Result¶

class Result(backend_name, backend_version, qobj_id, job_id, success, results, **kwargs)[source]¶

Model for Results.

Please note that this class only describes the required fields. For the full description of the model, please check ResultSchema.

backend_name¶

backend name.

backend_version¶

backend version, in the form X.Y.Z.

qobj_id¶

user-generated Qobj id.

job_id¶

unique execution id from the backend.

success¶

True if complete input qobj executed correctly. (Implies each experiment success)

results¶

corresponding results for array of experiments of the input qobj

BaseModel initializer.

Note

The validate argument is used for controlling the behavior of the schema binding, and will not be present on the created object.

Attributes

`Result.schema`
`Result.shallow_schema`

Methods

`Result.data`([experiment])	Get the raw data for an experiment.
`Result.from_dict`(dict_)	Deserialize a dict of simple types into an instance of this class.
`Result.get_counts`([experiment])	Get the histogram data of an experiment.
`Result.get_memory`([experiment])	Get the sequence of memory states (readouts) for each shot The data from the experiment is a list of format [‘00000’, ‘01000’, ‘10100’, ‘10100’, ‘11101’, ‘11100’, ‘00101’, …, ‘01010’]
`Result.get_statevector`([experiment, decimals])	Get the final statevector of an experiment.
`Result.get_unitary`([experiment, decimals])	Get the final unitary of an experiment.
`Result.to_dict`()	Serialize the model into a Python dict of simple types.