def results(
self,
timeout_seconds: int = 7200,
polling_seconds: int = 1
) -> Union[results.QPUResult, results.SimulatorResult]:
"""Polls the IonQ api for results.
Args:
timeout_seconds: The total number of seconds to poll for.
polling_seconds: The interval with which to poll.
Returns:
Either a `cirq.ionq.QPUResults` or `cirq.ionq.SimulatorResults` depending on whether
the job was running on an actual quantum processor or a simulator.
Raises:
IonQUnsuccessfulJob: If the job has failed, been canceled, or deleted.
IonQException: If unable to get the results from the API.
"""
time_waited_seconds = 0
while time_waited_seconds < timeout_seconds:
# Status does a refresh.
if self.status() in self.TERMINAL_STATES:
break
time.sleep(polling_seconds)
time_waited_seconds += polling_seconds
if self.status() != 'completed':
if 'failure' in self._job and 'error' in self._job['failure']:
error = self._job['failure']['error']
raise RuntimeError(f'Job failed. Error message: {error}')
raise RuntimeError(
f'Job was not completed successful. Instead had status: {self.status()}'
)
# IonQ returns results in little endian, Cirq prefers to use big endian, so we convert.
if self.target() == 'qpu':
repetitions = self.repetitions()
counts = {
_little_endian_to_big(int(k), self.num_qubits()):
int(repetitions * float(v))
for k, v in self._job['data']['histogram'].items()
}
return results.QPUResult(
counts=counts,
num_qubits=self.num_qubits(),
measurement_dict=self.measurement_dict(),
)
else:
probabilities = {
_little_endian_to_big(int(k), self.num_qubits()): float(v)
for k, v in self._job['data']['histogram'].items()
}
return results.SimulatorResult(
probabilities=probabilities,
num_qubits=self.num_qubits(),
measurement_dict=self.measurement_dict(),
repetitions=self.repetitions(),
)
def results(
self,
timeout_seconds: int = 7200,
polling_seconds: int = 1
) -> Union[results.QPUResult, results.SimulatorResult]:
"""Polls the IonQ api for results.
Args:
timeout_seconds: The total number of seconds to poll for.
polling_seconds: The interval with which to poll.
Returns:
Either a `cirq.ionq.QPUResults` or `cirq.ionq.SimulatorResults`
depending on whether the job was running on an actual quantum
processor or a simulator.
Raises:
RuntimeError: if the job was not successfully completed (cancelled
or failed).
"""
time_waited_seconds = 0
while time_waited_seconds < timeout_seconds:
# Status does a refresh.
if self.status() in self.TERMINAL_STATES:
break
time.sleep(polling_seconds)
time_waited_seconds += polling_seconds
if self.status() != 'completed':
raise RuntimeError('Job was not completed successful. Instead had'
f' status: {self.status()}')
# IonQ returns results in little endian, Cirq prefers to use big endian,
# so we convert.
if self.target() == 'qpu':
repetitions = self.repetitions()
assert repetitions is not None
counts = {
_little_endian_to_big(int(k), self.num_qubits()):
int(repetitions * float(v))
for k, v in self._job['data']['histogram'].items()
}
return results.QPUResult(counts=counts,
num_qubits=self.num_qubits())
else:
probabilities = {
_little_endian_to_big(int(k), self.num_qubits()): float(v)
for k, v in self._job['data']['histogram'].items()
}
return results.SimulatorResult(probabilities=probabilities,
num_qubits=self.num_qubits())