FineXDrag#

class FineXDrag(physical_qubits, backend=None)[source]#

Class to fine characterize the DRAG parameter of an X gate.

Analysis class reference

ErrorAmplificationAnalysis

Experiment options

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

Options

  • Defined in the class FineXDrag:

    • gate (Gate)

      Default value: Instance of XGate
      FineXDrag calibrates an XGate.

  • Defined in the class FineDrag:

    • repetitions (List[int])

      Default value: [0, 1, 2, 3, 4, …]
      A list of the number of times that Rp - Rm gate sequence is repeated.

    • schedule (ScheduleBlock)

      Default value: None
      The schedule for the plus rotation.

  • 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

Initialization

Initialize the experiment.

Attributes

analysis: BaseAnalysis#

Return the analysis instance for the experiment

backend#

Return the backend for the experiment

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 circuits for the fine DRAG calibration experiment.

Returns:

A list of circuits with a variable number of gates. Each gate has the same pulse schedule.

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

enable_restless(rep_delay=None, override_processor_by_restless=True, suppress_t1_error=False)#

Enables a restless experiment by setting the restless run options and the restless data processor.

Parameters:

  • rep_delay (float | None) – The repetition delay. This is the delay between a measurement and the subsequent quantum circuit. Since the backends have dynamic repetition rates, the repetition delay can be set to a small value which is required for restless experiments. Typical values are 1 us or less.

  • override_processor_by_restless (bool) – If False, a data processor that is specified in the analysis options of the experiment is not overridden by the restless data processor. The default is True.

  • suppress_t1_error (bool) – If True, the default is False, then no error will be raised when rep_delay is larger than the T1 times of the qubits. Instead, a warning will be logged as restless measurements may have a large amount of noise.

Raises:

  • DataProcessorError – If the attribute rep_delay_range is not defined for the backend.

  • DataProcessorError – If a data processor has already been set but override_processor_by_restless is True.

  • DataProcessorError – If the experiment analysis does not have the data_processor option.

  • DataProcessorError – If the rep_delay is equal to or greater than the T1 time of one of the physical qubits in the experiment and the flag ignore_t1_check is False.

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

See also

The Setting options for your experiment guide for code example.

set_transpile_options(**fields)#

Set the transpiler options for run() method.

Parameters:

fields – The fields to update the options

Raises:

QiskitError – If initial_layout is one of the fields.

See also

The Setting options for your experiment guide for code example.