Abstract
We introduce a computational formalism that is deployable within an arbitrary logical system. This formalism is intended to capture computation on an arbitrary system, both physical and unphysical, including quantum computers, Blum-Shub-Smale machines, and infinite time Turing machines. We demonstrate that for finite problems, the computational power of any device describable via a finite first-order theory is equivalent to that of a Turing machine. Whereas for infinite problems, their computational power is equivalent to that of a type-2 machine.
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Notes
- 1.
N.B. despite the similar name, theory machines are not related to the concept of a “logic theory machine” found in [19].
- 2.
This is the only second-order sentence in the theory of \(\mathcal {N}\), and as we shall see in Example 4.2, it is unnecessary for describing a Turing machine computation.
- 3.
Unlike BSS machines, if such a device requires only finite precision to be implemented correctly then the second order least upper bound axiom in RA is not required.
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Whyman, R. (2018). Physical Computation and First-Order Logic. In: Durand-Lose, J., Verlan, S. (eds) Machines, Computations, and Universality. MCU 2018. Lecture Notes in Computer Science(), vol 10881. Springer, Cham. https://doi.org/10.1007/978-3-319-92402-1_9
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