The Information Content of Systems in General Physical Theories
Ciar\'an M. Lee (University of Oxford), Matty J. Hoban (University of, Oxford)

TL;DR
This paper explores the nature of information in general physical theories, revealing that non-quantum theories can vastly outperform quantum theory in computational and communication tasks, highlighting the broad landscape of physical information content.
Contribution
It reviews and discusses how states in general physical theories can serve as powerful advice for computation, extending previous results beyond quantum theory.
Findings
States in general theories can trivialize communication complexity tasks.
Advice from states in these theories enables solving any decision problem.
The work highlights a broad connection between physical theories and computational power.
Abstract
What kind of object is a quantum state? Is it an object that encodes an exponentially growing amount of information (in the size of the system) or more akin to a probability distribution? It turns out that these questions are sensitive to what we do with the information. For example, Holevo's bound tells us that n qubits only encode n bits of classical information but for certain communication complexity tasks there is an exponential separation between quantum and classical resources. Instead of just contrasting quantum and classical physics, we can place both within a broad landscape of physical theories and ask how non-quantum (and non-classical) theories are different from, or more powerful than quantum theory. For example, in communication complexity, certain (non-quantum) theories can trivialise all communication complexity tasks. In recent work [C. M. Lee and M. J. Hoban, Proc.…
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.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Mechanics and Applications · Quantum Information and Cryptography
