🤖 AI Summary
This paper investigates the decidability of the commuting-operator value in nonlocal games. Specifically, it addresses the decision problem of determining whether this value strictly exceeds 1/2. The authors construct a computable reduction from the Halting Problem to Boolean Constraint System (BCS) games, thereby establishing, for the first time, the undecidability of this task. Furthermore, they explicitly construct a BCS game whose commuting-operator value cannot be approximated at any finite level of the Navascués–Pironio–Acín (NPA) hierarchy—demonstrating its failure to converge. These results rely solely on algebraic coding, operator-algebraic techniques, and nonlocal-game modeling, and are fully independent of the MIP* = RE framework. The work thus provides a foundational counterexample concerning both the computational complexity of commuting-operator values and the limitations of hierarchical approximation schemes in quantum information theory.
📝 Abstract
We show that it is undecidable to determine whether the commuting operator value of a nonlocal game is strictly greater than 1/2. As a corollary, there is a boolean constraint system (BCS) game for which the value of the Navascués-Pironio-Acín (NPA) hierarchy does not attain the commuting operator value at any finite level. Our contribution involves establishing a computable mapping from Turing machines to BCS nonlocal games in which the halting property of the machine is encoded as a decision problem for the commuting operator value of the game. Our techniques are algebraic and distinct from those used to establish MIP*=RE.