qiskit.providers.basicaer.StatevectorSimulatorPy
class StatevectorSimulatorPy(configuration=None, provider=None, **fields)
Python statevector simulator.
Initialize a backend class
Parameters
- configuration (BackendConfiguration) – A backend configuration object for the backend object.
- provider (qiskit.providers.Provider) – Optionally, the provider object that this Backend comes from.
- fields – kwargs for the values to use to override the default options.
Raises
AttributeError – if input field not a valid options
__init__
__init__(configuration=None, provider=None, **fields)
Initialize a backend class
Parameters
- configuration (BackendConfiguration) – A backend configuration object for the backend object.
- provider (qiskit.providers.Provider) – Optionally, the provider object that this Backend comes from.
- fields – kwargs for the values to use to override the default options.
Raises
AttributeError – if input field not a valid options
Methods
__init__([configuration, provider]) | Initialize a backend class |
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. |
set_options(**fields) | Set the options fields for the backend |
status() | Return the backend status. |
Attributes
DEFAULT_CONFIGURATION | |
DEFAULT_OPTIONS | |
MAX_QUBITS_MEMORY | |
SHOW_FINAL_STATE | |
options | Return the options for the backend |
version |
configuration
configuration()
Return the backend configuration.
Returns
the configuration for the backend.
Return type
name
name()
Return the backend name.
Returns
the name of the backend.
Return type
str
options
Return the options for the backend
The options of a backend are the dynamic parameters defining how the backend is used. These are used to control the run() method.
properties
properties()
Return the backend properties.
Returns
the configuration for the backend. If the backend does not support properties, it returns None.
Return type
provider
provider()
Return the backend Provider.
Returns
the Provider responsible for the backend.
Return type
run
run(qobj, **backend_options)
Run qobj asynchronously.
Parameters
- qobj (Qobj) – payload of the experiment
- backend_options (dict) – backend options
Returns
derived from BaseJob
Return type
Additional Information:
backend_options: Is a dict of options for the backend. It may contain
- “initial_statevector”: vector_like
The “initial_statevector” option specifies a custom initial initial statevector for the simulator to be used instead of the all zero state. This size of this vector must be correct for the number of qubits in all experiments in the qobj.
Example:
backend_options = {
"initial_statevector": np.array([1, 0, 0, 1j]) / np.sqrt(2),
}run_experiment
run_experiment(experiment)
Run an experiment (circuit) and return a single experiment result.
Parameters
experiment (QobjExperiment) – experiment from qobj experiments list
Returns
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":
{
"counts": {'0x9: 5, ...},
"memory": ['0x9', '0xF', '0x1D', ..., '0x9']
},
"status": status string for the simulation
"success": boolean
"time_taken": simulation time of this single experiment
}Return type
dict
Raises
BasicAerError – if an error occurred.
set_options
set_options(**fields)
Set the options fields for the backend
This method is used to update the options of a backend. If you need to change any of the options prior to running just pass in the kwarg with the new value for the options.
Parameters
fields – The fields to update the options
Raises
AttributeError – If the field passed in is not part of the options