Abstract

From the general difficulty of simulating quantum systems using classical systems, and in particular the existence of an efficient quantum algorithm for factoring, it is likely that quantum computation is intrinsically more powerful than classical computation. At present, the best upper bound known for the power of quantum computation is that , where is a classical complexity class (known to be included in , hence ). This work investigates limits on computational power that are imposed by simple physical, or information theoretic, principles. To this end, we define a circuit-based model of computation in a class of operationally-defined theories more general than quantum theory, and ask: what is the minimal set of physical assumptions under which the above inclusions still hold? We show that given only an assumption of tomographic locality (roughly, that multipartite states and transformations can be characterized by local measurements), efficient computations are contained in . This inclusion still holds even without assuming a basic notion of causality (where the notion is, roughly, that probabilities for outcomes cannot depend on future measurement choices). Following Aaronson, we extend the computational model by allowing post-selection on measurement outcomes. Aaronson showed that the corresponding quantum complexity class, , is equal to . Given only the assumption of tomographic locality, the inclusion in still holds for post-selected computation in general theories. Hence in a world with post-selection, quantum theory is optimal for computation in the space of all operational theories. We then consider whether one can obtain relativized complexity results for general theories. It is not obvious how to define a sensible notion of a computational oracle in the general framework that reduces to the standard notion in the quantum case. Nevertheless, it is possible to define computation relative to a ‘classical oracle’. Then, we show there exists a classical oracle relative to which efficient computation in any theory satisfying the causality assumption does not include .

Highlights

  • Quantum theory offers dramatic new advantages for various information theoretic tasks [1]

  • Quantum theory, and ask: what is the minimal set of physical assumptions under which the above inclusions still hold? We show that given only an assumption of tomographic locality, efficient computations are contained in AWPP

  • In a world with post-selection, quantum theory is optimal for computation in the space of all operational theories

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Summary

Introduction

Quantum theory offers dramatic new advantages for various information theoretic tasks [1]. This raises the general question of what broad relationships exist between physical principles, which a theory like quantum theory may or may not satisfy, and information theoretic advantages. Much progress has already been made in understanding the connections between physical principles and some tasks, such as cryptography and communication complexity problems. It is known that the degree of non-locality in a theory is related to its ability to solve communication complexity problems [2] and to its ability to perform super-dense coding, teleportation and entanglement swapping [3]. Cryptographic protocols have been developed whose security relies not on aspects of the quantum formalism, but on general physical principles. Device-independent key distribution schemes have been developed that are secure against attacks by post-quantum eavesdroppers limited only by the nosignalling principle [6]

C M Lee and J Barrett
The framework
Probabilistic structure
Computation in generalised probabilistic theories
Post-selection and generalised probbilisitic theories
Oracles
Discussion and conclusion
Full Text
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