def cache(self):
if self._cache is None:
cache = K.create_gate_cache(self)
target_qubits = set(self.target_qubits)
unmeasured_qubits = []
reduced_target_qubits = dict()
for i in range(self.nqubits):
if i in target_qubits:
reduced_target_qubits[i] = i - len(unmeasured_qubits)
else:
unmeasured_qubits.append(i)
cache.unmeasured_qubits = tuple(unmeasured_qubits)
cache.reduced_target_qubits = list(
reduced_target_qubits[i] for i in self.target_qubits)
if K.name != "custom":
sorted_qubits = sorted(self.target_qubits)
cache.order = list(sorted_qubits)
s = 1 + self.density_matrix
cache.tensor_shape = K.cast(s * self.nqubits * (2,), dtype='DTYPEINT')
cache.flat_shape = K.cast(s * (2 ** self.nqubits,), dtype='DTYPEINT')
if self.density_matrix:
cache.order.extend((q + self.nqubits for q in sorted_qubits))
cache.order.extend((q for q in range(self.nqubits)
if q not in sorted_qubits))
cache.order.extend((q + self.nqubits for q in range(self.nqubits)
if q not in sorted_qubits))
else:
cache.order.extend((q for q in range(self.nqubits)
if q not in sorted_qubits))
self._cache = cache
return self._cache
def cache(self):
if self._cache is None:
cache = K.create_gate_cache(self)
qubits = sorted(self.nqubits - q - 1 for q in self.target_qubits)
cache.qubits_tensor = qubits + [q + self.nqubits for q in qubits]
cache.target_qubits_dm = self.qubits + tuple(q + self.nqubits for q in self.qubits)
if K.name != "custom":
cache.calculation_cache = K.create_einsum_cache(
cache.target_qubits_dm, 2 * self.nqubits)
self._cache = cache
return self._cache
def cache(self):
if self._cache is None:
cache = K.create_gate_cache(self)
qubits = sorted(self.nqubits - q - 1 for q in self.target_qubits)
cache.qubits_tensor = K.cast(qubits +
[q + self.nqubits for q in qubits],
dtype="int32")
cache.target_qubits_dm = self.qubits + tuple(q + self.nqubits
for q in self.qubits)
if not K.is_custom:
cache.calculation_cache = K.create_einsum_cache(
cache.target_qubits_dm, 2 * self.nqubits)
self._cache = cache
return self._cache
def cache(self):
if self._cache is None:
self._cache = K.create_gate_cache(self)
return self._cache
