qiskit.providers.basicaer.UnitarySimulatorPy

class UnitarySimulatorPy(configuration=None, provider=None)

Python implementation of a unitary simulator.

Base class for backends.

This method should initialize the module and its configuration, and raise an exception if a component of the module is not available.

Parâmetros

• configuration (BackendConfiguration) – backend configuration

• provider (BaseProvider) – provider responsible for this backend

Levanta

QiskitError – if an error occurred when instantiating the backend.

__init__(configuration=None, provider=None)

Base class for backends.

This method should initialize the module and its configuration, and raise an exception if a component of the module is not available.

Parâmetros

• configuration (BackendConfiguration) – backend configuration

• provider (BaseProvider) – provider responsible for this backend

Levanta

QiskitError – if an error occurred when instantiating the backend.

Methods

__init__([configuration, provider])	Base class for backends.
configuration()	Return the backend configuration.
name()	Return the backend name.
properties()	Return the backend properties.
provider()	Return the backend Provider.
run(qobj[, backend_options])	Run qobj asynchronously.
run_experiment(experiment)	Run an experiment (circuit) and return a single experiment result.
status()	Return the backend status.
version()	Return the backend version.

Attributes

DEFAULT_CONFIGURATION
DEFAULT_OPTIONS
MAX_QUBITS_MEMORY

configuration()

Return the backend configuration.

Retorna

the configuration for the backend.

Tipo de retorno

BackendConfiguration

name()

Return the backend name.

Retorna

the name of the backend.

Tipo de retorno

str

properties()

Return the backend properties.

Retorna

the configuration for the backend. If the backend does not support properties, it returns None.

Tipo de retorno

BackendProperties

provider()

Return the backend Provider.

Retorna

the Provider responsible for the backend.

Tipo de retorno

BaseProvider

run(qobj, backend_options=None)

Run qobj asynchronously.

Parâmetros

• qobj (Qobj) – payload of the experiment

• backend_options (dict) – backend options

Retorna

derived from BaseJob

Tipo de retorno

BasicAerJob

Additional Information:

backend_options: Is a dict of options for the backend. It may contain
    * "initial_unitary": matrix_like
    * "chop_threshold": double

The "initial_unitary" option specifies a custom initial unitary
matrix for the simulator to be used instead of the identity
matrix. This size of this matrix must be correct for the number
of qubits inall experiments in the qobj.

The "chop_threshold" option specifies a truncation value for
setting small values to zero in the output unitary. The default
value is 1e-15.

Example::

    backend_options = {
        "initial_unitary": np.array([[1, 0, 0, 0],
                                     [0, 0, 0, 1],
                                     [0, 0, 1, 0],
                                     [0, 1, 0, 0]])
        "chop_threshold": 1e-15
    }

run_experiment(experiment)

Run an experiment (circuit) and return a single experiment result.

Parâmetros

experiment (QobjExperiment) – experiment from qobj experiments list

Retorna

A result dictionary which looks something like:

{
"name": name of this experiment (obtained from qobj.experiment header)
"seed": random seed used for simulation
"shots": number of shots used in the simulation
"data":
    {
    "unitary": [[[0.0, 0.0], [1.0, 0.0]],
                [[1.0, 0.0], [0.0, 0.0]]]
    },
"status": status string for the simulation
"success": boolean
"time taken": simulation time of this single experiment
}

Tipo de retorno

dict

Levanta

• BasicAerError – if the number of qubits in the circuit is greater than 24.

• Note that the practical qubit limit is much lower than 24. –

status()

Return the backend status.

Retorna

the status of the backend.

Tipo de retorno

BackendStatus

version()

Return the backend version.

Retorna

the X.X.X version of the backend.

Tipo de retorno

str