arXiv · 1609.01652
Entanglement of approximate quantum strategies in XOR games
Abstract
We show that for any $\varepsilon>0$ there is an XOR game $G=G(\varepsilon)$ with $Θ(\varepsilon^{-1/5})$ inputs for one player and $Θ(\varepsilon^{-2/5})$ inputs for the other player such that $Ω(\varepsilon^{-1/5})$ ebits are required for any strategy achieving bias that is at least a multiplicative factor $(1-\varepsilon)$ from optimal. This gives an exponential improvement in both the number of inputs or outputs and the noise tolerance of any previously-known self-test for highly entangled states. Up to the exponent $-1/5$ the scaling of our bound with $\varepsilon$ is tight: for any XOR game there is an $\varepsilon$-optimal strategy using $\lceil \varepsilon^{-1} \rceil$ ebits, irrespective of the number of questions in the game.
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Dimiter Ostrev, Thomas Vidick. 2016-09-06. Entanglement of approximate quantum strategies in XOR games. https://arxiv.org/abs/1609.01652
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