Intelligence Semantics

Logic and Algebraic Structures in Quantum Computing by Jennifer Chubb, Ali Eskandarian, Valentina Harizanov

By Jennifer Chubb, Ali Eskandarian, Valentina Harizanov

Bobbing up from a different consultation held on the 2010 North American Annual assembly of the organization for Symbolic good judgment, this quantity is a world cross-disciplinary collaboration with contributions from prime specialists exploring connections throughout their respective fields. topics variety from philosophical exam of the rules of physics and quantum good judgment, to exploitations of the equipment and constructions of operator idea, class concept, and knot thought that allows you to achieve perception into the elemental questions in quantum conception and good judgment. The ebook will entice researchers and scholars operating in comparable fields, together with logicians, mathematicians, laptop scientists, and physicists. a short advent presents crucial heritage on quantum mechanics and classification conception, which, including a thematic number of articles, can also function the fundamental fabric for a graduate path or seminar.

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Harizanov Lecture Notes in Logic, 45 c 2016, Association for Symbolic Logic 42 THE ESSENCE OF QUANTUM THEORY FOR COMPUTERS 43 then applied to quantum computing, focusing on what the theory says, and particularly does not say, in areas where conceptual difficulties have arisen. §2. Physical theory and reality. A physical theory is a logical model capable of making predictions of what we observe. e. 4 We should not, however, become too enamored with the auxiliary structures within a successful theory.

And every single anomaly vanishes once we give these up. (p. 184) Putnam’s argument for adopting quantum logic is that if we do, the interpretive puzzles of the theory dissolve. If we insist on classical logic, we have to say such supposedly objectionable things as that measurements create the values of the quantities measured or that there is a “cut between the observer and the observed” or that there are undetectable hidden variables. But Putnam says . . I think it is more likely that classical logic is wrong than that there are either hidden variables or “cuts between the observer and the system”, etc.

In general, the adjoint of a diagram is its mirror image. The category of sets with binary relations as morphisms is a dagger category with relational inverse R† as adjoint of R. The category of Hilbert spaces with bounded linear maps is a dagger category with the usual adjoints. A morphism f is called Hermitian if it is self-adjoint: f † = f. A morphism f is called unitary if it is an isomorphism and f −1 = f † . A dagger functor Φ between two dagger categories C and D is a functor that satisfies the following additional 22 JENNIFER CHUBB AND VALENTINA HARIZANOV equality for every morphism f in C: Φ(f † ) = (Φ(f))† .

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