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.

FineXAmplitudeCal

class FineXAmplitudeCal(physical_qubits, calibrations, schedule_name, backend=None, cal_parameter_name='amp', auto_update=True)

A calibration experiment to calibrate the amplitude of the X schedule.

Analysis class reference

FineAmplitudeAnalysis

Experiment options

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

Options

• Defined in the class FineAmplitudeCal:

  • target_angle (float)

    Default value: 3.141592653589793

    The target angle of the pulse.

• 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 FineAmplitude:

  • repetitions (List[int])

    Default value: [1, 2, 3, 4, 5, …]

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

  • gate (Gate)

    Default value: None

    This is a gate class such as XGate, so that one can obtain a gate by doing options.gate().

  • normalization (bool)

    Default value: True

    If set to True the DataProcessor will normalized the measured signal to the interval [0, 1]. Defaults to True.

  • add_cal_circuits (bool)

    Default value: True

    If set to True then two circuits to calibrate 0 and 1 points will be added. These circuits are often needed to properly calibrate the amplitude of the ping-pong oscillation that encodes the errors. This helps account for state preparation and measurement errors.

• 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

import numpy as np
from qiskit_experiments.calibration_management.calibrations import Calibrations
from qiskit_experiments.calibration_management.basis_gate_library             import FixedFrequencyTransmon
from qiskit_experiments.library import FineXAmplitudeCal

library = FixedFrequencyTransmon(default_values={"duration": 320, "amp": 0.030})
cals = Calibrations.from_backend(backend, libraries=[library])

exp_cal = FineXAmplitudeCal((0,),
                             cals,
                             schedule_name="x",
                             backend=backend,
                             cal_parameter_name="amp",
                             auto_update=True,
                             )

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

	name	experiment	components	value	quality	backend	run_time	chisq
789a7120	@Parameters_FineAmplitudeAnalysis	FineXAmplitudeCal	[Q0]	CurveFitResult:\n - fitting method: least_squa...	good	PulseBackendV2	None	None
575814ac	d_theta	FineXAmplitudeCal	[Q0]	0.1022+/-0.0011	good	PulseBackendV2	None	1.346458

See also

• Superclass qiskit_experiments.library.calibration.fine_amplitude.FineAmplitudeCal

• Superclass qiskit_experiments.calibration_management.base_calibration_experiment.BaseCalibrationExperiment

• Superclass qiskit_experiments.library.characterization.fine_amplitude.FineAmplitude

Initialization

See class FineAmplitude for details.

Parameters:

• physical_qubits (Sequence[int]) – Sequence containing the qubit(s) for which to run the fine amplitude calibration. This can be a pair of qubits which correspond to control and target qubit.

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

• schedule_name (str) – The name of the schedule to calibrate.

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

• cal_parameter_name (str | None) – The name of the parameter in the schedule to update.

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

• gate – The gate to repeat in the quantum circuit. If this argument is None (the default), then the gate is built from the schedule name.

• measurement_qubits – The qubits in the given physical qubits that need to be measured.

Attributes

analysis: BaseAnalysis

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 circuits for the fine amplitude calibration experiment.

Returns:

A list of circuits with a variable number of gates.

Raises:

CalibrationError – If the analysis options do not contain the angle_per_gate.

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.

Deprecated since version 0.8: The method qiskit_experiments.framework.restless_mixin.RestlessMixin.enable_restless() is deprecated as of qiskit-experiments 0.8. It will be removed no earlier than 3 months after the release date. Support for restless experiments has been deprecated.

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, 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 amplitude of the pulse in the calibrations.

The update rule of this experiment is

\[A \to A \frac{\theta_\text{target}}{\theta_\text{target} + {\rm d}\theta}\]

Where \(A\) is the amplitude of the pulse before the update.

Parameters:

experiment_data (ExperimentData) – The experiment data from which to extract the measured over/under rotation used to adjust the amplitude.