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Quantitative foundations for resource theories

Abstract:
Considering resource usage is a powerful insight in the analysis of many phenomena in the sciences. Much of the current research on these resource theories focuses on the analysis of specific resources such quantum entanglement, purity, randomness or asymmetry. However, the mathematical foundations of resource theories are at a much earlier stage, and there has been no satisfactory account of quantitative aspects such as costs, rates or probabilities. We present a categorical foundation for quantitative resource theories, derived from enriched category theory. Our approach is compositional, with rich algebraic structure facilitating calculations. The resulting theory is parameterized, both in the quantities under consideration, for example costs or probabilities, and in the structural features of the resources such as whether they can be freely copied or deleted. We also achieve a clear separation of concerns between the resource conversions that are freely available, and the costly resources that are typically the object of study. By using an abstract categorical approach, our framework is naturally open to extension. We provide many examples throughout, emphasising the resource theoretic intuitions for each of the mathematical objects under consideration.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.4230/LIPIcs.CSL.2018.32

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
Nuffield College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author


Publisher:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Host title:
27th EACSL Annual Conference on Computer Science Logic (CSL 2018), Birmingham, United Kingdom 4–7 September
Journal:
Computer Science Logic More from this journal
Volume:
119
Article number:
32
Publication date:
2018-09-21
Acceptance date:
2018-06-14
DOI:
EISSN:
1868-8969
ISBN:
9783959770880


Keywords:
Pubs id:
pubs:909467
UUID:
uuid:ed499d6f-a295-4bbb-8171-553d39b525c6
Local pid:
pubs:909467
Source identifiers:
909467
Deposit date:
2018-08-22

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