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
