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.
MultiStateDiscrimination¶
- class MultiStateDiscrimination(physical_qubits, backend=None, n_states=None, schedules=None)[source]¶
An experiment that discriminates between the first \(n\) energy states.
Overview
The experiment creates \(n\) circuits that prepare, respectively, the energy states \(|0\rangle,\cdots,|n-1\rangle\). For, e.g., \(n=4\) the circuits are of the form
Circuit preparing \(|0\rangle\) ░ ┌─┐ q: ─░─┤M├ ░ └╥┘ meas: ════╩═ ... Circuit preparing \(|3\rangle\) ┌───┐┌─────┐┌─────┐ ░ ┌─┐ q: ┤ X ├┤ x12 ├┤ x23 ├─░─┤M├ └───┘└─────┘└─────┘ ░ └╥┘ meas: ═══════════════════════╩═
References
Analysis class reference
MultiStateDiscriminationAnalysis
Experiment options
These options can be set by the
set_experiment_options()
method.- Options
Defined in the class
MultiStateDiscrimination
:n_states (int)
Default value:2
The number of states to discriminate.schedules (dict)
Default value:None
A dictionary of the schedules for the gates in the experiment. Each key is a gate name of the formxii+1
which should implement an x-rotation between leveli
andi+1
.
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.characterization import MultiStateDiscrimination exp=MultiStateDiscrimination((0,), backend=backend) exp_data=exp.run().block_for_results() display(exp_data.figure(0)) exp_data.analysis_results(dataframe=True)
name experiment components value quality backend run_time a540549f discriminator_config MultiStateDiscrimination [Q0] {'params': {'priors': None, 'reg_param': 0.0, ... None PulseBackendV2 None 83bbf2ba fidelity MultiStateDiscrimination [Q0] 0.989746 None PulseBackendV2 None Initialization
Setup an experiment to prepare different energy states on a given qubit.
- Parameters:
physical_qubits (Sequence[int]) – A single-element sequence containing the qubit on which to run the experiment.
backend (Backend | None) – Optional, the backend to run the experiment on.
n_states (int | None) – The number of energy levels to prepare.
schedules (Dict[str, ScheduleBlock] | None) – The schedules of the x gates between neighboring energy levels.
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.
Methods
- circuits()[source]¶
Create the circuits for the multi state discrimination experiment.
- Returns:
A list of circuits preparing the different energy states.
- Return type:
List[QuantumCircuit]
- config()¶
Return the config dataclass for this experiment
- Return type:
- copy()¶
Return a copy of the experiment
- Return type:
- classmethod from_config(config)¶
Initialize an experiment from experiment config
- Return type:
- 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 experimentsanalysis()
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:
- 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.