Recognition: unknown
Entanglement in non-local games and the hyperlinear profile of groups
classification
🪐 quant-ph
math.GR
keywords
entanglementhyperlinearnon-localprofilevarepsilonamountapproachesgames
read the original abstract
We relate the amount of entanglement required to play linear-system non-local games near-optimally to the hyperlinear profile of finitely-presented groups. By calculating the hyperlinear profile of a certain group, we give an example of a finite non-local game for which the amount of entanglement required to play $\varepsilon$-optimally is at least $\Omega(1/\varepsilon^k)$, for some $k>0$. Since this function approaches infinity as $\varepsilon$ approaches zero, this provides a quantitative version of a theorem of the first author.
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