def test_insert_barriers(self):
"""Test using insert_barriers."""
evo = EvolvedOperatorAnsatz(Z, reps=4, insert_barriers=True)
ref = QuantumCircuit(1)
for parameter in evo.parameters:
ref.rz(2.0 * parameter, 0)
ref.barrier()
self.assertEqual(evo.decompose(), ref)
def test_custom_evolution(self):
"""Test using another evolution than the default (e.g. matrix evolution)."""
op = X ^ I ^ Z
matrix = op.to_matrix()
evo = EvolvedOperatorAnsatz(op, evolution=MatrixEvolution())
parameters = evo.parameters
reference = QuantumCircuit(3)
reference.hamiltonian(matrix, parameters[0], [0, 1, 2])
self.assertEqual(evo.decompose(), reference)
def test_insert_barriers(self):
"""Test using insert_barriers."""
evo = EvolvedOperatorAnsatz(Z, reps=4, insert_barriers=True)
evo._build()
ref = QuantumCircuit(1)
for parameter in evo.parameters:
ref.rz(2.0 * parameter, 0)
# ref.rx(2.0 * parameter, 0)
if parameter != evo.parameters[-1]:
ref.barrier()
self.assertEqual(evo, ref)
def test_changing_operators(self):
"""Test rebuilding after the operators changed."""
ops = [X, Y, Z]
evo = EvolvedOperatorAnsatz(ops)
evo.operators = [X, Y]
parameters = evo.parameters
reference = QuantumCircuit(1)
reference.rx(2 * parameters[0], 0)
reference.ry(2 * parameters[1], 0)
self.assertEqual(evo.decompose(), reference)
def test_evolved_op_ansatz(self):
"""Test the default evolution."""
num_qubits = 3
ops = [Z ^ num_qubits, Y ^ num_qubits, X ^ num_qubits]
strings = ["z" * num_qubits, "y" * num_qubits, "x" * num_qubits] * 2
evo = EvolvedOperatorAnsatz(ops, 2)
reference = QuantumCircuit(num_qubits)
parameters = evo.parameters
for string, time in zip(strings, parameters):
reference.compose(evolve(string, time), inplace=True)
self.assertEqual(evo.decompose().decompose(), reference)
def test_empty_build_fails(self):
"""Test setting no operators to evolve raises the appropriate error."""
evo = EvolvedOperatorAnsatz()
with self.assertRaises(ValueError):
_ = evo.draw()
def test_invalid_reps(self):
"""Test setting an invalid number of reps."""
with self.assertRaises(ValueError):
_ = EvolvedOperatorAnsatz(X, reps=-1)
