def test_lifted_gate_modified():
test_unitary = lifted_gate(RZ(np.pi / 4, 0).dagger(), 1)
true_unitary = mat.RZ(-np.pi / 4)
assert np.allclose(test_unitary, true_unitary)
test_unitary = lifted_gate(X(0).dagger().controlled(1), 2)
true_unitary = lifted_gate(CNOT(1, 0), 2)
other_true = mat.CNOT
assert np.allclose(test_unitary, true_unitary)
assert np.allclose(other_true, true_unitary)
test_unitary = lifted_gate(
X(1).dagger().controlled(0).dagger().dagger(), 2)
true_unitary = lifted_gate(CNOT(0, 1), 2)
assert np.allclose(test_unitary, true_unitary)
test_unitary = lifted_gate(
X(0).dagger().controlled(1).dagger().dagger().controlled(2), 3)
true_unitary = lifted_gate(CCNOT(1, 2, 0), 3)
other_true = mat.CCNOT
assert np.allclose(test_unitary, true_unitary)
assert np.allclose(other_true, true_unitary)
test_unitary = lifted_gate(
RY(np.pi / 4, 0).dagger().controlled(2).dagger().dagger(), 3)
ry_part = lifted_gate(RY(-np.pi / 4, 0), 1)
zero = np.eye(2)
zero[1, 1] = 0
one = np.eye(2)
one[0, 0] = 0
true_unitary = np.kron(zero, np.eye(4)) + np.kron(
one, np.kron(np.eye(2), ry_part))
assert np.allclose(test_unitary, true_unitary)
def test_lifted_gate_two_qubit():
test_unitary = lifted_gate(CNOT(0, 1), 4)
true_unitary = lifted_gate_matrix(mat.CNOT, [0, 1], 4)
assert np.allclose(test_unitary, true_unitary)
test_unitary = lifted_gate(CNOT(1, 0), 4)
true_unitary = lifted_gate_matrix(mat.CNOT, [1, 0], 4)
assert np.allclose(test_unitary, true_unitary)
test_unitary = lifted_gate(CNOT(1, 3), 4)
true_unitary = lifted_gate_matrix(mat.CNOT, [1, 3], 4)
assert np.allclose(test_unitary, true_unitary)
def test_lifted_gate_single_qubit():
test_unitary = lifted_gate(H(0), 1)
true_unitary = mat.H
assert np.allclose(test_unitary, true_unitary)
test_unitary = lifted_gate(H(0), 5)
true_unitary = np.kron(np.eye(2**4), mat.H)
assert np.allclose(test_unitary, true_unitary)
test_unitary = lifted_gate(RX(0.2, 3), 5)
true_unitary = np.kron(np.eye(2**1), np.kron(mat.RX(0.2), np.eye(2**3)))
assert np.allclose(test_unitary, true_unitary)
test_unitary = lifted_gate(RX(0.5, 4), 5)
true_unitary = np.kron(np.eye(2**0), np.kron(mat.RX(0.5), np.eye(2**4)))
assert np.allclose(test_unitary, true_unitary)
def do_gate(self, gate: Gate):
"""
Perform a gate.
:return: ``self`` to support method chaining.
"""
unitary = lifted_gate(gate=gate, n_qubits=self.n_qubits)
self.wf = unitary.dot(self.wf)
return self
def do_gate(self, gate: Gate) -> 'AbstractQuantumSimulator':
"""
Perform a gate.
:return: ``self`` to support method chaining.
"""
unitary = lifted_gate(gate=gate, n_qubits=self.n_qubits)
self.density = unitary.dot(self.density).dot(np.conj(unitary).T)
return self
def test_lifted_gate_with_nonconstant_params():
gate = RX(Parameter("theta"), 0)
with pytest.raises(TypeError):
lifted_gate(gate, 1)
