Note

This is the documentation for the current state of the development branch of Qiskit Experiments. The documentation or APIs here can change prior to being released.

RoughFrequencyCal¶

class RoughFrequencyCal(physical_qubits, calibrations, frequencies, backend=None, auto_update=True, absolute=True, cal_parameter_name='drive_freq')[source]¶

A calibration experiment that runs QubitSpectroscopy to calibrate the qubit transition frequency.

Analysis class reference

ResonanceAnalysis

Experiment options

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

Options

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 Spectroscopy:
- amp (float)
  
  Default value: 0.1
  
  The amplitude of the spectroscopy pulse. Defaults to 0.1 and must be between 0 and 1.
- duration (int)
  
  Default value: 2.4e-07
  
  The duration of the spectroscopy pulse. Defaults to 1024 samples.
- sigma (float)
  
  Default value: 6e-08
  
  The standard deviation of the flanks of the spectroscopy pulse. Defaults to 256.
- width (int)
  
  Default value: 0
  
  The width of the flat-top part of the GaussianSquare pulse. Defaults to 0.
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.

See also

Superclass qiskit_experiments.calibration_management.base_calibration_experiment.BaseCalibrationExperiment
Superclass qiskit_experiments.library.characterization.qubit_spectroscopy.QubitSpectroscopy
Superclass qiskit_experiments.library.characterization.spectroscopy.Spectroscopy

Initialization

See QubitSpectroscopy for detailed documentation.

Parameters:

physical_qubits (Sequence[int]) – List with the qubit on which to run spectroscopy.
calibrations (Calibrations) – If calibrations is given then running the experiment may update the values of the frequencies stored in calibrations.
frequencies (Iterable[float]) – The frequencies to scan in the experiment, in Hz.
backend (Backend | None) – Optional, the backend to run the experiment on.
auto_update (bool) – If set to True, which is the default, then the experiment will automatically update the frequency in the calibrations.
absolute (bool) – Boolean to specify if the frequencies are absolute or relative to the qubit frequency in the backend.
cal_parameter_name (str | None) – The name of the parameter to update in the calibrations. This defaults to drive_freq.

Raises:

QiskitError – If there are less than three frequency shifts.

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()¶

Create the circuit for the spectroscopy experiment.

The circuits are based on a GaussianSquare pulse and a frequency_shift instruction encapsulated in a gate.

Returns:: The circuits that will run the spectroscopy experiment.
Return type:: circuits

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, analysis='default', timeout=None, **run_options)¶

Run an experiment and perform analysis.

Parameters:

backend (Backend | None) – Optional, the backend to run the experiment on. This will override any currently set backends for the single execution.
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.
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