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Update RB examples in documentation #330

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May 16, 2023
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Update RB examples in documentation #330

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19 changes: 10 additions & 9 deletions doc/source/getting-started/niGSC/niGSC_and_standardrb.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -91,10 +91,10 @@ Now build the circuit factory, and check out how it works.

.. code-block:: python

from qibocal.calibrations.protocols import standardrb
from qibocal.calibrations.niGSC import standardrb
# To not alter the iterator when using it, make deep copies.
from copy import deepcopy
factory = standardrb.ModuleFactory(nqubits, depths, runs)
factory = standardrb.ModuleFactory(nqubits, depths * runs)
# ``factory`` is an iterator class object generating single clifford
# gates with the last gate always the inverse of the whole gate sequence.
# There are mainly three ways how to extract the circuits.
Expand Down Expand Up @@ -123,7 +123,7 @@ The experiment

# Initiate the standard RB experiment. To make it simpler
# first without simulated noise on the circuits.
experiment = standardrb.ModuleExperiment(factory, nshots)
experiment = standardrb.ModuleExperiment(factory, nshots=nshots)
# Nothing happened yet. The experiment has to be executed
# to execute the single circuits and store the samples along
# with the number of applied gates.
Expand Down Expand Up @@ -173,18 +173,19 @@ It has to be predefined and passed when initiating the experiment object.

.. code-block:: python

from qibocal.calibrations.protocols import standardrb
from qibocal.calibrations.protocols.noisemodels import PauliErrorOnUnitary
# To not alter the iterator when using it, make deep copies.
from qibocal.calibrations.niGSC import standardrb
from qibocal.calibrations.niGSC.basics.noisemodels import PauliErrorOnUnitary

nqubits = 1
depths = [0,1,5,10,15]
runs = 10
depths = [0, 1, 5, 10, 15]
nshots = 128
# Define the noise model used in the simulation.
noisemodel = PauliErrorOnUnitary(0.01, 0.02, 0.04)
factory = standardrb.ModuleFactory(nqubits, depths, runs)
factory = standardrb.ModuleFactory(nqubits, depths * runs)
# Add the noise model to the experiment.
experiment = standardrb.ModuleExperiment(
factory, nshots, noisemodel = noisemodel)
experiment = standardrb.ModuleExperiment(factory, nshots=nshots, noise_model=noisemodel)
experiment.perform(experiment.execute)
experiment.perform(standardrb.groundstate_probabilities)
df_aggr = standardrb.get_aggregational_data(experiment)
Expand Down