cunqa.result

Contains the Result class, which holds the output of the executions.

Once we have submmited a QJob, for obtaining its results we call for its property result:

>>> qjob.result
<cunqa.result.Result object at XXXX>

This object has two main attributes of interest: the counts distribution from the simulation and the time that the simulation took in seconds:

>>> result = qjob.result
>>> result.counts
{'000':34, '111':66}
>>> result.time_taken
0.056

class Result(result, circ_id, registers)

Class to describe the result of a simulation.

There are two main attributes, Result.counts and Result.time_taken, common to every simulator available on the backends.Nevertheless, depending on the simulator used, more output data is provided. For checking all the information from the simulation as a dict, one can access the attribute Result.result.

Parameters:

result (dict)
circ_id (str)
registers (dict)

counts

Counts distribution from the sampling of the simulation, format is {"<bit string>":<number of counts as int>}.

>>> result.counts
{'000':34, '111':66}

Note

If the circuit sent has more than one classical register, bit strings corresponding to each one of them will be separated by blank spaces in the order they were added:

>>> result.counts
{'001 11':23, '110 10':77}

time_taken

Time that the simulation took in seconds, since it is received at the virtual QPU until it is finished.

>>> result.time_taken
0.056

result: Dictionary with the whole output of the simulation. This output is presented as the raw product of the simulation, and so the dict format depends on the simulator used.