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])
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_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 init_params(self, params, algo_input):
"""
Initialize via parameters dictionary and algorithm input instance
Args:
params (dict): parameters dictionary
algo_input (EnergyInput): EnergyInput instance
"""
if algo_input is None:
raise AlgorithmError("EnergyInput instance is required.")
operator = algo_input.qubit_op
vqe_params = params.get(QuantumAlgorithm.SECTION_KEY_ALGORITHM)
operator_mode = vqe_params.get('operator_mode')
initial_point = vqe_params.get('initial_point')
# Set up initial state, we need to add computed num qubits to params
init_state_params = params.get(
QuantumAlgorithm.SECTION_KEY_INITIAL_STATE)
init_state_params['num_qubits'] = operator.num_qubits
init_state = get_initial_state_instance(init_state_params['name'])
init_state.init_params(init_state_params)
# Set up variational form, we need to add computed num qubits, and initial state to params
var_form_params = params.get(QuantumAlgorithm.SECTION_KEY_VAR_FORM)
var_form_params['num_qubits'] = operator.num_qubits
var_form_params['initial_state'] = init_state
var_form = get_variational_form_instance(var_form_params['name'])
var_form.init_params(var_form_params)
# Set up optimizer
opt_params = params.get(QuantumAlgorithm.SECTION_KEY_OPTIMIZER)
optimizer = get_optimizer_instance(opt_params['name'])
optimizer.init_params(opt_params)
if 'statevector' not in self._backend and operator_mode == 'matrix':
logger.debug('Qasm simulation does not work on {} mode, changing \
the operator_mode to paulis'.format(operator_mode))
operator_mode = 'paulis'
self.init_args(operator,
operator_mode,
var_form,
optimizer,
opt_init_point=initial_point,
aux_operators=algo_input.aux_ops)
logger.info(self.print_setting())
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]