def _compute_metric_dict(
self, metrics: v2.metrics_pb2.MetricsSnapshot
) -> Dict[str, Dict[Tuple['cirq.GridQubit', ...], Any]]:
results: Dict[str, Dict[Tuple[devices.GridQubit, ...],
Any]] = defaultdict(dict)
for metric in metrics:
name = metric.name
# Flatten the values to a list, removing keys containing type names
# (e.g. proto version of each value is {<type>: value}).
flat_values = [
getattr(v, v.WhichOneof('val')) for v in metric.values
]
if metric.targets:
targets = [
t[1:] if t.startswith('q') else t for t in metric.targets
]
# TODO: Remove when calibrations don't prepend this.
qubits = tuple(v2.grid_qubit_from_proto_id(t) for t in targets)
results[name][qubits] = flat_values
else:
assert len(results[name]) == 0, (
'Only one metric of a given name can have no targets. '
'Found multiple for key {}'.format(name))
results[name][()] = flat_values
return results
def from_proto(self,
proto: v2.program_pb2.Operation) -> 'cirq.GateOperation':
"""Turns a cirq.api.google.v2.Operation proto into a GateOperation."""
qubits = [api_v2.grid_qubit_from_proto_id(q.id) for q in proto.qubits]
args = self._args_from_proto(proto)
if self.num_qubits_param is not None:
args[self.num_qubits_param] = len(qubits)
gate = self.gate_constructor(**args)
return gate.on(*qubits)
def test_grid_qubit_from_proto_id_invalid():
with pytest.raises(ValueError, match='3_3_3'):
_ = v2.grid_qubit_from_proto_id('3_3_3')
with pytest.raises(ValueError, match='a_2'):
_ = v2.grid_qubit_from_proto_id('a_2')
with pytest.raises(ValueError, match='q1_q2'):
v2.grid_qubit_from_proto_id('q1_q2')
with pytest.raises(ValueError, match='q-1_q2'):
v2.grid_qubit_from_proto_id('q-1_q2')
with pytest.raises(ValueError, match='-1_q2'):
v2.grid_qubit_from_proto_id('-1_q2')
def str_to_key(self, target: str) -> Union[devices.GridQubit, str]:
"""Turns a string into a calibration key.
Attempts to parse it as a GridQubit. If this fails,
returns the string itself.
"""
try:
return v2.grid_qubit_from_proto_id(target)
except ValueError:
return target
def _qid_from_str(id_str: str) -> 'cirq.Qid':
"""Translates a qubit id string info cirq.Qid objects.
Tries to translate to GridQubit if possible (e.g. '4_3'), otherwise
falls back to using NamedQubit.
"""
try:
return v2.grid_qubit_from_proto_id(id_str)
except ValueError:
return v2.named_qubit_from_proto_id(id_str)
def from_proto(self,
proto: v2.program_pb2.Operation,
*,
arg_function_language: str = '') -> 'cirq.Operation':
"""Turns a cirq.google.api.v2.Operation proto into a GateOperation."""
qubits = [v2.grid_qubit_from_proto_id(q.id) for q in proto.qubits]
args = self._args_from_proto(
proto, arg_function_language=arg_function_language)
if self.num_qubits_param is not None:
args[self.num_qubits_param] = len(qubits)
gate = self.gate_constructor(**args)
return self.op_wrapper(gate.on(*qubits), proto)
def _trial_sweep_from_proto(
msg: result_pb2.SweepResult,
measure_map: Dict[str, MeasureInfo] = None,
) -> List[study.TrialResult]:
"""Converts a SweepResult proto into List of list of trial results.
Args:
msg: v2 Result message to convert.
measure_map: A mapping of measurement keys to a mesurement configuration
containing qubit ordering. If no measurement config is provided,
then all results will be returned in the order specified within the
result.
Returns:
A list containing a list of trial results for the sweep.
"""
trial_sweep: List[study.TrialResult] = []
for pr in msg.parameterized_results:
m_data: Dict[str, np.ndarray] = {}
for mr in pr.measurement_results:
qubit_results: OrderedDict[devices.GridQubit,
np.ndarray] = OrderedDict()
for qmr in mr.qubit_measurement_results:
qubit = v2.grid_qubit_from_proto_id(qmr.qubit.id)
if qubit in qubit_results:
raise ValueError('qubit already exists: {}'.format(qubit))
qubit_results[qubit] = unpack_bits(qmr.results,
msg.repetitions)
if measure_map:
ordered_results = [
qubit_results[qubit]
for qubit in measure_map[mr.key].qubits
]
else:
ordered_results = list(qubit_results.values())
m_data[mr.key] = np.array(ordered_results).transpose()
trial_sweep.append(
study.TrialResult.from_single_parameter_set(
params=study.ParamResolver(dict(pr.params.assignments)),
measurements=m_data,
))
return trial_sweep
def deserialize_paulisum(proto):
"""Constructs a `cirq.PauliSum` from pauli_sum proto.
Args:
proto: A pauli_sum proto object.
Returns:
A `cirq.PauliSum` object.
"""
if not isinstance(proto, pauli_sum_pb2.PauliSum):
raise TypeError("deserialize requires a pauli_sum_pb2 object."
" Given: " + str(type(proto)))
res = cirq.PauliSum()
for term_proto in proto.terms:
coef = term_proto.coefficient_real + 1.0j * term_proto.coefficient_imag
term = coef * cirq.PauliString()
for pauli_qubit_pair in term_proto.paulis:
op = _process_pauli_type(pauli_qubit_pair.pauli_type)
term *= op(v2.grid_qubit_from_proto_id(pauli_qubit_pair.qubit_id))
res += term
return res
def test_grid_qubit_from_proto_id():
assert v2.grid_qubit_from_proto_id('1_2') == cirq.GridQubit(1, 2)
assert v2.grid_qubit_from_proto_id('10_2') == cirq.GridQubit(10, 2)
assert v2.grid_qubit_from_proto_id('-1_2') == cirq.GridQubit(-1, 2)
assert v2.grid_qubit_from_proto_id('q-1_2') == cirq.GridQubit(-1, 2)
assert v2.grid_qubit_from_proto_id('q1_2') == cirq.GridQubit(1, 2)
def _qid_from_str(id_str: str) -> 'cirq.Qid':
try:
return v2.grid_qubit_from_proto_id(id_str)
except ValueError:
return v2.named_qubit_from_proto_id(id_str)
