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Constructor theory of probability

Abstract:
Unitary quantum theory, having no Born Rule, is non-probabilistic. Hence the notorious problem of reconciling it with the unpredictability and appearance of stochasticity in quantum measurements. Generalising and improving upon the so-called ‘decision-theoretic approach’, I shall recast that problem in the recently proposed constructor theory of information – where quantum theory is represented as one of a class of superinformation theories, which are local, non-probabilistic theories conforming to certain constructor-theoretic conditions. I prove that the unpredictability of measurement outcomes (to which constructor theory gives an exact meaning), necessarily arises in superinformation theories. Then I explain how the appearance of stochasticity in (finitely many) repeated measurements can arise under superinformation theories. And I establish sufficient conditions for a superinformation theory to inform decisions (made under it) as if it were probabilistic, via a Deutsch–Wallace-type argument – thus defining a class of decision-supporting superinformation theories. This broadens the domain of applicability of that argument to cover constructor-theory compliant theories. In addition, in this version some of the argument’s assumptions, previously construed as merely decision-theoretic, follow from physical properties expressed by constructor-theoretic principles.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1098/rspa.2015.0883

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Materials
Role:
Author



Publisher:
Royal Society
Journal:
Proceedings of the Royal Society of London. Series A, Mathematical and physical sciences More from this journal
Volume:
472
Issue:
2192
Article number:
20150883
Publication date:
2016-01-01
Acceptance date:
2016-07-15
DOI:
EISSN:
1471-2946
ISSN:
1364-5021


Keywords:
Pubs id:
pubs:636707
UUID:
uuid:46e5f090-8411-49e2-bb27-2e62c64683fd
Local pid:
pubs:636707
Source identifiers:
636707
Deposit date:
2016-08-04

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