示例#1
0
def test_eval_trace():
    # This test includes tests with dependencies between TensorProducts
    #and density operators. Since, the test is more to test the behavior of
    #TensorProducts it remains here

    A, B, C, D, E, F = symbols('A B C D E F', commutative=False)

    # Density with simple tensor products as args
    t = TensorProduct(A, B)
    d = Density([t, 1.0])
    tr = Tr(d)
    assert tr.doit() == 1.0 * Tr(A * Dagger(A)) * Tr(B * Dagger(B))

    ## partial trace with simple tensor products as args
    t = TensorProduct(A, B, C)
    d = Density([t, 1.0])
    tr = Tr(d, [1])
    assert tr.doit() == 1.0 * A * Dagger(A) * Tr(B * Dagger(B)) * C * Dagger(C)

    tr = Tr(d, [0, 2])
    assert tr.doit() == 1.0 * Tr(A * Dagger(A)) * B * Dagger(B) * Tr(
        C * Dagger(C))

    # Density with multiple Tensorproducts as states
    t2 = TensorProduct(A, B)
    t3 = TensorProduct(C, D)

    d = Density([t2, 0.5], [t3, 0.5])
    t = Tr(d)
    assert t.doit() == (0.5 * Tr(A * Dagger(A)) * Tr(B * Dagger(B)) +
                        0.5 * Tr(C * Dagger(C)) * Tr(D * Dagger(D)))

    t = Tr(d, [0])
    assert t.doit() == (0.5 * Tr(A * Dagger(A)) * B * Dagger(B) +
                        0.5 * Tr(C * Dagger(C)) * D * Dagger(D))

    #Density with mixed states
    d = Density([t2 + t3, 1.0])
    t = Tr(d)
    assert t.doit() == (1.0 * Tr(A * Dagger(A)) * Tr(B * Dagger(B)) +
                        1.0 * Tr(A * Dagger(C)) * Tr(B * Dagger(D)) +
                        1.0 * Tr(C * Dagger(A)) * Tr(D * Dagger(B)) +
                        1.0 * Tr(C * Dagger(C)) * Tr(D * Dagger(D)))

    t = Tr(d, [1])
    assert t.doit() == (1.0 * A * Dagger(A) * Tr(B * Dagger(B)) +
                        1.0 * A * Dagger(C) * Tr(B * Dagger(D)) +
                        1.0 * C * Dagger(A) * Tr(D * Dagger(B)) +
                        1.0 * C * Dagger(C) * Tr(D * Dagger(D)))
示例#2
0
def test_eval_trace():
    up = JzKet(S.Half, S.Half)
    down = JzKet(S.Half, Rational(-1, 2))
    d = Density((up, 0.5), (down, 0.5))

    t = Tr(d)
    assert t.doit() == 1

    #test dummy time dependent states
    class TestTimeDepKet(TimeDepKet):
        def _eval_trace(self, bra, **options):
            return 1

    x, t = symbols('x t')
    k1 = TestTimeDepKet(0, 0.5)
    k2 = TestTimeDepKet(0, 1)
    d = Density([k1, 0.5], [k2, 0.5])
    assert d.doit() == (0.5 * OuterProduct(k1, k1.dual) +
                        0.5 * OuterProduct(k2, k2.dual))

    t = Tr(d)
    assert t.doit() == 1