The signaling dimension of two-dimensional and polytopic systems
Shuriku Kai, Michele Dall'Arno

TL;DR
This paper establishes the signaling dimension for two-dimensional systems based on symmetry properties, introduces an efficient algorithm for computing signaling dimensions, and applies it to various polytope systems.
Contribution
It proves the signaling dimension for two-dimensional systems based on symmetry and develops a new polynomial-time algorithm for computing signaling dimensions of polytopic systems.
Findings
Signaling dimension of 2D systems is 2 if symmetric, 3 otherwise.
New algorithm outperforms previous methods in computing signaling dimensions.
Exact signaling dimensions computed for Platonic, Archimedean, Catalan solids, and hyper-octahedral systems.
Abstract
The signaling dimension of any given physical system represents its classical simulation cost, that is, the minimum dimension of a classical system capable of reproducing all the input/output correlations of the given system. The signaling dimension landscape is vastly unexplored; the only non-trivial systems whose signaling dimension is known -- other than quantum systems -- are the octahedron and the composition of two squares. Building on previous results by Matsumoto, Kimura, and Frenkel, our first result consists of deriving bounds on the signaling dimension of any system as a function of its Minkowski measure of asymmetry. We use such bounds to prove that the signaling dimension of any two-dimensional system (i.e. with two-dimensional set of admissible states, such as polygons and the real qubit) is two if and only if such a set is centrally symmetric, and three otherwise, thus…
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Taxonomy
TopicsFractal and DNA sequence analysis · Fusion and Plasma Physics Studies · Gene Regulatory Network Analysis
