def test_group_paulis_2(self):
"""
Test with normal grouping approach
"""
num_qubits = 4
pauli_term = []
for pauli_label in itertools.product('IXYZ', repeat=num_qubits):
coeff = np.random.random(1)[0]
pauli_term.append([coeff, label_to_pauli(''.join(pauli_label))])
op = Operator(paulis=pauli_term)
op.coloring = None
paulis = copy.deepcopy(op.paulis)
op.convert("paulis", "grouped_paulis")
flattened_grouped_paulis = [
pauli for group in op.grouped_paulis for pauli in group[1:]
]
for gp in flattened_grouped_paulis:
passed = False
for p in paulis:
if p[1] == gp[1]:
passed = p[0] == gp[0]
break
self.assertTrue(
passed, "non-existed paulis in grouped_paulis: {}".format(
gp[1].to_label()))
def test_create_from_paulis_0(self):
"""
test with single paulis
"""
num_qubits = 4
for pauli_label in itertools.product('IXYZ', repeat=num_qubits):
coeff = np.random.random(1)[0]
pauli_term = [coeff, label_to_pauli(pauli_label)]
op = Operator(paulis=[pauli_term])
op.convert('paulis', 'matrix')
op.convert('paulis', 'grouped_paulis')
depth = 1
var_form = get_variational_form_instance('RYRZ')
var_form.init_args(op.num_qubits, depth)
circuit = var_form.construct_circuit(
np.array(np.random.randn(var_form.num_parameters)))
execute_config = {'shots': 1, 'skip_transpiler': False}
matrix_mode = op.eval('matrix', circuit,
'local_statevector_simulator',
execute_config)[0]
non_matrix_mode = op.eval('paulis', circuit,
'local_statevector_simulator',
execute_config)[0]
def test_dia_matrix(self):
"""
test conversion to dia_matrix
"""
num_qubits = 4
pauli_term = []
for pauli_label in itertools.product('IZ', repeat=num_qubits):
coeff = np.random.random(1)[0]
pauli_term.append([coeff, label_to_pauli(pauli_label)])
op = Operator(paulis=pauli_term)
op.convert('paulis', 'matrix')
op.convert('paulis', 'grouped_paulis')
op._to_dia_matrix('paulis')
self.assertEqual(op.matrix.ndim, 1)
num_qubits = 4
pauli_term = []
for pauli_label in itertools.product('YZ', repeat=num_qubits):
coeff = np.random.random(1)[0]
pauli_term.append([coeff, label_to_pauli(pauli_label)])
op = Operator(paulis=pauli_term)
op.convert('paulis', 'matrix')
op.convert('paulis', 'grouped_paulis')
op._to_dia_matrix('paulis')
self.assertEqual(op.matrix.ndim, 2)
def test_create_from_matrix(self):
"""
test with matrix initialization
"""
for num_qubits in range(1, 6):
m_size = np.power(2, num_qubits)
matrix = np.random.rand(m_size, m_size)
op = Operator(matrix=matrix)
op.convert('matrix', 'paulis')
op.convert('matrix', 'grouped_paulis')
depth = 1
var_form = get_variational_form_instance('RYRZ')
var_form.init_args(op.num_qubits, depth)
circuit = var_form.construct_circuit(
np.array(np.random.randn(var_form.num_parameters)))
execute_config = {'shots': 1, 'skip_transpiler': False}
matrix_mode = op.eval('matrix', circuit,
'local_statevector_simulator',
execute_config)[0]
non_matrix_mode = op.eval('paulis', circuit,
'local_statevector_simulator',
execute_config)[0]
class TestOperator(QiskitAquaTestCase):
"""Operator tests."""
def setUp(self):
np.random.seed(0)
self.num_qubits = 4
m_size = np.power(2, self.num_qubits)
matrix = np.random.rand(m_size, m_size)
self.qubitOp = Operator(matrix=matrix)
def test_real_eval(self):
depth = 1
var_form = get_variational_form_instance('RYRZ')
var_form.init_args(self.qubitOp.num_qubits, depth)
circuit = var_form.construct_circuit(
np.array(np.random.randn(var_form.num_parameters)))
# self.qubitOp.coloring = None
execute_config_ref = {'shots': 1, 'skip_transpiler': False}
execute_config = {'shots': 10000, 'skip_transpiler': False}
reference = self.qubitOp.eval('matrix', circuit,
'local_statevector_simulator',
execute_config_ref)[0]
reference = reference.real
paulis_mode = self.qubitOp.eval('paulis', circuit,
'local_qasm_simulator', execute_config)
grouped_paulis_mode = self.qubitOp.eval('grouped_paulis', circuit,
'local_qasm_simulator',
execute_config)
paulis_mode_p_3sigma = paulis_mode[0] + 3 * paulis_mode[1]
paulis_mode_m_3sigma = paulis_mode[0] - 3 * paulis_mode[1]
grouped_paulis_mode_p_3sigma = grouped_paulis_mode[
0] + 3 * grouped_paulis_mode[1]
grouped_paulis_mode_m_3sigma = grouped_paulis_mode[
0] - 3 * grouped_paulis_mode[1]
self.assertLessEqual(reference, paulis_mode_p_3sigma.real)
self.assertGreaterEqual(reference, paulis_mode_m_3sigma.real)
self.assertLessEqual(reference, grouped_paulis_mode_p_3sigma.real)
self.assertGreaterEqual(reference, grouped_paulis_mode_m_3sigma.real)
execute_config = {'shots': 10000, 'skip_transpiler': True}
paulis_mode = self.qubitOp.eval('paulis', circuit,
'local_qasm_simulator', execute_config)
grouped_paulis_mode = self.qubitOp.eval('grouped_paulis', circuit,
'local_qasm_simulator',
execute_config)
paulis_mode_p_3sigma = paulis_mode[0] + 3 * paulis_mode[1]
paulis_mode_m_3sigma = paulis_mode[0] - 3 * paulis_mode[1]
grouped_paulis_mode_p_3sigma = grouped_paulis_mode[
0] + 3 * grouped_paulis_mode[1]
grouped_paulis_mode_m_3sigma = grouped_paulis_mode[
0] - 3 * grouped_paulis_mode[1]
self.assertLessEqual(reference, paulis_mode_p_3sigma.real,
"With skip_transpiler on")
self.assertGreaterEqual(reference, paulis_mode_m_3sigma.real,
"With skip_transpiler on")
self.assertLessEqual(reference, grouped_paulis_mode_p_3sigma.real,
"With skip_transpiler on")
self.assertGreaterEqual(reference, grouped_paulis_mode_m_3sigma.real,
"With skip_transpiler on")
def test_exact_eval(self):
depth = 1
var_form = get_variational_form_instance('RYRZ')
var_form.init_args(self.qubitOp.num_qubits, depth)
circuit = var_form.construct_circuit(
np.array(np.random.randn(var_form.num_parameters)))
execute_config = {'shots': 1, 'skip_transpiler': False}
matrix_mode = self.qubitOp.eval('matrix', circuit,
'local_statevector_simulator',
execute_config)[0]
non_matrix_mode = self.qubitOp.eval('paulis', circuit,
'local_statevector_simulator',
execute_config)[0]
diff = abs(matrix_mode - non_matrix_mode)
self.assertLess(
diff, 0.01, "Values: ({} vs {})".format(matrix_mode,
non_matrix_mode))
execute_config = {'shots': 1, 'skip_transpiler': True}
non_matrix_mode = self.qubitOp.eval('paulis', circuit,
'local_statevector_simulator',
execute_config)[0]
diff = abs(matrix_mode - non_matrix_mode)
self.assertLess(
diff, 0.01, "With skip_transpiler on, Values: ({} vs {})".format(
matrix_mode, non_matrix_mode))
def test_create_from_paulis_0(self):
"""
test with single paulis
"""
num_qubits = 4
for pauli_label in itertools.product('IXYZ', repeat=num_qubits):
coeff = np.random.random(1)[0]
pauli_term = [coeff, label_to_pauli(pauli_label)]
op = Operator(paulis=[pauli_term])
depth = 1
var_form = get_variational_form_instance('RYRZ')
var_form.init_args(op.num_qubits, depth)
circuit = var_form.construct_circuit(
np.array(np.random.randn(var_form.num_parameters)))
execute_config = {'shots': 1, 'skip_transpiler': False}
non_matrix_mode = op.eval('paulis', circuit,
'local_statevector_simulator',
execute_config)[0]
matrix_mode = op.eval('matrix', circuit,
'local_statevector_simulator',
execute_config)[0]
self.assertAlmostEqual(matrix_mode, non_matrix_mode, 6)
def test_create_from_matrix(self):
"""
test with matrix initialization
"""
for num_qubits in range(1, 6):
m_size = np.power(2, num_qubits)
matrix = np.random.rand(m_size, m_size)
op = Operator(matrix=matrix)
depth = 1
var_form = get_variational_form_instance('RYRZ')
var_form.init_args(op.num_qubits, depth)
circuit = var_form.construct_circuit(
np.array(np.random.randn(var_form.num_parameters)))
execute_config = {'shots': 1, 'skip_transpiler': False}
non_matrix_mode = op.eval('paulis', circuit,
'local_statevector_simulator',
execute_config)[0]
matrix_mode = op.eval('matrix', circuit,
'local_statevector_simulator',
execute_config)[0]
self.assertAlmostEqual(matrix_mode, non_matrix_mode, 6)
def test_multiplication(self):
"""
test multiplication
"""
pauli_a = 'IXYZ'
pauli_b = 'ZYIX'
coeff_a = 0.5
coeff_b = 0.5
pauli_term_a = [coeff_a, label_to_pauli(pauli_a)]
pauli_term_b = [coeff_b, label_to_pauli(pauli_b)]
opA = Operator(paulis=[pauli_term_a])
opB = Operator(paulis=[pauli_term_b])
newOP = opA * opB
# print(newOP.print_operators())
self.assertEqual(1, len(newOP.paulis))
self.assertEqual(-0.25, newOP.paulis[0][0])
self.assertEqual('ZZYY', newOP.paulis[0][1].to_label())
def test_addition_inplace(self):
"""
test addition
"""
pauli_a = 'IXYZ'
pauli_b = 'ZYIX'
coeff_a = 0.5
coeff_b = 0.5
pauli_term_a = [coeff_a, label_to_pauli(pauli_a)]
pauli_term_b = [coeff_b, label_to_pauli(pauli_b)]
opA = Operator(paulis=[pauli_term_a])
opB = Operator(paulis=[pauli_term_b])
opA += opB
self.assertEqual(2, len(opA.paulis))
pauli_c = 'IXYZ'
coeff_c = 0.25
pauli_term_c = [coeff_c, label_to_pauli(pauli_c)]
opA += Operator(paulis=[pauli_term_c])
self.assertEqual(2, len(opA.paulis))
self.assertEqual(0.75, opA.paulis[0][0])
def test_addition_noninplace(self):
"""
test addition
"""
pauli_a = 'IXYZ'
pauli_b = 'ZYIX'
coeff_a = 0.5
coeff_b = 0.5
pauli_term_a = [coeff_a, label_to_pauli(pauli_a)]
pauli_term_b = [coeff_b, label_to_pauli(pauli_b)]
opA = Operator(paulis=[pauli_term_a])
opB = Operator(paulis=[pauli_term_b])
copy_opA = copy.deepcopy(opA)
newOP = opA + opB
self.assertEqual(copy_opA, opA)
self.assertEqual(2, len(newOP.paulis))
pauli_c = 'IXYZ'
coeff_c = 0.25
pauli_term_c = [coeff_c, label_to_pauli(pauli_c)]
newOP = newOP + Operator(paulis=[pauli_term_c])
self.assertEqual(2, len(newOP.paulis))
self.assertEqual(0.75, newOP.paulis[0][0])
def test_zero_coeff(self):
"""
test addition
"""
pauli_a = 'IXYZ'
pauli_b = 'IXYZ'
coeff_a = 0.5
coeff_b = -0.5
pauli_term_a = [coeff_a, label_to_pauli(pauli_a)]
pauli_term_b = [coeff_b, label_to_pauli(pauli_b)]
opA = Operator(paulis=[pauli_term_a])
opB = Operator(paulis=[pauli_term_b])
newOP = opA + opB
newOP.zeros_coeff_elimination()
self.assertEqual(0, len(newOP.paulis),
"{}".format(newOP.print_operators()))
paulis = ['IXYZ', 'XXZY', 'IIZZ', 'XXYY', 'ZZXX', 'YYYY']
coeffs = [0.2, 0.6, 0.8, -0.2, -0.6, -0.8]
op = Operator(paulis=[])
for coeff, pauli in zip(coeffs, paulis):
pauli_term = [coeff, label_to_pauli(pauli)]
op += Operator(paulis=[pauli_term])
for i in range(6):
opA = Operator(paulis=[[-coeffs[i], label_to_pauli(paulis[i])]])
op += opA
op.zeros_coeff_elimination()
self.assertEqual(6 - (i + 1), len(op.paulis))
def test_zero_elimination(self):
pauli_a = 'IXYZ'
coeff_a = 0.0
pauli_term_a = [coeff_a, label_to_pauli(pauli_a)]
opA = Operator(paulis=[pauli_term_a])
self.assertEqual(1, len(opA.paulis),
"{}".format(opA.print_operators()))
opA.zeros_coeff_elimination()
self.assertEqual(0, len(opA.paulis),
"{}".format(opA.print_operators()))
def test_dia_matrix(self):
"""
test conversion to dia_matrix
"""
num_qubits = 4
pauli_term = []
for pauli_label in itertools.product('IZ', repeat=num_qubits):
coeff = np.random.random(1)[0]
pauli_term.append([coeff, label_to_pauli(pauli_label)])
op = Operator(paulis=pauli_term)
op.convert('paulis', 'matrix')
op.convert('matrix', 'grouped_paulis')
op._to_dia_matrix('grouped_paulis')
self.assertEqual(op.matrix.ndim, 1)
num_qubits = 4
pauli_term = []
for pauli_label in itertools.product('YZ', repeat=num_qubits):
coeff = np.random.random(1)[0]
pauli_term.append([coeff, label_to_pauli(pauli_label)])
op = Operator(paulis=pauli_term)
op.convert('paulis', 'matrix')
op._to_dia_matrix('matrix')
self.assertEqual(op.matrix.ndim, 2)
def test_equal_operator(self):
paulis = ['IXYZ', 'XXZY', 'IIZZ', 'XXYY', 'ZZXX', 'YYYY']
coeffs = [0.2, 0.6, 0.8, -0.2, -0.6, -0.8]
op1 = Operator(paulis=[])
for coeff, pauli in zip(coeffs, paulis):
pauli_term = [coeff, label_to_pauli(pauli)]
op1 += Operator(paulis=[pauli_term])
paulis = ['IXYZ', 'XXZY', 'IIZZ', 'XXYY', 'ZZXX', 'YYYY']
coeffs = [0.2, 0.6, 0.8, -0.2, -0.6, -0.8]
op2 = Operator(paulis=[])
for coeff, pauli in zip(coeffs, paulis):
pauli_term = [coeff, label_to_pauli(pauli)]
op2 += Operator(paulis=[pauli_term])
paulis = ['IXYY', 'XXZY', 'IIZZ', 'XXYY', 'ZZXX', 'YYYY']
coeffs = [0.2, 0.6, 0.8, -0.2, -0.6, -0.8]
op3 = Operator(paulis=[])
for coeff, pauli in zip(coeffs, paulis):
pauli_term = [coeff, label_to_pauli(pauli)]
op3 += Operator(paulis=[pauli_term])
paulis = ['IXYZ', 'XXZY', 'IIZZ', 'XXYY', 'ZZXX', 'YYYY']
coeffs = [-0.2, 0.6, 0.8, -0.2, -0.6, -0.8]
op4 = Operator(paulis=[])
for coeff, pauli in zip(coeffs, paulis):
pauli_term = [coeff, label_to_pauli(pauli)]
op4 += Operator(paulis=[pauli_term])
self.assertEqual(op1, op2)
self.assertNotEqual(op1, op3)
self.assertNotEqual(op1, op4)
self.assertNotEqual(op3, op4)
def test_chop_real_only(self):
paulis = ['IXYZ', 'XXZY', 'IIZZ', 'XXYY', 'ZZXX', 'YYYY']
coeffs = [0.2, 0.6, 0.8, -0.2, -0.6, -0.8]
op = Operator(paulis=[])
for coeff, pauli in zip(coeffs, paulis):
pauli_term = [coeff, label_to_pauli(pauli)]
op += Operator(paulis=[pauli_term])
op1 = copy.deepcopy(op)
op1.chop(threshold=0.4)
self.assertEqual(len(op1.paulis), 4,
"\n{}".format(op1.print_operators()))
gt_op1 = Operator(paulis=[])
for i in range(1, 3):
pauli_term = [coeffs[i], label_to_pauli(paulis[i])]
gt_op1 += Operator(paulis=[pauli_term])
pauli_term = [coeffs[i + 3], label_to_pauli(paulis[i + 3])]
gt_op1 += Operator(paulis=[pauli_term])
self.assertEqual(op1, gt_op1)
op2 = copy.deepcopy(op)
op2.chop(threshold=0.7)
self.assertEqual(len(op2.paulis), 2,
"\n{}".format(op2.print_operators()))
gt_op2 = Operator(paulis=[])
for i in range(2, 3):
pauli_term = [coeffs[i], label_to_pauli(paulis[i])]
gt_op2 += Operator(paulis=[pauli_term])
pauli_term = [coeffs[i + 3], label_to_pauli(paulis[i + 3])]
gt_op2 += Operator(paulis=[pauli_term])
self.assertEqual(op2, gt_op2)
op3 = copy.deepcopy(op)
op3.chop(threshold=0.9)
self.assertEqual(len(op3.paulis), 0,
"\n{}".format(op3.print_operators()))
gt_op3 = Operator(paulis=[])
for i in range(3, 3):
pauli_term = [coeffs[i], label_to_pauli(paulis[i])]
gt_op3 += Operator(paulis=[pauli_term])
pauli_term = [coeffs[i + 3], label_to_pauli(paulis[i + 3])]
gt_op3 += Operator(paulis=[pauli_term])
self.assertEqual(op3, gt_op3)
def test_chop_complex_only_1(self):
paulis = ['IXYZ', 'XXZY', 'IIZZ', 'XXYY', 'ZZXX', 'YYYY']
coeffs = [
0.2 + -1j * 0.2, 0.6 + -1j * 0.6, 0.8 + -1j * 0.8,
-0.2 + -1j * 0.2, -0.6 - -1j * 0.6, -0.8 - -1j * 0.8
]
op = Operator(paulis=[])
for coeff, pauli in zip(coeffs, paulis):
pauli_term = [coeff, label_to_pauli(pauli)]
op += Operator(paulis=[pauli_term])
op1 = copy.deepcopy(op)
op1.chop(threshold=0.4)
self.assertEqual(len(op1.paulis), 4,
"\n{}".format(op1.print_operators()))
gt_op1 = Operator(paulis=[])
for i in range(1, 3):
pauli_term = [coeffs[i], label_to_pauli(paulis[i])]
gt_op1 += Operator(paulis=[pauli_term])
pauli_term = [coeffs[i + 3], label_to_pauli(paulis[i + 3])]
gt_op1 += Operator(paulis=[pauli_term])
self.assertEqual(op1, gt_op1)
op2 = copy.deepcopy(op)
op2.chop(threshold=0.7)
self.assertEqual(len(op2.paulis), 2,
"\n{}".format(op2.print_operators()))
gt_op2 = Operator(paulis=[])
for i in range(2, 3):
pauli_term = [coeffs[i], label_to_pauli(paulis[i])]
gt_op2 += Operator(paulis=[pauli_term])
pauli_term = [coeffs[i + 3], label_to_pauli(paulis[i + 3])]
gt_op2 += Operator(paulis=[pauli_term])
self.assertEqual(op2, gt_op2)
op3 = copy.deepcopy(op)
op3.chop(threshold=0.9)
self.assertEqual(len(op3.paulis), 0,
"\n{}".format(op3.print_operators()))
gt_op3 = Operator(paulis=[])
for i in range(3, 3):
pauli_term = [coeffs[i], label_to_pauli(paulis[i])]
gt_op3 += Operator(paulis=[pauli_term])
pauli_term = [coeffs[i + 3], label_to_pauli(paulis[i + 3])]
gt_op3 += Operator(paulis=[pauli_term])
self.assertEqual(op3, gt_op3)
def test_chop_complex_only_2(self):
paulis = ['IXYZ', 'XXZY', 'IIZZ', 'XXYY', 'ZZXX', 'YYYY']
coeffs = [
0.2 + -1j * 0.8, 0.6 + -1j * 0.6, 0.8 + -1j * 0.2,
-0.2 + -1j * 0.8, -0.6 - -1j * 0.6, -0.8 - -1j * 0.2
]
op = Operator(paulis=[])
for coeff, pauli in zip(coeffs, paulis):
pauli_term = [coeff, label_to_pauli(pauli)]
op += Operator(paulis=[pauli_term])
op1 = copy.deepcopy(op)
op1.chop(threshold=0.4)
self.assertEqual(len(op1.paulis), 6,
"\n{}".format(op1.print_operators()))
op2 = copy.deepcopy(op)
op2.chop(threshold=0.7)
self.assertEqual(len(op2.paulis), 4,
"\n{}".format(op2.print_operators()))
op3 = copy.deepcopy(op)
op3.chop(threshold=0.9)
self.assertEqual(len(op3.paulis), 0,
"\n{}".format(op3.print_operators()))
def test_representations(self):
self.assertEqual(len(self.qubitOp.representations), 1)
self.assertEqual(self.qubitOp.representations, ['matrix'])
self.qubitOp.convert("matrix", "paulis")
self.assertEqual(len(self.qubitOp.representations), 1)
self.assertEqual(self.qubitOp.representations, ['paulis'])
self.qubitOp.convert("paulis", "grouped_paulis")
self.assertEqual(len(self.qubitOp.representations), 1)
self.assertEqual(self.qubitOp.representations, ['grouped_paulis'])
def test_num_qubits(self):
op = Operator(paulis=[])
self.assertEqual(op.num_qubits, 0)
self.assertEqual(self.qubitOp.num_qubits, self.num_qubits)
def test_is_empty(self):
op = Operator(paulis=[])
self.assertTrue(op.is_empty())
self.assertFalse(self.qubitOp.is_empty())
def test_sumbit_multiple_circutis(self):
"""
test with single paulis
"""
num_qubits = 4
pauli_term = []
for pauli_label in itertools.product('IXYZ', repeat=num_qubits):
coeff = np.random.random(1)[0]
pauli_term.append([coeff, label_to_pauli(pauli_label)])
op = Operator(paulis=pauli_term)
depth = 1
var_form = get_variational_form_instance('RYRZ')
var_form.init_args(op.num_qubits, depth)
circuit = var_form.construct_circuit(
np.array(np.random.randn(var_form.num_parameters)))
execute_config = {'shots': 1, 'skip_transpiler': False}
non_matrix_mode = op.eval('paulis', circuit,
'local_statevector_simulator',
execute_config)[0]
matrix_mode = op.eval('matrix', circuit, 'local_statevector_simulator',
execute_config)[0]
self.assertAlmostEqual(matrix_mode, non_matrix_mode, 6)
def test_load_from_file(self):
paulis = ['IXYZ', 'XXZY', 'IIZZ', 'XXYY', 'ZZXX', 'YYYY']
coeffs = [
0.2 + -1j * 0.8, 0.6 + -1j * 0.6, 0.8 + -1j * 0.2,
-0.2 + -1j * 0.8, -0.6 - -1j * 0.6, -0.8 - -1j * 0.2
]
op = Operator(paulis=[])
for coeff, pauli in zip(coeffs, paulis):
pauli_term = [coeff, label_to_pauli(pauli)]
op += Operator(paulis=[pauli_term])
op.save_to_file('temp_op.json')
load_op = Operator.load_from_file('temp_op.json')
self.assertTrue(os.path.exists('temp_op.json'))
self.assertEqual(op, load_op)
os.remove('temp_op.json')
def test_group_paulis_1(self):
"""
Test with color grouping approach
"""
num_qubits = 4
pauli_term = []
for pauli_label in itertools.product('IXYZ', repeat=num_qubits):
coeff = np.random.random(1)[0]
pauli_term.append([coeff, label_to_pauli(''.join(pauli_label))])
op = Operator(paulis=pauli_term)
paulis = copy.deepcopy(op.paulis)
op.convert("paulis", "grouped_paulis")
flattened_grouped_paulis = [
pauli for group in op.grouped_paulis for pauli in group[1:]
]
for gp in flattened_grouped_paulis:
passed = False
for p in paulis:
if p[1] == gp[1]:
passed = p[0] == gp[0]
break
self.assertTrue(
passed, "non-existed paulis in grouped_paulis: {}".format(
gp[1].to_label()))
def test_group_paulis_2(self):
"""
Test with normal grouping approach
"""
num_qubits = 4
pauli_term = []
for pauli_label in itertools.product('IXYZ', repeat=num_qubits):
coeff = np.random.random(1)[0]
pauli_term.append([coeff, label_to_pauli(''.join(pauli_label))])
op = Operator(paulis=pauli_term)
op.coloring = None
paulis = copy.deepcopy(op.paulis)
op.convert("paulis", "grouped_paulis")
flattened_grouped_paulis = [
pauli for group in op.grouped_paulis for pauli in group[1:]
]
for gp in flattened_grouped_paulis:
passed = False
for p in paulis:
if p[1] == gp[1]:
passed = p[0] == gp[0]
break
self.assertTrue(
passed, "non-existed paulis in grouped_paulis: {}".format(
gp[1].to_label()))