def test_tensordot_reorders_matrices():
t = np.eye(4).reshape((2, 2, 2, 2))
m = np.array([1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0]).reshape((2, 2, 2, 2))
np.testing.assert_allclose(targeted_tensordot(gate=m, wf=t, wf_target_inds=[0, 1]), m, atol=1e-8)
np.testing.assert_allclose(
targeted_tensordot(gate=m, wf=t, wf_target_inds=[1, 0]),
np.array([1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0]).reshape((2, 2, 2, 2)),
atol=1e-8,
)
def test_wfn_ordering_tensordot():
h_mat = GATES["H"]
two_q_wfn = np.zeros((2, 2), dtype=np.complex128)
two_q_wfn[0, 0] = 1 + 0.0j
two_q_wfn = targeted_tensordot(gate=h_mat,
wf=two_q_wfn,
wf_target_inds=[0])
np.testing.assert_allclose(two_q_wfn[:, 0], 1 / np.sqrt(2) * np.ones(2))
def test_H_tensordot():
h_mat = GATES["H"]
one_q_wfn = np.zeros((2, ), dtype=np.complex128)
one_q_wfn[0] = 1 + 0.0j
one_q_wfn = targeted_tensordot(gate=h_mat,
wf=one_q_wfn,
wf_target_inds=[0])
np.testing.assert_allclose(one_q_wfn, 1 / np.sqrt(2) * np.ones(2))
def test_tensordot_matches_kron_then_dot():
t = np.array([1, 2, 3, 4, 5, 6, 7, 8])
m = np.array([[2, 3], [5, 7]])
i = np.eye(2)
np.testing.assert_allclose(
targeted_tensordot(m, t.reshape((2, 2, 2)), [0]),
np.dot(kron(m, i, i), t).reshape((2, 2, 2)),
atol=1e-8,
)
np.testing.assert_allclose(
targeted_tensordot(m, t.reshape((2, 2, 2)), [1]),
np.dot(kron(i, m, i), t).reshape((2, 2, 2)),
atol=1e-8,
)
np.testing.assert_allclose(
targeted_tensordot(m, t.reshape((2, 2, 2)), [2]),
np.dot(kron(i, i, m), t).reshape((2, 2, 2)),
atol=1e-8,
)
