def test_acts_like_kron_multiplies_sizes():
assert np.allclose(cirq.kron_with_controls(), np.eye(1))
assert np.allclose(cirq.kron_with_controls(np.eye(2), np.eye(3), np.eye(4)), np.eye(24))
u = np.array([[2, 3], [5, 7]])
assert np.allclose(
cirq.kron_with_controls(u, u),
np.array([[4, 6, 6, 9], [10, 14, 15, 21], [10, 15, 14, 21], [25, 35, 35, 49]]),
)
def test_supports_controls():
u = np.array([[2, 3], [5, 7]])
assert np.allclose(cirq.kron_with_controls(cirq.CONTROL_TAG),
np.array([[1, 0], [0, 1]]))
assert np.allclose(
cirq.kron_with_controls(cirq.CONTROL_TAG, u),
np.array([[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 2, 3], [0, 0, 5, 7]]))
assert np.allclose(
cirq.kron_with_controls(u, cirq.CONTROL_TAG),
np.array([[1, 0, 0, 0], [0, 2, 0, 3], [0, 0, 1, 0], [0, 5, 0, 7]]))
def test_kron_factor_fail():
with pytest.raises(ValueError):
_ = cirq.kron_factor_4x4_to_2x2s(
cirq.kron_with_controls(cirq.CONTROL_TAG, X))
with pytest.raises(ValueError):
_ = cirq.kron_factor_4x4_to_2x2s(np.diag([1, 1, 1, 1j]))
def test_kron_factor_fail():
mat = cirq.kron_with_controls(cirq.CONTROL_TAG, X)
g, f1, f2 = cirq.kron_factor_4x4_to_2x2s(mat)
with pytest.raises(ValueError):
assert_kronecker_factorization_not_within_tolerance(mat, g, f1, f2)
mat = cirq.kron_factor_4x4_to_2x2s(np.diag([1, 1, 1, 1j]))
with pytest.raises(ValueError):
assert_kronecker_factorization_not_within_tolerance(mat, g, f1, f2)
def test_controlled_op_to_operations_equivalent_on_known_and_random(mat):
qc = cirq.NamedQubit('c')
qt = cirq.NamedQubit('qt')
operations = cirq.controlled_op_to_operations(
control=qc, target=qt, operation=mat)
actual_effect = _operations_to_matrix(operations, (qc, qt))
intended_effect = cirq.kron_with_controls(cirq.CONTROL_TAG, mat)
assert cirq.allclose_up_to_global_phase(actual_effect, intended_effect)
def test_controlled_op_to_gates_equivalent_on_known_and_random(mat):
qc = cirq.QubitId()
qt = cirq.QubitId()
operations = decompositions.controlled_op_to_native_gates(
control=qc, target=qt, operation=mat)
actual_effect = _operations_to_matrix(operations, (qc, qt))
intended_effect = cirq.kron_with_controls(cirq.CONTROL_TAG, mat)
assert cirq.allclose_up_to_global_phase(actual_effect, intended_effect)
def test_controlled_op_to_gates_equivalent_on_known_and_random(mat):
qc = cirq.QubitId()
qt = cirq.QubitId()
operations = decompositions.controlled_op_to_native_gates(control=qc,
target=qt,
operation=mat)
actual_effect = _operations_to_matrix(operations, (qc, qt))
intended_effect = cirq.kron_with_controls(cirq.CONTROL_TAG, mat)
assert cirq.allclose_up_to_global_phase(actual_effect, intended_effect)
