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Adding in modeltools.py, a file that contains the functions needed to…
… build ERMs for PST.
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import itertools | ||
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import numpy as _np | ||
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from pygsti.models.oplessmodel import TwirledLayersModel | ||
from pygsti.baseobjs.label import Label | ||
from pygsti.data import DataSet | ||
from pygsti.circuits import Circuit | ||
from pygsti.protocols import GSTDesign | ||
from pygsti.protocols import ProtocolData | ||
from pygsti.protocols import GST | ||
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def batch_prediction(model, circuits, prediction_key = 'success'): | ||
return _np.array([model.probabilities(circuit)[prediction_key] for circuit in circuits]) | ||
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def extract_success_fail(df): | ||
sfds = DataSet(outcome_labels = ['success','fail']) | ||
circuits = [] | ||
for _, row in df.iterrows(): | ||
circuit = Circuit(None, stringrep = row['Circuit']) | ||
sfds.add_count_dict(circuit, {'success': row['D:SC'] , 'fail': row['D:Counts'] - row['D:SC']}) | ||
circuits.append(circuit) | ||
sfds.done_adding_data() | ||
return sfds, circuits | ||
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def create_spec_model(pspec): | ||
qubit_labels = pspec.qubit_labels | ||
one_qubit_gate_names = pspec.gate_names[1:] | ||
availability = pspec.availability | ||
error_dict = {'gates': {}, | ||
'readout': {i: .0 for i in qubit_labels}} | ||
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for i,j in itertools.product(one_qubit_gate_names, qubit_labels): | ||
error_dict['gates'][Label(i,state_space_labels = (j,))] = 0.01 | ||
for i,j in itertools.product(['Gcnot'],availability['Gcnot']): | ||
error_dict['gates'][Label('Gcnot',state_space_labels = j)] = 0.01 | ||
specmodel = TwirledLayersModel(error_dict, num_qubits = 5, state_space_labels = qubit_labels, | ||
idle_name = None) | ||
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return specmodel, error_dict | ||
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def create_mle_model(df, indices, pspec, specmodel): | ||
sfds, train_circuits = extract_success_fail(df.loc[indices['train']]) | ||
train_circuits = list(sfds.keys()) | ||
print('You had {} circuits. You are training on {} circuits.'.format(len(df), len(train_circuits))) | ||
print('Creating MLE Model') | ||
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gst_edesign = GSTDesign(pspec, [train_circuits]) #creates gst edesign based on a specmodel. sfds.keys is the set of circuits. <---- restrict this | ||
gst_protocol_data = ProtocolData(gst_edesign, sfds) # No need to change sfds because the protocol only looks for circuits in its design. DOUBLE CHECK! | ||
gst_protocol = GST(specmodel, gaugeopt_suite=None, badfit_options={}, verbosity=1) # | ||
gst_results = gst_protocol.run(gst_protocol_data) #fits an mle model to the gst_protocol_data | ||
mlemodel = gst_results.estimates['GateSetTomography'].models['final iteration estimate'] # extracts the mle model parameters | ||
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return mlemodel |