Computation in a general physical setting
Ciar\'an M. Gilligan-Lee

TL;DR
This paper explores the computational capabilities of various physical theories within the generalized probabilistic framework, comparing quantum theory to others and establishing bounds and conjectures about their computational power.
Contribution
It derives new bounds on computational abilities of theories with n-local tomography and generalised superpositions, and refines a conjecture on quantum simulation of other theories.
Findings
New bounds on computational power for theories with n-local tomography
Refined conjecture on quantum simulation of generalized probabilistic theories
Established links between computational conjectures and delegated computation
Abstract
The computational abilities of theories within the generalised probabilistic theory framework has been the subject of much recent study. Such investigations aim to gain an understanding of the possible connections between physical principles and computation. Moreover, comparing and contrasting the computational properties of quantum theory with other operationally-sensible theories could shed light on the strengths and limitations of quantum computation. This paper reviews and extends some of these results, deriving new bounds on the computational ability of theories satisfying n-local tomography, and theories in which states are represented as generalised superpositions. It moreover provides a refined version of the conjecture that a quantum computer can simulate the computation in any theory within a certain sub-class of generalised probabilistic theories with at most polynomial…
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