A convergent sum-of-squares hierarchy for compiled nonlocal games
David Cui, Chirag Falor, Anand Natarajan, Tina Zhang

TL;DR
This paper introduces a convergent sum-of-squares hierarchy to quantitatively bound the quantum value of compiled nonlocal games, advancing understanding of quantum soundness in cryptographic game settings.
Contribution
It develops a hierarchy of semidefinite programs over nice certificates that converges to the optimal quantum value, extending previous bounds and frameworks.
Findings
Hierarchy converges to the optimal quantum value.
Systematic method for bounding quantum success in nonlocal games.
Reproduces known bounds for special classes of games.
Abstract
We continue the line of work initiated by Kalai et al. (STOC '23), studying "compiled" nonlocal games played between a classical verifier and a single quantum prover, with cryptography simulating the spatial separation between the players. The central open question in this area is to understand the soundness of this compiler against quantum strategies, and apart from results for specific games, all that is known is the recent "qualitative" result of Kulpe et al. (STOC '25) showing that the success probability of a quantum prover in the compiled game is bounded by the game's quantum commuting-operator value in the limit as the cryptographic security parameter goes to infinity. In this work, we make progress towards a quantitative understanding of quantum soundness for general games, by giving a concrete framework to bound the quantum value of compiled nonlocal games. Building on the…
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Taxonomy
TopicsAdvanced Optimization Algorithms Research · Advanced Control Systems Optimization · Optimization and Variational Analysis
