def test_yxxy_matrix():
cirq.testing.assert_has_consistent_apply_unitary_for_various_exponents(
ofc.YXXY, exponents=[1, -0.5, 0.5, 0.25, -0.25, 0.1,
cirq.Symbol('s')])
np.testing.assert_allclose(cirq.unitary(ofc.YXXYPowGate(exponent=2)),
np.array([[1, 0, 0, 0], [0, -1, 0, 0],
[0, 0, -1, 0], [0, 0, 0, 1]]),
atol=1e-8)
np.testing.assert_allclose(cirq.unitary(ofc.YXXYPowGate(exponent=1)),
np.array([[1, 0, 0, 0], [0, 0, -1, 0],
[0, 1, 0, 0], [0, 0, 0, 1]]),
atol=1e-8)
np.testing.assert_allclose(cirq.unitary(ofc.YXXYPowGate(exponent=0)),
np.array([[1, 0, 0, 0], [0, 1, 0, 0],
[0, 0, 1, 0], [0, 0, 0, 1]]),
atol=1e-8)
np.testing.assert_allclose(cirq.unitary(ofc.YXXYPowGate(exponent=-1)),
np.array([[1, 0, 0, 0], [0, 0, 1, 0],
[0, -1, 0, 0], [0, 0, 0, 1]]),
atol=1e-8)
X = np.array([[0, 1], [1, 0]])
Y = np.array([[0, -1j], [1j, 0]])
YX = kron(Y, X)
XY = kron(X, Y)
np.testing.assert_allclose(cirq.unitary(ofc.YXXYPowGate(exponent=0.25)),
expm(-1j * np.pi * 0.25 * (YX - XY) / 4))
def test_yxxy_eq():
eq = cirq.testing.EqualsTester()
eq.add_equality_group(ofc.YXXYPowGate(exponent=3.5),
ofc.YXXYPowGate(exponent=-0.5))
eq.add_equality_group(ofc.YXXYPowGate(exponent=1.5),
ofc.YXXYPowGate(exponent=-2.5))
eq.make_equality_group(lambda: ofc.YXXYPowGate(exponent=0))
eq.make_equality_group(lambda: ofc.YXXYPowGate(exponent=0.5))
def test_yxxy_repr():
assert repr(ofc.YXXYPowGate(exponent=1)) == 'YXXY'
assert repr(ofc.YXXYPowGate(exponent=0.5)) == 'YXXY**0.5'
def test_yxxy_init():
assert ofc.YXXYPowGate(exponent=0.5).exponent == 0.5
assert ofc.YXXYPowGate(exponent=1.5).exponent == 1.5
assert ofc.YXXYPowGate(exponent=5).exponent == 5
def test_compare_yxxy_to_cirq_equivalent(exponent):
old_gate = ofc.YXXYPowGate(exponent=exponent)
new_gate = cirq.PhasedISwapPowGate(exponent=exponent)
np.testing.assert_allclose(cirq.unitary(old_gate), cirq.unitary(new_gate))
