Nonlocal games with noisy maximally entangled states are decidable

This paper considers a special class of nonlocal games $(G,psi)$, where $G$ is a two-player one-round game, and $psi$ is a bipartite state independent of $G$. In the game $(G,psi)$, the players are allowed to share arbitrarily many copies of $psi$. The value of the game $(G,psi)$, denoted by $omega^*(G,psi)$, is the supremum of the winning probability that the players can achieve with arbitrarily many copies of preshared states $psi$. For a noisy maximally entangled state $psi$, a two-player one-round game $G$ and an arbitrarily small precision $epsilon>0$, this paper proves an upper bound on the number of copies of $psi$ for the players to win the game with a probability $epsilon$ close to $omega^*(G,psi)$. Hence, it is feasible to approximately compute $omega^*(G,psi)$ to an arbitrarily precision. Recently, a breakthrough result by Ji, Natarajan, Vidick, Wright and Yuen showed that it is undecidable to approximate the values of nonlocal games to a constant precision when the players preshare arbitrarily many copies of perfect maximally entangled states, which implies that $mathrm{MIP}^*=mathrm{RE}$. In contrast, our result implies the hardness of approximating nonlocal games collapses when the preshared maximally entangled states are noisy. The paper develops a theory of Fourier analysis on matrix spaces by extending a number of techniques in Boolean analysis and Hermitian analysis to matrix spaces. We establish a series of new techniques, such as a quantum invariance principle and a hypercontractive inequality for random operators, which we believe have further applications.