FineSXAmplitude

class FineSXAmplitude(physical_qubits, backend=None)[source]

A fine amplitude experiment with all the options set for the \(\pi/2\)-rotation.

Overview

FineSXAmplitude is a subclass of FineAmplitude and is used to set the appropriate values for the default options.

Analysis class reference

FineAmplitudeAnalysis

Experiment options

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

Options

  • Defined in the class FineSXAmplitude:

    • gate (Gate)

      Default value: Instance of SXGate
      FineSXAmplitude calibrates an SXGate.

    • add_cal_circuits (bool)

      Default value: False
      If set to True then two circuits to calibrate 0 and 1 points will be added. This option is set to False by default for FineSXAmplitude since the amplitude calibration can be achieved with two SX gates and this is included in the repetitions.

    • repetitions (List[int])

      Default value: [0, 1, 2, 3, 5, …]
      By default the repetitions take on odd numbers for \(\pi/2\) target angles as this ideally prepares states on the equator of the Bloch sphere. Note that the repetitions include two repetitions which plays the same role as including a circuit with an X gate.

  • Defined in the class FineAmplitude:

    • normalization (bool)

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

  • 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.library import FineSXAmplitude

exp = FineSXAmplitude(physical_qubits=(0,), backend=backend)

exp_data = exp.run().block_for_results()
display(exp_data.figure(0))
exp_data.analysis_results(dataframe=True)
../_images/qiskit_experiments.library.characterization.FineSXAmplitude_1_0.png
name experiment components value quality backend run_time chisq
d11ba666 d_theta FineSXAmplitude [Q0] 0.0486+/-0.0006 good aer_simulator None 0.868648

See also

Initialization

Initialize the experiment.

Attributes

analysis

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 amplitude calibration experiment.

Returns:

A list of circuits with a variable number of gates.

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)

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.