I'm running a quantum simulation and want to obtain some information from a single shot of an experiment. Here's part of the code I'm working on:
for i in range(Nshot): Expeb =  for measure_circuit in [circ_1, circ_2, circ_3, circ_4]: measure_circuit = transpile(measure_circuit,backend=backend,optimization_level=2,initial_layout = ) counts = execute(measure_circuit, backend = backend, shots=1).result().get_counts() for output in ['0','1']: if output not in counts: counts[output] = 0 expe = (counts['0'] - counts['1']) Expeb.append(expe) Est = sum(x*y for x,y in zip(Expeb,[a,b,c,d]))
The code works on simulators, but it might take a very long time if
Nshot gets large (Like 5000, I think that's because I generated a lot of circuits) and I submit the jobs to a quantum device. I wonder is there a way I can extract information (like making calculations for) a single shot but in a more efficient way? Thanks for the help!