Parallel repetition of expanded, and multiplayer, Quantum games: anchoring, optimal values, generalized error bounds, dependency-breaking as symmetry-breaking
Pete Rigas

TL;DR
This paper proves that the probability of winning multiplayer anchored quantum games decreases exponentially with parallel repetition, using advanced probabilistic and information-theoretic techniques to analyze optimal values and error bounds.
Contribution
It introduces a novel analysis of parallel repetition decay for multiplayer anchored quantum games, extending previous work with new probabilistic and symmetry-breaking methods.
Findings
Exponential decay of game winning probability under parallel repetition.
Development of generalized error bounds for multiplayer quantum games.
Application of symmetry-breaking techniques to quantum game analysis.
Abstract
We demonstrate that parallel repetition of the multiplayer anchored optimal value, , decays exponentially. Central to our approach are several probabilistic computations, pertaining to: (1) the computation of expected values for quantifying how the winning probability of the game is likely to change under the anchoring transformation; (2) the computation of positive operator valued measurements, which can be placed into direct correspondence with several probabilistically defined quantities; (3) the computation of Relative, and Relative-min entropies; (4) and lastly, the computation of generalized error bounds, which have previously been analyzed by the author in several multiplayer game-theoretic settings (arXiv: 2505.06322, and arXiv: 2507.03035). This work builds upon observations originally provided by Bavarian, Vidick, and Yuen (arXiv:…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
