/
testOpFactories.py
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/
testOpFactories.py
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import unittest
import pygsti
import numpy as np
import warnings
import pickle
import os
from pygsti.construction import std1Q_XYI
from ..testutils import BaseTestCase, compare_files, temp_files
class XRotationOpFactory(pygsti.obj.OpFactory):
def __init__(self):
dim = 4
pygsti.obj.OpFactory.__init__(self, dim, "densitymx")
def create_object(self, args=None, sslbls=None):
assert(sslbls is None) # we don't use these, and they're only non-None when we're expected to use them
assert(len(args) == 1)
theta = float(args[0])/2.0
print("INIT: theta = ", theta," sslbls=",sslbls)
b = 2*np.cos(theta)*np.sin(theta)
c = np.cos(theta)**2 - np.sin(theta)**2
superop = np.array([[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, c, -b],
[0, 0, b, c]],'d')
#print("Superop = \n",superop)
return pygsti.obj.StaticDenseOp(superop)
class XRotationOp(pygsti.obj.DenseOperator):
def __init__(self, target_angle, initial_params=(0,0)):
#initialize with no noise
self.target_angle = target_angle
self.from_vector(np.array(initial_params,'d'))
super(XRotationOp,self).__init__(self.base, "densitymx") # this is *super*-operator, so "densitymx"
def num_params(self):
return 2 # we have two parameters
def to_vector(self):
return np.array([self.depol_amt, self.over_rotation],'d') #our parameter vector
def from_vector(self,v):
#initialize from parameter vector v
self.depol_amt = v[0]
self.over_rotation = v[1]
theta = (self.target_angle + self.over_rotation)/2
a = 1.0-self.depol_amt
b = a*2*np.cos(theta)*np.sin(theta)
c = a*(np.cos(theta)**2 - np.sin(theta)**2)
# .base is a member of DenseOperator and is a numpy array that is
# the dense Pauli transfer matrix of this operator
self.base = np.array([[1, 0, 0, 0],
[0, a, 0, 0],
[0, 0, c, -b],
[0, 0, b, c]],'d')
class ParamXRotationOpFactory(pygsti.obj.OpFactory):
def __init__(self):
dim = 4 # 1-qubit
self.params = np.array([0,0],'d') #initialize with no noise
pygsti.obj.OpFactory.__init__(self, dim, "densitymx")
def create_object(self, args=None, sslbls=None):
assert(sslbls is None) # we don't use these, and they're only non-None when we're expected to use them
assert(len(args) == 1)
return XRotationOp( float(args[0]) ) #no need to set parameters of returned op - done by base class
def num_params(self):
return len(self.params) # we have two parameters
def to_vector(self):
return self.params #our parameter vector
def from_vector(self,v):
self.params[:] = v
class OpFactoryTestCase(BaseTestCase):
def setUp(self):
super(OpFactoryTestCase, self).setUp()
def test_opfactory_simple_1Q(self):
std_mdl = std1Q_XYI.target_model()
Gxrot_factory = XRotationOpFactory()
nQubits = 1
mdl = pygsti.obj.LocalNoiseModel.build_from_parameterization(
nQubits, ('Gi','Gx','Gy'))
mdl.factories['layers'][('Gxrot',0)] = Gxrot_factory
c1 = pygsti.obj.Circuit('Gxrot;1.57:0')
c2 = pygsti.obj.Circuit([('Gxrot',';',1.57,0)])
c3 = pygsti.obj.Circuit([('Gy',0),('Gy',0),('Gx',0), ('Gxrot',';',1.25,0),('Gx',0)] )
p1 = mdl.probs(c1)
p2 = mdl.probs(c2)
p3 = mdl.probs(c3)
self.assertAlmostEqual(p1['0'], 0.5003981633553666)
self.assertAlmostEqual(p2['0'], 0.5003981633553666)
self.assertAlmostEqual(p1['1'], 0.499601836644)
self.assertAlmostEqual(p2['1'], 0.499601836644)
self.assertAlmostEqual(p3['0'], 0.657661181197634)
self.assertAlmostEqual(p3['1'], 0.34233881880236)
def test_embedded_opfactory_2Q(self):
nQubits = 2
Gxrot_factory = XRotationOpFactory()
mdl = pygsti.obj.LocalNoiseModel.build_from_parameterization(
nQubits, ('Gi','Gx','Gy'))
mdl.factories['layers'][('Gxrot',0)] = pygsti.objects.EmbeddedOpFactory((0,1),(0,),Gxrot_factory,dense=True)
mdl.factories['layers'][('Gxrot',1)] = pygsti.objects.EmbeddedOpFactory((0,1),(1,),Gxrot_factory,dense=True)
c = pygsti.obj.Circuit( [('Gxrot',';3.14',0),('Gxrot',';1.5',1)] )
p = mdl.probs(c)
self.assertAlmostEqual(p[('11',)], 0.46463110452654444)
def test_embedding_opfactory_2Q(self):
nQubits = 2
Gxrot_factory = XRotationOpFactory()
mdl = pygsti.obj.LocalNoiseModel.build_from_parameterization(
nQubits, ('Gi','Gx','Gy'))
mdl.factories['layers']['Gxrot'] = pygsti.objects.EmbeddingOpFactory((0,1),Gxrot_factory,dense=True)
c = pygsti.obj.Circuit( [('Gxrot',';3.14',0),[('Gxrot',';1.5',1),('Gx',0)]] )
p = mdl.probs(c)
self.assertAlmostEqual(p[('10',)], 0.2681106285986824)
def test_parameteriized_opfactory(self):
# check to make sure gpindices is set correctly
std_mdl = std1Q_XYI.target_model()
Gxrot_param_factory = ParamXRotationOpFactory()
nQubits = 1
mdl = pygsti.obj.LocalNoiseModel.build_from_parameterization(
nQubits, ('Gi','Gx','Gy'))
mdl.factories['layers'][('Gxrot',0)] = Gxrot_param_factory
self.assertEqual(mdl.num_params(), 2)
#see that parent and gpindices of ops created by factory are correctly set
mdl.from_vector( np.array([0.1,0.02]) )
liz = mdl._layer_lizard()
op = liz.get_operation( pygsti.obj.Label(('Gxrot',';1.57',0)) )
self.assertArraysAlmostEqual( op.todense(),
np.array([[1, 0, 0, 0],
[0, 0.9, 0, 0],
[0, 0, -0.01728224, -0.89983405],
[0, 0, 0.89983405, -0.01728224]],'d'))
self.assertTrue(op.parent is mdl)
self.assertEqual(op.gpindices, slice(0,2))
self.assertArraysAlmostEqual( mdl.to_vector(), np.array([0.1, 0.02]) )
self.assertArraysAlmostEqual( op.to_vector(), np.array([0.1, 0.02]) )
c1 = pygsti.obj.Circuit('Gxrot;2.5:0')
#ALT: c1 = pygsti.obj.Circuit([('Gxrot', ';', np.pi, 0)])
#Test that probs change appropriately when the model parameters are
# given new (different) values.
mdl.from_vector( np.array([0.0,0.0]) )
p = mdl.probs(c1)
self.assertAlmostEqual(p['0'], 0.09942819222653321)
self.assertAlmostEqual(p['1'], 0.9005718077734666)
mdl.from_vector( np.array([0.5,0.02]) )
p = mdl.probs(c1)
self.assertAlmostEqual(p['0'], 0.2967619907250274)
self.assertAlmostEqual(p['1'], 0.7032380092749724)
#TODO: add tests for ComposedOpFactory and UnitaryOpFactory here?
if __name__ == "__main__":
unittest.main(verbosity=2)