def test_inequality_equal(self):
"""Test inequality operator: equal Paulis"""
p1 = random_pauli(5)
p2 = deepcopy(p1)
self.assertFalse(p1 != p2)
self.log.info(p2.to_label())
self.log.info(p1.to_label())
self.log.info(p1 != p2)
def test_random_pauli5(self):
length = 2
q = random_pauli(length)
self.log.info(q)
self.assertEqual(q.numberofqubits, length)
self.assertEqual(len(q.v), length)
self.assertEqual(len(q.w), length)
self.assertEqual(len(q.to_label()), length)
self.assertEqual(len(q.to_matrix()), 2 ** length)
def test_inequality_different(self):
"""Test inequality operator: different Paulis"""
p1 = random_pauli(5)
p2 = deepcopy(p1)
p2.v[0] = (p1.v[0] + 1) % 2
self.assertTrue(p1 != p2)
self.log.info(p2.to_label())
self.log.info(p1.to_label())
self.log.info(p1 != p2)
def test_random_pauli5(self):
length = 2
q = random_pauli(length)
self.log.info(q)
self.assertEqual(q.numberofqubits, length)
self.assertEqual(len(q.v), length)
self.assertEqual(len(q.w), length)
self.assertEqual(len(q.to_label()), length)
self.assertEqual(len(q.to_matrix()), 2 ** length)
def test_pauli(self):
v = np.zeros(3)
w = np.zeros(3)
v[0] = 1
w[1] = 1
v[2] = 1
w[2] = 1
p = Pauli(v, w)
self.log.info(p)
self.log.info("In label form:")
self.log.info(p.to_label())
self.log.info("In matrix form:")
self.log.info(p.to_matrix())
q = random_pauli(2)
self.log.info(q)
r = inverse_pauli(p)
self.log.info("In label form:")
self.log.info(r.to_label())
self.log.info("Group in tensor order:")
grp = pauli_group(3, case=1)
for j in grp:
self.log.info(j.to_label())
self.log.info("Group in weight order:")
grp = pauli_group(3)
for j in grp:
self.log.info(j.to_label())
self.log.info("sign product:")
p1 = Pauli(np.array([0]), np.array([1]))
p2 = Pauli(np.array([1]), np.array([1]))
p3, sgn = sgn_prod(p1, p2)
self.log.info(p1.to_label())
self.log.info(p2.to_label())
self.log.info(p3.to_label())
self.log.info(sgn)
self.log.info("sign product reverse:")
p3, sgn = sgn_prod(p2, p1)
self.log.info(p2.to_label())
self.log.info(p1.to_label())
self.log.info(p3.to_label())
self.log.info(sgn)
def test_pauli(self):
v = np.zeros(3)
w = np.zeros(3)
v[0] = 1
w[1] = 1
v[2] = 1
w[2] = 1
p = Pauli(v, w)
self.log.info(p)
self.log.info("In label form:")
self.log.info(p.to_label())
self.log.info("In matrix form:")
self.log.info(p.to_matrix())
q = random_pauli(2)
self.log.info(q)
r = inverse_pauli(p)
self.log.info("In label form:")
self.log.info(r.to_label())
self.log.info("Group in tensor order:")
grp = pauli_group(3, case=1)
for j in grp:
self.log.info(j.to_label())
self.log.info("Group in weight order:")
grp = pauli_group(3)
for j in grp:
self.log.info(j.to_label())
self.log.info("sign product:")
p1 = Pauli(np.array([0]), np.array([1]))
p2 = Pauli(np.array([1]), np.array([1]))
p3, sgn = sgn_prod(p1, p2)
self.log.info(p1.to_label())
self.log.info(p2.to_label())
self.log.info(p3.to_label())
self.log.info(sgn)
self.log.info("sign product reverse:")
p3, sgn = sgn_prod(p2, p1)
self.log.info(p2.to_label())
self.log.info(p1.to_label())
self.log.info(p3.to_label())
self.log.info(sgn)