=True)

	name	experiment	components	value	quality	backend	run_time	chisq
957045f7	@Parameters_ErrorAmplificationAnalysis	FineFrequencyCal	[Q0]	CurveFitResult:\n - fitting method: least_squa...	good	aer_simulator_from(fake_perth)	None	None
4d9363bb	d_theta	FineFrequencyCal	[Q0]	-0.00034+/-0.00032	good	aer_simulator_from(fake_perth)	None	1.090426

See also

• Superclass qiskit_experiments.calibration_management.base_calibration_experiment.BaseCalibrationExperiment

• Superclass qiskit_experiments.library.characterization.fine_frequency.FineFrequency

Initialization

See class FineFrequency for details.

Note that this class implicitly assumes that the target angle of the gate is $\pi /2$ as seen from the default analysis options. This experiment can be seen as a calibration of a finite duration rz(pi/2) gate with any error attributed to a frequency offset in the qubit.

Parameters:

• physical_qubits (Sequence[int]) – Sequence containing the qubit for which to run the fine frequency calibration.

• calibrations (Calibrations) – The calibrations instance with the schedules.

• backend (Backend | None) – Optional, the backend to run the experiment on.

• cal_parameter_name (str | None) – The name of the parameter to update in the calibrations. This defaults to drive_freq.

• delay_duration (int | None) – The duration of the delay at $n=1$. If this value is not given then the duration of the gate named gate_name in the calibrations will be used.

• auto_update (bool) – Whether to automatically update the calibrations or not. By default, this variable is set to True.

• gate_name (str) – This argument is only needed if delay_duration is None. This should be the name of a valid schedule in the calibrations.

Attributes

analysis

Return the analysis instance for the experiment.

Note

Analysis instance set to calibration experiment is implicitly patched to run calibration updater to update the parameters in the calibration table.

backend

Return the backend for the experiment

calibrations

Return the calibrations.

experiment_options

Return the options for the experiment.

experiment_type

Return experiment type.

num_qubits

Return the number of qubits for the experiment.

physical_qubits

Return the device qubits for the experiment.

run_options

Return options values for the experiment run() method.

transpile_options

Return the transpiler options for the run() method.

Methods

circuits()

Return the list of quantum circuits to run.

Return type:

List[QuantumCircuit]

config()

Return the config dataclass for this experiment

Return type:

ExperimentConfig

copy()

Return a copy of the experiment

Return type:

BaseExperiment

classmethod from_config(config)

Initialize an experiment from experiment config

Return type:

BaseExperiment

job_info(backend=None)

Get information about job distribution for the experiment on a specific backend.

Parameters:

backend (Backend) – Optional, the backend for which to get job distribution information. If not specified, the experiment must already have a set backend.

Returns:

A dictionary containing information about job distribution.

• ”Total number of circuits in the experiment”: Total number of circuits in the experiment.

• ”Maximum number of circuits per job”: Maximum number of circuits in one job based on backend and experiment settings.

• ”Total number of jobs”: Number of jobs needed to run this experiment on the currently set backend.

Return type:

dict

Raises:

QiskitError – if backend is not specified.

run(backend=None, sampler=None, analysis='default', timeout=None, backend_run=None, **run_options)

Run an experiment and perform analysis.

Parameters:

• backend (Backend | None) – Optional, the backend to run on. Will override existing backend settings.

• sampler (BaseSamplerV2 | None) – Optional, the sampler to run the experiment on. If None then a sampler will be invoked from previously set backend

• analysis (BaseAnalysis | None) – Optional, a custom analysis instance to use for performing analysis. If None analysis will not be run. If "default" the experiments analysis() instance will be used if it contains one.

• timeout (float | None) – Time to wait for experiment jobs to finish running before cancelling.

• backend_run (bool | None) – Use backend run (temp option for testing)

• run_options – backend runtime options used for circuit execution.

Returns:

The experiment data object.

Raises:

QiskitError – If experiment is run with an incompatible existing ExperimentData container.

Return type:

ExperimentData

set_experiment_options(**fields)

Set the experiment options.

Parameters:

fields – The fields to update the options

Raises:

AttributeError – If the field passed in is not a supported options

set_run_options(**fields)

Set options values for the experiment run() method.

Parameters:

fields – The fields to update the options

See also

The Setting options for your experiment guide for code example.

set_transpile_options(**fields)

Add a warning message.

Note

If your experiment has overridden _transpiled_circuits and needs transpile options then please also override set_transpile_options.

update_calibrations(experiment_data)

Update the qubit frequency based on the measured angle deviation.

The frequency of the qubit is updated according to

$$f\to f-\frac{\mathrm{d}\theta }{2\pi \tau \mathrm{d}t}$$

Here, $\mathrm{d}\theta$ is the measured angle error from the fit. The duration of the single qubit-gate is $\tau$ in samples and $\mathrm{d}t$ is the duration of a sample. This is also the duration of the time unit dt of the delay.