def get_optimal_vector(self) -> Union[List[float], Dict[str, int]]:
"""Get the simulation outcome of the optimal circuit. """
from qiskit.utils.run_circuits import find_regs_by_name
if self._ret.optimal_point is None:
raise AlgorithmError(
"Cannot find optimal vector before running the "
"algorithm to find optimal params.")
qc = self.get_optimal_circuit()
min_vector = {}
if self._quantum_instance.is_statevector:
ret = self._quantum_instance.execute(qc)
min_vector = ret.get_statevector(qc)
else:
c = ClassicalRegister(qc.width(), name='c')
q = find_regs_by_name(qc, 'q')
qc.add_register(c)
qc.barrier(q)
qc.measure(q, c)
ret = self._quantum_instance.execute(qc)
counts = ret.get_counts(qc)
# normalize, just as done in CircuitSampler.sample_circuits
shots = self._quantum_instance._run_config.shots
min_vector = {b: (v / shots)**0.5 for (b, v) in counts.items()}
return min_vector
def get_optimal_vector(self):
""" get optimal vector """
# pylint: disable=import-outside-toplevel
from qiskit.utils.run_circuits import find_regs_by_name
if 'opt_params' not in self._ret:
raise QiskitMachineLearningError(
"Cannot find optimal vector before running "
"the algorithm to find optimal params.")
qc = self.get_optimal_circuit()
if self._quantum_instance.is_statevector:
ret = self._quantum_instance.execute(qc)
self._ret['min_vector'] = ret.get_statevector(qc, decimals=16)
else:
c = ClassicalRegister(qc.width(), name='c')
q = find_regs_by_name(qc, 'q')
qc.add_register(c)
qc.barrier(q)
qc.measure(q, c)
ret = self._quantum_instance.execute(qc)
self._ret['min_vector'] = ret.get_counts(qc)
return self._ret['min_vector']
def get_optimal_vector(self) -> Union[List[float], Dict[str, int]]:
"""Get the simulation outcome of the optimal circuit. """
# pylint: disable=import-outside-toplevel
from qiskit.utils.run_circuits import find_regs_by_name
if 'opt_params' not in self._ret:
raise AlgorithmError(
"Cannot find optimal vector before running the "
"algorithm to find optimal params.")
qc = self.get_optimal_circuit()
if self._quantum_instance.is_statevector:
ret = self._quantum_instance.execute(qc)
self._ret['min_vector'] = ret.get_statevector(qc)
else:
c = ClassicalRegister(qc.width(), name='c')
q = find_regs_by_name(qc, 'q')
qc.add_register(c)
qc.barrier(q)
qc.measure(q, c)
ret = self._quantum_instance.execute(qc)
self._ret['min_vector'] = ret.get_counts(qc)
return self._ret['min_vector']