def cost(x, device):
with QuantumTape() as tape:
qml.Hadamard(wires=[0])
qml.CNOT(wires=[0, 1])
sample(qml.PauliZ(0))
sample(qml.PauliX(1))
return tape.execute(device)
def cost(x, device):
with AutogradInterface.apply(QuantumTape()) as tape:
qml.Hadamard(wires=[0])
qml.CNOT(wires=[0, 1])
sample(qml.PauliZ(0))
sample(qml.PauliX(1))
return tape.execute(device)
def test_sampling(self):
"""Test that the tape correctly marks itself as returning samples"""
with QuantumTape() as tape:
expval(qml.PauliZ(wires=1))
assert not tape.is_sampled
with QuantumTape() as tape:
sample(qml.PauliZ(wires=0))
assert tape.is_sampled
def test_sampling(self):
"""Test sampling works as expected"""
dev = qml.device("default.qubit", wires=2, shots=10)
with TorchInterface.apply(QuantumTape()) as tape:
qml.Hadamard(wires=[0])
qml.CNOT(wires=[0, 1])
sample(qml.PauliZ(0))
sample(qml.PauliX(1))
res = tape.execute(dev)
assert res.shape == (2, 10)
assert isinstance(res, torch.Tensor)
def test_sampling(self):
"""Test sampling works as expected"""
dev = qml.device("default.qubit.tf", wires=2, shots=10)
with tf.GradientTape() as tape:
with QuantumTape() as qtape:
qml.Hadamard(wires=[0])
qml.CNOT(wires=[0, 1])
sample(qml.PauliZ(0))
sample(qml.PauliX(1))
res = qtape.execute(dev)
assert res.shape == (2, 10)
assert isinstance(res, tf.Tensor)
def circuit():
qml.Hadamard(wires=[0])
qml.CNOT(wires=[0, 1])
return [sample(qml.PauliZ(0)), sample(qml.PauliX(1))]