def setUp(self):
super().setUp()
self.ansatz = RealAmplitudes(num_qubits=2, reps=2)
self.observable = PauliSumOp.from_list([
("II", -1.052373245772859),
("IZ", 0.39793742484318045),
("ZI", -0.39793742484318045),
("ZZ", -0.01128010425623538),
("XX", 0.18093119978423156),
])
self.expvals = -1.0284380963435145, -1.284366511861733
self.psi = (RealAmplitudes(num_qubits=2,
reps=2), RealAmplitudes(num_qubits=2,
reps=3))
self.params = tuple(psi.parameters for psi in self.psi)
self.hamiltonian = (
SparsePauliOp.from_list([("II", 1), ("IZ", 2), ("XI", 3)]),
SparsePauliOp.from_list([("IZ", 1)]),
SparsePauliOp.from_list([("ZI", 1), ("ZZ", 1)]),
)
self.theta = (
[0, 1, 1, 2, 3, 5],
[0, 1, 1, 2, 3, 5, 8, 13],
[1, 2, 3, 4, 5, 6],
)
def test_errors(self):
"""Test for errors"""
qc = QuantumCircuit(1)
qc2 = QuantumCircuit(2)
op = SparsePauliOp.from_list([("I", 1)])
op2 = SparsePauliOp.from_list([("II", 1)])
with self.assertWarns(DeprecationWarning):
est = Estimator([qc, qc2], [op, op2], [[]] * 2)
with self.assertRaises(QiskitError), self.assertWarns(
DeprecationWarning):
est([0], [1], [[]])
with self.assertRaises(QiskitError), self.assertWarns(
DeprecationWarning):
est([1], [0], [[]])
with self.assertRaises(QiskitError), self.assertWarns(
DeprecationWarning):
est([0], [0], [[1e4]])
with self.assertRaises(QiskitError), self.assertWarns(
DeprecationWarning):
est([1], [1], [[1, 2]])
with self.assertRaises(QiskitError), self.assertWarns(
DeprecationWarning):
est([0, 1], [1], [[1]])
with self.assertRaises(QiskitError), self.assertWarns(
DeprecationWarning):
est([0], [0, 1], [[1]])
def test_1qubit(self):
"""Test for 1-qubit cases"""
qc = QuantumCircuit(1)
qc2 = QuantumCircuit(1)
qc2.x(0)
op = SparsePauliOp.from_list([("I", 1)])
op2 = SparsePauliOp.from_list([("Z", 1)])
with self.assertWarns(DeprecationWarning):
est = Estimator([qc, qc2], [op, op2], [[]] * 2)
result = est([0], [0], [[]])
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values, [1])
with self.assertWarns(DeprecationWarning):
result = est([0], [1], [[]])
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values, [1])
with self.assertWarns(DeprecationWarning):
result = est([1], [0], [[]])
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values, [1])
with self.assertWarns(DeprecationWarning):
result = est([1], [1], [[]])
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values, [-1])
def test_run_1qubit(self):
"""Test for 1-qubit cases"""
qc = QuantumCircuit(1)
qc2 = QuantumCircuit(1)
qc2.x(0)
op = SparsePauliOp.from_list([("I", 1)])
op2 = SparsePauliOp.from_list([("Z", 1)])
est = Estimator()
result = est.run([qc], [op], [[]]).result()
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values, [1])
result = est.run([qc], [op2], [[]]).result()
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values, [1])
result = est.run([qc2], [op], [[]]).result()
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values, [1])
result = est.run([qc2], [op2], [[]]).result()
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values, [-1])
def test_run_2qubits(self):
"""Test for 2-qubit cases (to check endian)"""
qc = QuantumCircuit(2)
qc2 = QuantumCircuit(2)
qc2.x(0)
op = SparsePauliOp.from_list([("II", 1)])
op2 = SparsePauliOp.from_list([("ZI", 1)])
op3 = SparsePauliOp.from_list([("IZ", 1)])
est = Estimator()
result = est.run([qc], [op], [[]]).result()
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values, [1])
result = est.run([qc2], [op], [[]]).result()
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values, [1])
result = est.run([qc], [op2], [[]]).result()
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values, [1])
result = est.run([qc2], [op2], [[]]).result()
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values, [1])
result = est.run([qc], [op3], [[]]).result()
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values, [1])
result = est.run([qc2], [op3], [[]]).result()
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values, [-1])
def test_permute(self, permutation, expected_pauli):
"""Test the permute method."""
pauli_sum = PauliSumOp(SparsePauliOp.from_list([("XYZ", 1)]))
expected = PauliSumOp(SparsePauliOp.from_list([(expected_pauli, 1)]))
permuted = pauli_sum.permute(permutation)
with self.subTest(msg="test permutated object"):
self.assertEqual(permuted, expected)
with self.subTest(msg="test original object is unchanged"):
original = PauliSumOp(SparsePauliOp.from_list([("XYZ", 1)]))
self.assertEqual(pauli_sum, original)
def test_find_Z2_symmetries(self):
"""test for find_Z2_symmetries"""
qubit_op = PauliSumOp.from_list([
("II", -1.0537076071291125),
("IZ", 0.393983679438514),
("ZI", -0.39398367943851387),
("ZZ", -0.01123658523318205),
("XX", 0.1812888082114961),
])
z2_symmetries = Z2Symmetries.find_Z2_symmetries(qubit_op)
self.assertEqual(z2_symmetries.symmetries, [Pauli("ZZ")])
self.assertEqual(z2_symmetries.sq_paulis, [Pauli("IX")])
self.assertEqual(z2_symmetries.sq_list, [0])
self.assertEqual(z2_symmetries.tapering_values, None)
tapered_op = z2_symmetries.taper(qubit_op)[1]
self.assertEqual(tapered_op.z2_symmetries.symmetries, [Pauli("ZZ")])
self.assertEqual(tapered_op.z2_symmetries.sq_paulis, [Pauli("IX")])
self.assertEqual(tapered_op.z2_symmetries.sq_list, [0])
self.assertEqual(tapered_op.z2_symmetries.tapering_values, [-1])
z2_symmetries.tapering_values = [-1]
primitive = SparsePauliOp.from_list([
("I", -1.0424710218959303),
("Z", -0.7879673588770277),
("X", -0.18128880821149604),
])
expected_op = TaperedPauliSumOp(primitive, z2_symmetries)
self.assertEqual(tapered_op, expected_op)
def test_run_errors(self):
"""Test for errors"""
qc = QuantumCircuit(1)
qc2 = QuantumCircuit(2)
op = SparsePauliOp.from_list([("I", 1)])
op2 = SparsePauliOp.from_list([("II", 1)])
est = Estimator()
with self.assertRaises(QiskitError):
est.run([qc], [op2], [[]]).result()
with self.assertRaises(QiskitError):
est.run([qc2], [op], [[]]).result()
with self.assertRaises(QiskitError):
est.run([qc], [op], [[1e4]]).result()
with self.assertRaises(QiskitError):
est.run([qc2], [op2], [[1, 2]]).result()
with self.assertRaises(QiskitError):
est.run([qc, qc2], [op2], [[1]]).result()
with self.assertRaises(QiskitError):
est.run([qc], [op, op2], [[1]]).result()
def setUp(self):
super().setUp()
z2_symmetries = Z2Symmetries(
[Pauli("IIZI"), Pauli("ZIII")],
[Pauli("IIXI"), Pauli("XIII")], [1, 3], [-1, 1])
self.primitive = SparsePauliOp.from_list([
("II", (-1.052373245772859)),
("ZI", (-0.39793742484318007)),
("IZ", (0.39793742484318007)),
("ZZ", (-0.01128010425623538)),
("XX", (0.18093119978423142)),
])
self.tapered_qubit_op = TaperedPauliSumOp(self.primitive,
z2_symmetries)
def from_list(
cls,
pauli_list: List[Tuple[str, complex]],
coeff: Union[complex, ParameterExpression] = 1.0,
) -> "PauliSumOp":
"""Construct from a pauli_list with the form [(pauli_str, coeffs)]
Args:
pauli_list: A list of Tuple of pauli_str and coefficient.
coeff: A coefficient multiplying the primitive.
Returns:
The PauliSumOp constructed from the pauli_list.
"""
return cls(SparsePauliOp.from_list(pauli_list), coeff=coeff)
def _taper(self, op: PauliSumOp, curr_tapering_values: List[int]) -> OperatorBase:
pauli_list = []
for pauli_term in op:
coeff_out = pauli_term.primitive.coeffs[0]
for idx, qubit_idx in enumerate(self._sq_list):
if (
pauli_term.primitive.table.Z[0][qubit_idx]
or pauli_term.primitive.table.X[0][qubit_idx]
):
coeff_out = curr_tapering_values[idx] * coeff_out
z_temp = np.delete(pauli_term.primitive.table.Z[0].copy(), np.asarray(self._sq_list))
x_temp = np.delete(pauli_term.primitive.table.X[0].copy(), np.asarray(self._sq_list))
pauli_list.append((Pauli((z_temp, x_temp)).to_label(), coeff_out))
spo = SparsePauliOp.from_list(pauli_list).simplify(atol=0.0)
z2_symmetries = self.copy()
z2_symmetries.tapering_values = curr_tapering_values
return TaperedPauliSumOp(spo, z2_symmetries)
def test_empty_parameter(self):
"""Test for empty parameter"""
n = 2
qc = QuantumCircuit(n)
op = SparsePauliOp.from_list([("I" * n, 1)])
with self.assertWarns(DeprecationWarning):
estimator = Estimator(circuits=[qc] * 10, observables=[op] * 10)
with self.subTest("one circuit"):
with self.assertWarns(DeprecationWarning):
result = estimator([0], [1], shots=1000)
np.testing.assert_allclose(result.values, [1])
self.assertEqual(len(result.metadata), 1)
with self.subTest("two circuits"):
with self.assertWarns(DeprecationWarning):
result = estimator([2, 4], [3, 5], shots=1000)
np.testing.assert_allclose(result.values, [1, 1])
self.assertEqual(len(result.metadata), 2)
def test_truncate_tapered_op(self):
"""Test setting cutoff tolerances for the tapered operator works."""
qubit_op = PauliSumOp.from_list([
("II", -1.0537076071291125),
("IZ", 0.393983679438514),
("ZI", -0.39398367943851387),
("ZZ", -0.01123658523318205),
("XX", 0.1812888082114961),
])
z2_symmetries = Z2Symmetries.find_Z2_symmetries(qubit_op)
z2_symmetries.tol = 0.2 # removes the X part of the tapered op which is < 0.2
tapered_op = z2_symmetries.taper(qubit_op)[1]
primitive = SparsePauliOp.from_list([
("I", -1.0424710218959303),
("Z", -0.7879673588770277),
])
expected_op = TaperedPauliSumOp(primitive, z2_symmetries)
self.assertEqual(tapered_op, expected_op)
def test_estimator(self):
"""test for a simple use case"""
lst = [("XX", 1), ("YY", 2), ("ZZ", 3)]
with self.subTest("PauliSumOp"):
observable = PauliSumOp.from_list(lst)
ansatz = RealAmplitudes(num_qubits=2, reps=2)
with self.assertWarns(DeprecationWarning):
est = Estimator([ansatz], [observable])
result = est([0], [0], parameter_values=[[0, 1, 1, 2, 3, 5]])
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values, [1.84209213])
with self.subTest("SparsePauliOp"):
observable = SparsePauliOp.from_list(lst)
ansatz = RealAmplitudes(num_qubits=2, reps=2)
with self.assertWarns(DeprecationWarning):
est = Estimator([ansatz], [observable])
result = est([0], [0], parameter_values=[[0, 1, 1, 2, 3, 5]])
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values, [1.84209213])
def test_run_numpy_params(self):
"""Test for numpy array as parameter values"""
qc = RealAmplitudes(num_qubits=2, reps=2)
op = SparsePauliOp.from_list([("IZ", 1), ("XI", 2), ("ZY", -1)])
k = 5
params_array = np.random.rand(k, qc.num_parameters)
params_list = params_array.tolist()
params_list_array = list(params_array)
estimator = Estimator()
target = estimator.run([qc] * k, [op] * k, params_list).result()
with self.subTest("ndarrary"):
result = estimator.run([qc] * k, [op] * k, params_array).result()
self.assertEqual(len(result.metadata), k)
np.testing.assert_allclose(result.values, target.values)
with self.subTest("list of ndarray"):
result = estimator.run([qc] * k, [op] * k,
params_list_array).result()
self.assertEqual(len(result.metadata), k)
np.testing.assert_allclose(result.values, target.values)
def test_convert(self):
""" convert test """
qubit_op = PauliSumOp.from_list([
("IIII", -0.8105479805373266),
("IIIZ", 0.17218393261915552),
("IIZZ", -0.22575349222402472),
("IZZI", 0.1721839326191556),
("ZZII", -0.22575349222402466),
("IIZI", 0.1209126326177663),
("IZZZ", 0.16892753870087912),
("IXZX", -0.045232799946057854),
("ZXIX", 0.045232799946057854),
("IXIX", 0.045232799946057854),
("ZXZX", -0.045232799946057854),
("ZZIZ", 0.16614543256382414),
("IZIZ", 0.16614543256382414),
("ZZZZ", 0.17464343068300453),
("ZIZI", 0.1209126326177663),
])
tapered_qubit_op = TwoQubitReduction(num_particles=2).convert(qubit_op)
self.assertIsInstance(tapered_qubit_op, TaperedPauliSumOp)
primitive = SparsePauliOp.from_list([
("II", -1.052373245772859),
("ZI", -0.39793742484318007),
("IZ", 0.39793742484318007),
("ZZ", -0.01128010425623538),
("XX", 0.18093119978423142),
])
symmetries = [Pauli("IIZI"), Pauli("ZIII")]
sq_paulis = [Pauli("IIXI"), Pauli("XIII")]
sq_list = [1, 3]
tapering_values = [-1, 1]
z2_symmetries = Z2Symmetries(symmetries, sq_paulis, sq_list,
tapering_values)
expected_op = TaperedPauliSumOp(primitive, z2_symmetries)
self.assertEqual(tapered_qubit_op, expected_op)
def test_numpy_params(self):
"""Test for numpy array as parameter values"""
qc = RealAmplitudes(num_qubits=2, reps=2)
op = SparsePauliOp.from_list([("IZ", 1), ("XI", 2), ("ZY", -1)])
k = 5
params_array = np.random.rand(k, qc.num_parameters)
params_list = params_array.tolist()
params_list_array = list(params_array)
with self.assertWarns(DeprecationWarning):
estimator = Estimator(circuits=qc, observables=op)
target = estimator([0] * k, [0] * k, params_list)
with self.subTest("ndarrary"):
with self.assertWarns(DeprecationWarning):
result = estimator([0] * k, [0] * k, params_array)
self.assertEqual(len(result.metadata), k)
np.testing.assert_allclose(result.values, target.values)
with self.subTest("list of ndarray"):
with self.assertWarns(DeprecationWarning):
result = estimator([0] * k, [0] * k, params_list_array)
self.assertEqual(len(result.metadata), k)
np.testing.assert_allclose(result.values, target.values)
def test_h2(self):
"""Test H2 molecule"""
with self.subTest("Excitation edges 1"):
assert np.alltrue(
bksf._bksf_edge_list_fermionic_op(
FermionicOp("+-+-", display_format="dense")) == np.array(
[[0, 1], [2, 3]]))
with self.subTest("Excitation edges 2"):
assert np.alltrue(
bksf._bksf_edge_list_fermionic_op(
FermionicOp("+--+", display_format="dense")) == np.array(
[[0, 1], [3, 2]]))
## H2 from pyscf with sto-3g basis
h2_fop = FermionicOp(
[
("+-+-", (0.18128880821149607 + 0j)),
("+--+", (-0.18128880821149607 + 0j)),
("-++-", (-0.18128880821149607 + 0j)),
("-+-+", (0.18128880821149604 + 0j)),
("IIIN", (-0.4759487152209648 + 0j)),
("IINI", (-1.2524635735648986 + 0j)),
("IINN", (0.48217928821207245 + 0j)),
("INII", (-0.4759487152209648 + 0j)),
("ININ", (0.697393767423027 + 0j)),
("INNI", (0.6634680964235684 + 0j)),
("NIII", (-1.2524635735648986 + 0j)),
("NIIN", (0.6634680964235684 + 0j)),
("NINI", (0.6744887663568382 + 0j)),
("NNII", (0.48217928821207245 + 0j)),
],
display_format="dense",
)
expected_pauli_op = SparsePauliOp.from_list([
("IIII", (-0.8126179630230767 + 0j)),
("IIZZ", (0.17119774903432952 + 0j)),
("IYYI", (0.04532220205287402 + 0j)),
("IZIZ", (0.17119774903432955 + 0j)),
("IZZI", (0.34297063344496626 + 0j)),
("XIIX", (0.04532220205287402 + 0j)),
("YIIY", (0.04532220205287402 + 0j)),
("YZZY", (0.04532220205287402 + 0j)),
("ZIIZ", (0.3317340482117842 + 0j)),
("ZIZI", (-0.22278593040418454 + 0j)),
("ZXXZ", (0.04532220205287402 + 0j)),
("ZYYZ", (0.04532220205287402 + 0j)),
("ZZII", (-0.22278593040418454 + 0j)),
("ZZZZ", (0.24108964410603623 + 0j)),
])
pauli_sum_op = BravyiKitaevSuperFastMapper().map(h2_fop)
op1 = _sort_simplify(expected_pauli_op)
op2 = _sort_simplify(pauli_sum_op.primitive)
with self.subTest("Map H2 frome sto3g basis, number of terms"):
self.assertEqual(len(op1), len(op2))
with self.subTest("Map H2 frome sto3g basis result"):
self.assertEqual(op1, op2)
with self.subTest("Sparse FermionicOp input"):
h2_fop_sparse = h2_fop.to_normal_order()
pauli_sum_op_from_sparse = BravyiKitaevSuperFastMapper().map(
h2_fop_sparse)
op2_from_sparse = _sort_simplify(
pauli_sum_op_from_sparse.primitive)
self.assertEqual(op1, op2_from_sparse)
def test_estimator_example(self):
"""test for Estimator example"""
psi1 = RealAmplitudes(num_qubits=2, reps=2)
psi2 = RealAmplitudes(num_qubits=2, reps=3)
params1 = psi1.parameters
params2 = psi2.parameters
op1 = SparsePauliOp.from_list([("II", 1), ("IZ", 2), ("XI", 3)])
op2 = SparsePauliOp.from_list([("IZ", 1)])
op3 = SparsePauliOp.from_list([("ZI", 1), ("ZZ", 1)])
with self.assertWarns(DeprecationWarning):
est = Estimator([psi1, psi2], [op1, op2, op3], [params1, params2])
theta1 = [0, 1, 1, 2, 3, 5]
theta2 = [0, 1, 1, 2, 3, 5, 8, 13]
theta3 = [1, 2, 3, 4, 5, 6]
# calculate [ <psi1(theta1)|op1|psi1(theta1)> ]
with self.assertWarns(DeprecationWarning):
result = est([0], [0], [theta1])
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values, [1.5555572817900956])
self.assertEqual(len(result.metadata), 1)
# calculate [ <psi1(theta1)|op2|psi1(theta1)>, <psi1(theta1)|op3|psi1(theta1)> ]
with self.assertWarns(DeprecationWarning):
result = est([0, 0], [1, 2], [theta1] * 2)
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values,
[-0.5516530027638437, 0.07535238795415422])
self.assertEqual(len(result.metadata), 2)
# calculate [ <psi2(theta2)|op2|psi2(theta2)> ]
with self.assertWarns(DeprecationWarning):
result = est([1], [1], [theta2])
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values, [0.17849238433885167])
self.assertEqual(len(result.metadata), 1)
# calculate [ <psi1(theta1)|op1|psi1(theta1)>, <psi1(theta3)|op1|psi1(theta3)> ]
with self.assertWarns(DeprecationWarning):
result = est([0, 0], [0, 0], [theta1, theta3])
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(result.values,
[1.5555572817900956, 1.0656325933346835])
self.assertEqual(len(result.metadata), 2)
# calculate [ <psi1(theta1)|op1|psi1(theta1)>,
# <psi2(theta2)|op2|psi2(theta2)>,
# <psi1(theta3)|op3|psi1(theta3)> ]
with self.assertWarns(DeprecationWarning):
result = est([0, 1, 0], [0, 1, 2], [theta1, theta2, theta3])
self.assertIsInstance(result, EstimatorResult)
np.testing.assert_allclose(
result.values,
[1.5555572817900956, 0.17849238433885167, -1.0876631752254926])
self.assertEqual(len(result.metadata), 3)
# It is possible to pass objects.
# calculate [ <psi2(theta2)|H2|psi2(theta2)> ]
with self.assertWarns(DeprecationWarning):
result = est([psi2], [op2], [theta2])
np.testing.assert_allclose(result.values, [0.17849238433885167])
self.assertEqual(len(result.metadata), 1)
