
TL;DR
This paper recasts the problem of quantum probability within constructor theory, showing how stochasticity and decision-making can emerge in non-probabilistic superinformation theories.
Contribution
It generalizes the decision-theoretic approach to quantum probability using constructor theory, establishing conditions under which superinformation theories can support probabilistic decision-making.
Findings
Unpredictability of measurement outcomes arises in superinformation theories.
Stochasticity in repeated measurements can emerge under certain conditions.
Superinformation theories can support decision-making as if probabilistic, via a generalized Deutsch-Wallace argument.
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' (Deutsch, 1999; Wallace, 2003, 2007, 2012), 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 I give an exact meaning via constructor theory), 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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
