Locally Tomographic Shadows (Extended Abstract)
Quantum Physics
2023-09-01 v1 Category Theory
Abstract
Given a monoidal probabilistic theory -- a symmetric monoidal category of systems and processes, together with a functor assigning concrete probabilistic models to objects of -- we construct a locally tomographic probabilistic theory LT -- the locally tomographic shadow of -- describing phenomena observable by local agents controlling systems in , and able to pool information about joint measurements made on those systems. Some globally distinct states become locally indistinguishable in LT, and we restrict the set of processes to those that respect this indistinguishability. This construction is investigated in some detail for real quantum theory.
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