Esempio n. 1
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    def test_ComplexSuperApply(self):
        """
        Superoperator: Efficient numerics and reference return same result,
        acting on non-composite system
        """
        rho_list = list(map(rand_dm, [2, 3, 2, 3, 2]))
        rho_input = tensor(rho_list)
        superop = kraus_to_super(rand_kraus_map(3))

        analytic_result = rho_list
        analytic_result[1] = Qobj(
            vec2mat(superop.data.todense() *
                    mat2vec(analytic_result[1].data.todense())))
        analytic_result[3] = Qobj(
            vec2mat(superop.data.todense() *
                    mat2vec(analytic_result[3].data.todense())))
        analytic_result = tensor(analytic_result)

        naive_result = subsystem_apply(rho_input,
                                       superop,
                                       [False, True, False, True, False],
                                       reference=True)
        naive_diff = (analytic_result - naive_result).data.todense()
        assert_(norm(naive_diff) < 1e-12)

        efficient_result = subsystem_apply(rho_input, superop,
                                           [False, True, False, True, False])
        efficient_diff = (efficient_result - analytic_result).data.todense()
        assert_(norm(efficient_diff) < 1e-12)
Esempio n. 2
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    def test_ComplexSuperApply(self):
        """
        Superoperator: Efficient numerics and reference return same result,
        acting on non-composite system
        """
        tol = 1e-10
        rho_list = list(map(rand_dm, [2, 3, 2, 3, 2]))
        rho_input = tensor(rho_list)
        superop = kraus_to_super(rand_kraus_map(3))

        analytic_result = rho_list
        analytic_result[1] = Qobj(
            vec2mat(superop.full() @ mat2vec(analytic_result[1].full())))
        analytic_result[3] = Qobj(
            vec2mat(superop.full() @ mat2vec(analytic_result[3].full())))
        analytic_result = tensor(analytic_result)

        naive_result = subsystem_apply(rho_input,
                                       superop,
                                       [False, True, False, True, False],
                                       reference=True)
        naive_diff = (analytic_result - naive_result).full()
        naive_diff_norm = norm(naive_diff)
        assert_(naive_diff_norm < tol,
                msg="ComplexSuper: naive_diff_norm {} "
                "is beyond tolerance {}".format(naive_diff_norm, tol))

        efficient_result = subsystem_apply(rho_input, superop,
                                           [False, True, False, True, False])
        efficient_diff = (efficient_result - analytic_result).full()
        efficient_diff_norm = norm(efficient_diff)
        assert_(efficient_diff_norm < tol,
                msg="ComplexSuper: efficient_diff_norm {} "
                "is beyond tolerance {}".format(efficient_diff_norm, tol))
Esempio n. 3
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    def test_ComplexSuperApply(self):
        """
        Superoperator: Efficient numerics and reference return same result,
        acting on non-composite system
        """
        rho_list = list(map(rand_dm, [2, 3, 2, 3, 2]))
        rho_input = tensor(rho_list)
        superop = kraus_to_super(rand_kraus_map(3))

        analytic_result = rho_list
        analytic_result[1] = Qobj(vec2mat(superop.data.todense() *
                                  mat2vec(analytic_result[1].data.todense())))
        analytic_result[3] = Qobj(vec2mat(superop.data.todense() *
                                  mat2vec(analytic_result[3].data.todense())))
        analytic_result = tensor(analytic_result)

        naive_result = subsystem_apply(rho_input, superop,
                                       [False, True, False, True, False],
                                       reference=True)
        naive_diff = (analytic_result - naive_result).data.todense()
        assert_(norm(naive_diff) < 1e-12)

        efficient_result = subsystem_apply(rho_input, superop,
                                           [False, True, False, True, False])
        efficient_diff = (efficient_result - analytic_result).data.todense()
        assert_(norm(efficient_diff) < 1e-12)
Esempio n. 4
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    def test_SimpleSuperApply(self):
        """
        Non-composite system, operator on Liouville space.
        """
        rho_3 = rand_dm(3)
        superop = kraus_to_super(rand_kraus_map(3))
        analytic_result = vec2mat(superop.data.todense() *
                                  mat2vec(rho_3.data.todense()))

        naive_result = subsystem_apply(rho_3, superop, [True], reference=True)
        naive_diff = (analytic_result - naive_result).data.todense()
        assert_(norm(naive_diff) < 1e-12)

        efficient_result = subsystem_apply(rho_3, superop, [True])
        efficient_diff = (efficient_result - analytic_result).data.todense()
        assert_(norm(efficient_diff) < 1e-12)
Esempio n. 5
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    def test_SimpleSuperApply(self):
        """
        Non-composite system, operator on Liouville space.
        """
        rho_3 = rand_dm(3)
        superop = kraus_to_super(rand_kraus_map(3))
        analytic_result = vec2mat(superop.data.todense() *
                                  mat2vec(rho_3.data.todense()))

        naive_result = subsystem_apply(rho_3, superop, [True],
                                       reference=True)
        naive_diff = (analytic_result - naive_result).data.todense()
        assert_(norm(naive_diff) < 1e-12)

        efficient_result = subsystem_apply(rho_3, superop, [True])
        efficient_diff = (efficient_result - analytic_result).data.todense()
        assert_(norm(efficient_diff) < 1e-12)
Esempio n. 6
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    def test_SimpleSuperApply(self):
        """
        Non-composite system, operator on Liouville space.
        """
        tol = 1e-12
        rho_3 = rand_dm(3)
        superop = kraus_to_super(rand_kraus_map(3))
        analytic_result = vec2mat(superop.full() @ mat2vec(rho_3.full()))
        naive_result = subsystem_apply(rho_3, superop, [True], reference=True)
        naive_diff = (analytic_result - naive_result).full()
        naive_diff_norm = norm(naive_diff)
        assert_(naive_diff_norm < tol,
                msg="SimpleSuper: naive_diff_norm {} "
                "is beyond tolerance {}".format(naive_diff_norm, tol))

        efficient_result = subsystem_apply(rho_3, superop, [True])
        efficient_diff = (efficient_result - analytic_result).full()
        efficient_diff_norm = norm(efficient_diff)
        assert_(efficient_diff_norm < tol,
                msg="SimpleSuper: efficient_diff_norm {} "
                "is beyond tolerance {}".format(efficient_diff_norm, tol))
Esempio n. 7
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    def test_SimpleSuperApply(self):
        """
        Non-composite system, operator on Liouville space.
        """
        tol = 1e-12
        rho_3 = rand_dm(3)
        superop = kraus_to_super(rand_kraus_map(3))
        analytic_result = vec2mat(superop.data.todense() * mat2vec(rho_3.data.todense()))

        naive_result = subsystem_apply(rho_3, superop, [True], reference=True)
        naive_diff = (analytic_result - naive_result).data.todense()
        naive_diff_norm = norm(naive_diff)
        assert_(
            naive_diff_norm < tol,
            msg="SimpleSuper: naive_diff_norm {} " "is beyond tolerance {}".format(naive_diff_norm, tol),
        )

        efficient_result = subsystem_apply(rho_3, superop, [True])
        efficient_diff = (efficient_result - analytic_result).data.todense()
        efficient_diff_norm = norm(efficient_diff)
        assert_(
            efficient_diff_norm < tol,
            msg="SimpleSuper: efficient_diff_norm {} " "is beyond tolerance {}".format(efficient_diff_norm, tol),
        )