Title :
Bounds on Entanglement-Assisted Source-Channel Coding via the Lovász
Number and Its Variants
Author :
Cubitt, Toby ; Mancinska, Laura ; Roberson, David E. ; Severini, Simone ; Stahlke, Dan ; Winter, Andreas
Author_Institution :
Dept. de Analisis Matematico, Univ. Complutense de Madrid, Madrid, Spain
Abstract :
We study zero-error entanglement-assisted source-channel coding (communication in the presence of side information). Adapting a technique of Beigi, we show that such coding requires existence of a set of vectors satisfying orthogonality conditions related to suitably defined graphs G and H. Such vectors exist if and only if ϑ(G̅) ≤ ϑ(H̅), where ϑ represents the Lovász number. We also obtain similar inequalities for the related Schrijver ϑ- and Szegedy ϑ+ numbers. These inequalities reproduce several known bounds and also lead to new results. We provide a lower bound on the entanglement-assisted cost rate. We show that the entanglement-assisted independence number is bounded by the Schrijver number: α*(G) ≤ ϑ-(G). Therefore, we are able to disprove the conjecture that the one-shot entanglement-assisted zero-error capacity is equal to the integer part of the Lovász number. Beigi introduced a quantity β as an upper bound on α* and posed the question of whether β(G) = ⌊ϑ(G)⌋. We answer this in the affirmative and show that a related quantity is equal to ⌊ϑ(G)⌋. We show that a quantity χvect(G) recently introduced in the context of Tsirelson´s problem is equal to ⌊ϑ+(G)⌋. In an appendix, we investigate multiplicativity properties of Schrijver´s and Szegedy´s numbers, as well as projective rank.
Keywords :
combined source-channel coding; Lovasz number; Schrijver number; Szegedy number; Tsirelson problem; entanglement-assisted cost rate; entanglement-assisted independence number; multiplicativity properties; one-shot entanglement-assisted zero-error capacity; orthogonality condition; zero-error entanglement-assisted source-channel coding; Channel coding; Educational institutions; Electronic mail; Noise measurement; Quantum entanglement; Vectors; Graph theory; linear programming; quantum entanglement; quantum information; zero-error information theory;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2014.2349502