def test_partial_trace_return_type(self):
a = qu.qu([0, 2**-0.5, 2**-0.5, 0], 'ket')
b = qu.partial_trace(a, [2, 2], 1)
assert (type(b) == qu.qarray)
a = qu.qu([0, 2**-0.5, 2**-0.5, 0], 'dop')
b = qu.partial_trace(a, [2, 2], 1)
assert (type(b) == qu.qarray)
def test_partial_trace_return_type(self):
a = qu([0, 2**-0.5, 2**-0.5, 0], 'ket')
b = partial_trace(a, [2, 2], 1)
assert(type(b) == np.matrix)
a = qu([0, 2**-0.5, 2**-0.5, 0], 'dop')
b = partial_trace(a, [2, 2], 1)
assert(type(b) == np.matrix)
def test_partial_trace_early_return(self):
a = qu.qu([0.5, 0.5, 0.5, 0.5], 'ket')
b = qu.partial_trace(a, [2, 2], [0, 1])
assert_allclose(a @ a.H, b)
a = qu.qu([0.5, 0.5, 0.5, 0.5], 'dop')
b = qu.partial_trace(a, [2, 2], [0, 1])
assert_allclose(a, b)
def test_ptr_compare_to_manual(self):
a = qu.rand_rho(2**2)
b = qu.partial_trace(a, [2, 2], 0)
c = a.A.reshape([2, 2, 2, 2]).trace(axis1=1, axis2=3)
assert_allclose(b, c)
b = qu.partial_trace(a, [2, 2], 1)
c = a.A.reshape([2, 2, 2, 2]).trace(axis1=0, axis2=2)
assert_allclose(b, c)
def test_vec_dense(self):
a = rand_ket(4)
b = _trace_lose(a, [2, 2], 1)
c = partial_trace(a.A, [2, 2], 0)
assert_allclose(b, c)
b = _trace_lose(a, [2, 2], 0)
c = partial_trace(a.A, [2, 2], 1)
assert_allclose(b, c)
def test_vs_ptr(self):
a = rand_rho(6, sparse=True, density=0.5)
b = _trace_lose(a, [2, 3], 1)
c = partial_trace(a.A, [2, 3], 0)
assert_allclose(b, c)
b = _trace_lose(a, [2, 3], 0)
c = partial_trace(a.A, [2, 3], 1)
assert_allclose(b, c)
def test_partial_trace_single_ket(self):
dims = [2, 3, 4]
a = np.random.randn(qu.prod(dims), 1)
for i, dim in enumerate(dims):
b = qu.partial_trace(a, dims, i)
assert (b.shape[0] == dim)
def test_partial_trace_basic(self):
a = qu.rand_rho(2**2)
b = qu.partial_trace(a, [2, 2], 0)
assert isinstance(b, qu.qarray)
assert qu.isherm(b)
assert_allclose(qu.tr(b), 1.0)
def test_partial_trace_simple_ket(self):
a = rand_ket(12, sparse=True, density=0.5)
dims = [2, 3, 2]
b = partial_trace(a, dims, [0, 1])
c = partial_trace(a.A, dims, [0, 1])
assert_allclose(b, c)
def test_partial_trace_sparse_basic(self):
a = rand_rho(4)
b = partial_trace(a, [2, 2], 0)
assert type(b) == np.matrix
assert isherm(b)
assert_allclose(tr(b), 1.0)
def test_partial_trace_basic(self):
a = rand_rho(2**2)
b = partial_trace(a, [2, 2], 0)
assert isinstance(b, np.matrix)
assert isherm(b)
assert_allclose(tr(b), 1.0)
