def get_memory(self, experiment=None):
"""Get the sequence of memory states (readouts) for each shot
The data from the experiment is a list of format
['00000', '01000', '10100', '10100', '11101', '11100', '00101', ..., '01010']
Args:
experiment (str or QuantumCircuit or Schedule or int or None): the index of the
experiment, as specified by ``data()``.
Returns:
List[str] or np.ndarray: Either the list of each outcome, formatted according to
registers in circuit or a complex numpy np.ndarray with shape:
============ ============= =====
`meas_level` `meas_return` shape
============ ============= =====
0 `single` np.ndarray[shots, memory_slots, memory_slot_size]
0 `avg` np.ndarray[memory_slots, memory_slot_size]
1 `single` np.ndarray[shots, memory_slots]
1 `avg` np.ndarray[memory_slots]
2 `memory=True` list
============ ============= =====
Raises:
QiskitError: if there is no memory data for the circuit.
"""
exp_result = self._get_experiment(experiment)
try:
try: # header is not available
header = exp_result.header.to_dict()
except (AttributeError, QiskitError):
header = None
meas_level = exp_result.meas_level
memory = self.data(experiment)["memory"]
if meas_level == MeasLevel.CLASSIFIED:
return postprocess.format_level_2_memory(memory, header)
elif meas_level == MeasLevel.KERNELED:
return postprocess.format_level_1_memory(memory)
elif meas_level == MeasLevel.RAW:
return postprocess.format_level_0_memory(memory)
else:
raise QiskitError(
f"Measurement level {meas_level} is not supported")
except KeyError as ex:
raise QiskitError(
'No memory for experiment "{}". '
"Please verify that you either ran a measurement level 2 job "
'with the memory flag set, eg., "memory=True", '
"or a measurement level 0/1 job.".format(
repr(experiment))) from ex
def get_memory(self, experiment=None):
"""Get the sequence of memory states (readouts) for each shot
The data from the experiment is a list of format
['00000', '01000', '10100', '10100', '11101', '11100', '00101', ..., '01010']
Args:
experiment (str or QuantumCircuit or Schedule or int or None): the index of the
experiment, as specified by ``data()``.
Returns:
List[str] or np.ndarray: Either the list of each outcome, formatted according to
registers in circuit or a complex numpy np.darray with shape:
============ ============= =====
`meas_level` `meas_return` shape
============ ============= =====
0 `single` np.ndarray[shots, memory_slots, memory_slot_size]
0 `avg` np.ndarray[memory_slots, memory_slot_size]
1 `single` np.ndarray[shots, memory_slots]
1 `avg` np.ndarray[memory_slots]
2 `memory=True` list
============ ============= =====
Raises:
QiskitError: if there is no memory data for the circuit.
"""
try:
exp_result = self._get_experiment(experiment)
try: # header is not available
header = exp_result.header.to_dict()
except (AttributeError, QiskitError):
header = None
meas_level = exp_result.meas_level
memory = self.data(experiment)['memory']
if meas_level == 2:
return postprocess.format_level_2_memory(memory, header)
elif meas_level == 1:
return postprocess.format_level_1_memory(memory)
elif meas_level == 0:
return postprocess.format_level_0_memory(memory)
else:
raise QiskitError(
'Measurement level {0} is not supported'.format(
meas_level))
except KeyError:
raise QiskitError(
'No memory for experiment "{0}".'.format(experiment))
