/
basecase.py
45 lines (33 loc) · 2.14 KB
/
basecase.py
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import pygsti
from pygsti.modelpacks.legacy import std1Q_XYI as std
from pygsti.baseobjs import Basis
from ..testutils import BaseTestCase, compare_files, regenerate_references
class AlgorithmsBase(BaseTestCase):
def setUp(self):
super(AlgorithmsBase, self).setUp()
self.model = std.target_model()
self.datagen_gateset = self.model.depolarize(op_noise=0.05, spam_noise=0.1)
self.fiducials = std.fiducials
self.germs = std.germs
#OLD self.specs = pygsti.construction.build_spam_specs(self.fiducials, effect_labels=['E0']) #only use the first EVec
self.op_labels = list(self.model.operations.keys()) # also == std.gates
self.lgstStrings = pygsti.circuits.create_lgst_circuits(self.fiducials, self.fiducials, self.op_labels)
self.maxLengthList = [0,1,2,4,8]
self.elgstStrings = pygsti.circuits.create_elgst_lists(
self.op_labels, self.germs, self.maxLengthList )
self.lsgstStrings = pygsti.circuits.create_lsgst_circuit_lists(
self.op_labels, self.fiducials, self.fiducials, self.germs, self.maxLengthList )
## RUN BELOW LINES to create analysis dataset (SAVE)
if regenerate_references():
expList = pygsti.circuits.create_lsgst_circuits(
self.op_labels, self.fiducials, self.fiducials, self.germs, self.maxLengthList )
ds = pygsti.data.simulate_data(self.datagen_gateset, expList,
num_samples=10000, sample_error='binomial', seed=100)
ds.save(compare_files + "/analysis.dataset")
self.ds = pygsti.data.DataSet(file_to_load_from=compare_files + "/analysis.dataset")
## RUN BELOW LINES to create LGST analysis dataset (SAVE)
if regenerate_references():
ds_lgst = pygsti.data.simulate_data(self.datagen_gateset, self.lgstStrings,
num_samples=10000, sample_error='binomial', seed=100)
ds_lgst.save(compare_files + "/analysis_lgst.dataset")
self.ds_lgst = pygsti.data.DataSet(file_to_load_from=compare_files + "/analysis_lgst.dataset")