def _random_single_partial_cz_effect():
return cirq.dot(
cirq.kron(cirq.testing.random_unitary(2),
cirq.testing.random_unitary(2)),
np.diag([1, 1, 1, cmath.exp(2j * random.random() * np.pi)]),
cirq.kron(cirq.testing.random_unitary(2),
cirq.testing.random_unitary(2)))
def _random_double_full_cz_effect():
return cirq.dot(
cirq.kron(cirq.testing.random_unitary(2),
cirq.testing.random_unitary(2)),
cirq.CZ.matrix(),
cirq.kron(cirq.testing.random_unitary(2),
cirq.testing.random_unitary(2)),
cirq.CZ.matrix(),
cirq.kron(cirq.testing.random_unitary(2),
cirq.testing.random_unitary(2)))
def test_single_qubit_matrix_to_native_gates_fuzz_half_turns_always_one_gate(
pre_turns, post_turns):
intended_effect = cirq.dot(
cirq.RotZGate(half_turns=2 * pre_turns).matrix(), cirq.X.matrix(),
cirq.RotZGate(half_turns=2 * post_turns).matrix())
gates = decompositions.single_qubit_matrix_to_native_gates(
intended_effect, tolerance=0.0001)
assert len(gates) == 1
assert_gates_implement_unitary(gates, intended_effect)
def test_single_qubit_matrix_to_native_gates_fuzz_half_turns_always_one_gate(
pre_turns, post_turns):
intended_effect = cirq.dot(cirq.unitary(cirq.Z**(2 * pre_turns)),
cirq.unitary(cirq.X),
cirq.unitary(cirq.Z**(2 * post_turns)))
gates = cirq.single_qubit_matrix_to_phased_x_z(intended_effect,
atol=0.0001)
assert len(gates) == 1
assert_gates_implement_unitary(gates, intended_effect, atol=1e-8)
def _random_single_MS_effect():
t = random.random()
s = np.sin(t)
c = np.cos(t)
return cirq.dot(
cirq.kron(cirq.testing.random_unitary(2),
cirq.testing.random_unitary(2)),
np.array([[c, 0, 0, -1j * s], [0, c, -1j * s, 0], [0, -1j * s, c, 0],
[-1j * s, 0, 0, c]]),
cirq.kron(cirq.testing.random_unitary(2),
cirq.testing.random_unitary(2)))
def _random_double_full_cz_effect():
return cirq.dot(
cirq.kron(cirq.testing.random_unitary(2),
cirq.testing.random_unitary(2)),
cirq.unitary(cirq.CZ),
cirq.kron(cirq.testing.random_unitary(2),
cirq.testing.random_unitary(2)),
cirq.unitary(cirq.CZ),
cirq.kron(cirq.testing.random_unitary(2),
cirq.testing.random_unitary(2)),
)
def _random_double_partial_cz_effect():
return cirq.dot(
cirq.kron(cirq.testing.random_unitary(2),
cirq.testing.random_unitary(2)),
np.diag([1, 1, 1, cmath.exp(2j * random.random() * np.pi)]),
cirq.kron(cirq.testing.random_unitary(2),
cirq.testing.random_unitary(2)),
np.diag([1, 1, 1, cmath.exp(2j * random.random() * np.pi)]),
cirq.kron(cirq.testing.random_unitary(2),
cirq.testing.random_unitary(2)),
)
def recompose_so4(a: np.ndarray, b: np.ndarray) -> np.ndarray:
assert a.shape == (2, 2)
assert b.shape == (2, 2)
assert cirq.is_special_unitary(a)
assert cirq.is_special_unitary(b)
magic = np.array([[1, 0, 0, 1j], [0, 1j, 1, 0], [0, 1j, -1, 0],
[1, 0, 0, -1j]]) * np.sqrt(0.5)
result = np.real(cirq.dot(np.conj(magic.T), cirq.kron(a, b), magic))
assert cirq.is_orthogonal(result)
return result
def test_single_qubit_matrix_to_gates_fuzz_half_turns_merge_z_gates(
pre_turns, post_turns):
intended_effect = cirq.dot(
cirq.RotZGate(half_turns=2 * pre_turns).matrix(), cirq.X.matrix(),
cirq.RotZGate(half_turns=2 * post_turns).matrix())
gates = cirq.single_qubit_matrix_to_gates(intended_effect,
tolerance=0.0001)
assert len(gates) <= 2
assert_gates_implement_unitary(gates, intended_effect)
def test_single_qubit_matrix_to_gates_fuzz_half_turns_merge_z_gates(
pre_turns, post_turns):
intended_effect = cirq.dot(
cirq.unitary(cirq.Z**(2 * pre_turns)),
cirq.unitary(cirq.X),
cirq.unitary(cirq.Z**(2 * post_turns)))
gates = cirq.single_qubit_matrix_to_gates(
intended_effect, tolerance=1e-7)
assert len(gates) <= 2
assert_gates_implement_unitary(gates, intended_effect, atol=1e-6)
def test_single_qubit_matrix_to_native_gates_fuzz_half_turns_always_one_gate(
pre_turns, post_turns):
intended_effect = cirq.dot(
cirq.RotZGate(half_turns=2 * pre_turns).matrix(),
cirq.X.matrix(),
cirq.RotZGate(half_turns=2 * post_turns).matrix())
gates = decompositions.single_qubit_matrix_to_native_gates(
intended_effect, tolerance=0.0001)
assert len(gates) == 1
assert_gates_implement_unitary(gates, intended_effect)
def test_single_qubit_matrix_to_gates_fuzz_half_turns_merge_z_gates(
pre_turns, post_turns):
intended_effect = cirq.dot(
cirq.RotZGate(half_turns=2 * pre_turns).matrix(),
cirq.X.matrix(),
cirq.RotZGate(half_turns=2 * post_turns).matrix())
gates = cirq.single_qubit_matrix_to_gates(
intended_effect, tolerance=0.0001)
assert len(gates) <= 2
assert_gates_implement_unitary(gates, intended_effect)
def test_dot():
assert cirq.dot(2) == 2
assert cirq.dot(2.5, 2.5) == 6.25
a = np.array([[1, 2], [3, 4]])
b = np.array([[5, 6], [7, 8]])
assert cirq.dot(a) is not a
np.testing.assert_allclose(cirq.dot(a), a, atol=1e-8)
np.testing.assert_allclose(cirq.dot(a, b), np.dot(a, b), atol=1e-8)
np.testing.assert_allclose(cirq.dot(a, b, a), np.dot(np.dot(a, b), a), atol=1e-8)
# Invalid use
with pytest.raises(ValueError):
cirq.dot()
def test_single_qubit_matrix_to_phxz_fuzz_half_turns_always_one_gate(
pre_turns, post_turns):
atol = 1e-6
aggr_atol = atol * 10.0
intended_effect = cirq.dot(cirq.unitary(cirq.Z**(2 * pre_turns)),
cirq.unitary(cirq.X),
cirq.unitary(cirq.Z**(2 * post_turns)))
gate = cirq.single_qubit_matrix_to_phxz(intended_effect, atol=atol)
assert gate.z_exponent == 0
assert_gates_implement_unitary([gate], intended_effect, atol=aggr_atol)
def recompose_kak(g, a, v, b) -> np.ndarray:
a1, a0 = a
x, y, z = v
b1, b0 = b
xx = cirq.kron(X, X)
yy = cirq.kron(Y, Y)
zz = cirq.kron(Z, Z)
a = cirq.kron(a1, a0)
m = cirq.map_eigenvalues(xx * x + yy * y + zz * z,
lambda e: np.exp(1j * e))
b = cirq.kron(b1, b0)
return cirq.dot(a, m, b) * g
def recompose_so4(a: np.ndarray, b: np.ndarray) -> np.ndarray:
assert a.shape == (2, 2)
assert b.shape == (2, 2)
assert cirq.is_special_unitary(a)
assert cirq.is_special_unitary(b)
magic = np.array([[1, 0, 0, 1j],
[0, 1j, 1, 0],
[0, 1j, -1, 0],
[1, 0, 0, -1j]]) * np.sqrt(0.5)
result = np.real(cirq.dot(np.conj(magic.T),
cirq.kron(a, b),
magic))
assert cirq.is_orthogonal(result)
return result
def test_dot():
assert cirq.dot(2) == 2
assert cirq.dot(2.5, 2.5) == 6.25
a = np.array([[1, 2], [3, 4]])
b = np.array([[5, 6], [7, 8]])
assert cirq.dot(a) is not a
np.testing.assert_allclose(cirq.dot(a), a, atol=1e-8)
np.testing.assert_allclose(cirq.dot(a, b), np.dot(a, b), atol=1e-8)
np.testing.assert_allclose(cirq.dot(a, b, a),
np.dot(np.dot(a, b), a),
atol=1e-8)
def _random_double_MS_effect():
t1 = random.random()
s1 = np.sin(t1)
c1 = np.cos(t1)
t2 = random.random()
s2 = np.sin(t2)
c2 = np.cos(t2)
return cirq.dot(
cirq.kron(cirq.testing.random_unitary(2),
cirq.testing.random_unitary(2)),
np.array([[c1, 0, 0, -1j * s1], [0, c1, -1j * s1, 0],
[0, -1j * s1, c1, 0], [-1j * s1, 0, 0, c1]]),
cirq.kron(cirq.testing.random_unitary(2),
cirq.testing.random_unitary(2)),
np.array([[c2, 0, 0, -1j * s2], [0, c2, -1j * s2, 0],
[0, -1j * s2, c2, 0], [-1j * s2, 0, 0, c2]]),
cirq.kron(cirq.testing.random_unitary(2),
cirq.testing.random_unitary(2)))
def assert_gates_implement_unitary(gates: Sequence[cirq.SingleQubitGate],
intended_effect: np.ndarray, atol: float):
actual_effect = cirq.dot(*[cirq.unitary(g) for g in reversed(gates)])
cirq.testing.assert_allclose_up_to_global_phase(actual_effect,
intended_effect,
atol=atol)
def assert_gates_implement_unitary(gates: List[cirq.SingleQubitGate],
intended_effect: np.ndarray):
actual_effect = cirq.dot(*[cirq.unitary(g) for g in reversed(gates)])
assert cirq.allclose_up_to_global_phase(actual_effect, intended_effect)
