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torch.random.manual_seed(123) |
np.random.choice(ntest, 10) |
print(test.iloc[ind]) |
print(test["y"].values[ind]) |
print(ypred) |
name2tensor(name) |
rnn.init_hidden() |
torch.no_grad() |
range(input.shape[0]) |
rnn(input[s], hidden) |
output.item() |
print(f"namae: {name}, P(female) |
pytest.mark.parametrize("d", pldevices) |
test_load_device(self, d, backend) |
qml.device(d[0], wires=2, backend=backend, shots=1024) |
test_incorrect_backend(self) |
pytest.raises(ValueError, match="Backend 'none' does not exist") |
qml.device("qiskit.aer", wires=2, backend="none") |
test_incorrect_backend_wires(self) |
pytest.raises(ValueError, match=r"Backend 'statevector\_simulator' supports maximum") |
qml.device("qiskit.aer", wires=100, backend="statevector_simulator") |
test_args(self) |
pytest.raises(TypeError, match="missing 1 required positional argument") |
qml.device("qiskit.aer") |
pytest.raises(qml.DeviceError, match="specified number of shots needs to be at least 1") |
qml.device("qiskit.aer", backend="qasm_simulator", wires=1, shots=0) |
pytest.mark.parametrize("d", pldevices) |
pytest.mark.parametrize("analytic", [True, False]) |
pytest.mark.parametrize("shots", [8192]) |
test_one_qubit_circuit(self, shots, analytic, d, backend, tol) |
pytest.skip("Hardware simulators do not support analytic mode") |
qml.device(d[0], wires=1, backend=backend, shots=shots, analytic=analytic) |
qml.qnode(dev) |
circuit(x, y, z) |
qml.BasisState(np.array([1]) |
qml.Hadamard(wires=0) |
qml.Rot(x, y, z, wires=0) |
qml.expval(qml.PauliZ(0) |
np.allclose(circuit(a, b, c) |
np.cos(a) |
np.sin(b) |
pytest.mark.parametrize("d", pldevices) |
pytest.mark.parametrize("analytic", [False]) |
pytest.mark.parametrize("shots", [8192]) |
test_one_qubit_circuit(self, shots, analytic, d, backend, tol) |
qml.device(d[0], wires=1, backend=backend, shots=shots, analytic=analytic) |
qml.qnode(dev) |
circuit(x, y, z) |
qml.BasisState(np.array([0]) |
qml.Rot(x, y, z, wires=0) |
qml.expval(qml.PauliZ(0) |
np.allclose(circuit(a, b, c) |
test_gradient_for_tensor_product(self) |
ansatz(weights) |
weights.reshape(depth, n_qubits) |
qml.RX(weights[0][0], wires=[0]) |
qml.RZ(weights[0][1], wires=[0]) |
qml.RX(weights[1][0], wires=[0]) |
qml.RZ(weights[1][1], wires=[0]) |
qml.expval(qml.PauliZ(0) |
qml.PauliZ(1) |
np.random.random((depth, n_qubits) |
flatten() |
qml.QNode(ansatz, dev_qsk, diff_method="parameter-shift") |
qml.grad(exp_sampled, argnum=0) |
exp_sampled(weights) |
grad_shift(weights) |
pytest.mark.parametrize("d", pldevices) |
test_compile_backend(self, d) |
qml.device(d[0], wires=2, compile_backend="test value") |
test_noise_model(self) |
qml.device("qiskit.aer", wires=2, noise_model="test value") |
test_invalid_noise_model(self) |
pytest.raises(ValueError, match="does not support noisy simulations") |
qml.device("qiskit.basicaer", wires=2, noise_model="test value") |
test_overflow_kwargs(self) |
qml.device('qiskit.aer', wires=2, k1="v1", k2="v2") |
test_load_qiskit_circuit(self) |
qiskit.circuit.Parameter('θ') |
qiskit.QuantumCircuit(2) |
qc.rx(theta, 0) |
qml.load(qc, format='qiskit') |
qml.device('default.qubit', wires=2) |
np.array([0.53896774, 0.79503606, 0.27826503, 0.]) |
qml.qnode(dev) |
loaded_quantum_circuit(angle) |
my_template({theta: angle}) |
qml.expval(qml.PauliZ(0) |
qml.qnode(dev) |
quantum_circuit(angle) |
qml.RX(angle, wires=[0]) |
qml.expval(qml.PauliZ(0) |
np.allclose(loaded_quantum_circuit(x) |
quantum_circuit(x) |
test_load_from_qasm_string(self) |
qml.device('default.qubit', wires=2) |
qml.qnode(dev) |
loaded_quantum_circuit() |
qml.from_qasm(TestLoadIntegration.hadamard_qasm) |
qml.expval(qml.PauliZ(0) |
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