English

Locally Tomographic Shadows (Extended Abstract)

Quantum Physics 2023-09-01 v1 Category Theory

Abstract

Given a monoidal probabilistic theory -- a symmetric monoidal category C\mathcal{C} of systems and processes, together with a functor V\mathbf{V} assigning concrete probabilistic models to objects of C\mathcal{C} -- we construct a locally tomographic probabilistic theory LT(C,V)(\mathcal{C},\mathbf{V}) -- the locally tomographic shadow of (C,V)(\mathcal{C},\mathbf{V}) -- describing phenomena observable by local agents controlling systems in C\mathcal{C}, and able to pool information about joint measurements made on those systems. Some globally distinct states become locally indistinguishable in LT(C,V)(\mathcal{C},\mathbf{V}), and we restrict the set of processes to those that respect this indistinguishability. This construction is investigated in some detail for real quantum theory.

Keywords

Cite

@article{arxiv.2308.16494,
  title  = {Locally Tomographic Shadows (Extended Abstract)},
  author = {Howard Barnum and Matthew A. Graydon and Alex Wilce},
  journal= {arXiv preprint arXiv:2308.16494},
  year   = {2023}
}

Comments

In Proceedings QPL 2023, arXiv:2308.15489

R2 v1 2026-06-28T12:09:02.941Z