aiqbench analysis
This paper is theoretical quantum information science, not applied quantum hardware. It tightens the known bound on how the winning probability of a two-player entangled game shrinks under parallel repetition, a question tied to quantum complexity results such as MIP*. Readers in quantum computing will find the value mainly in the proof technique, which uses quantum conditional relative entropy, and in the cubic rate, which matches Song's earlier result. It has no direct bearing on near-term devices or applications.
Parallel Repetition for Entangled Games via Conditional Relative Entropy
arXiv:2610.21410v1 Announce Type: new Abstract: We give a proof of the cubic parallel-repetition bound for finite two-player entangled games using quantum conditional relative entropy. For a game with entangled value $1-\varepsilon<1$ and answer alphabets $\mathcal A,\mathcal B$, its $n$-fold repeated value is at most \[ \exp[-\Omega(\varepsilon^3n/L)],\qquad L:=\max\{1,\log(|\mathcal A||\mathcal B|)\}, \] for every $n\ge1$. This recovers Song's cubic rate. We also prove a threshold bound: the probability of winning a fraction at least $1-\varepsilon+\delta$ is at most $\exp[-\Omega(\delta^5n/(\varepsilon^2L))]$ for $0<\delta\le\varepsilon$. Our information charge is the decrease in relative entropy when a question reference is discarded. Our comparison states preserve the original conditional question law. A chain rule bounds the coordinate charges using the cost of conditioning on checked wins and retaining checked answers. Our main lemma converts small charges into nearby pure-state descriptions and local corrections, each depending only on one player's question. Together with Song's sampler, these enable approximate local preparation of the conditioned workspace.
Abstract:We give a proof of the cubic parallel-repetition bound for finite two-player entangled games using quantum conditional relative entropy. For a game with entangled value $1-\varepsilon<1$ and answer alphabets $\mathcal A,\mathcal B$, its $n$-fold repeated value is at most \[ \exp[-\Omega(\varepsilon^3n/L)],\qquad L:=\max\{1,\log(|\mathcal A||\mathcal B|)\}, \] for every $n\ge1$. This recovers Song's cubic rate. We also prove a threshold bound: the probability of winning a fraction at least $1-\varepsilon+\delta$ is at most $\exp[-\Omega(\delta^5n/(\varepsilon^2L))]$ for $0<\delta\le\varepsilon$. Our information charge is the decrease in relative entropy when a question reference is discarded. Our comparison states preserve the original conditional question law. A chain rule bounds the coordinate charges using the cost of conditioning on checked wins and retaining checked answers. Our main lemma converts small charges into nearby pure-state descriptions and local corrections, each depending only on one player's question. Together with Song's sampler, these enable approximate local preparation of the conditioned workspace.
Quantum Physics (quant-ph); Computational Complexity (cs.CC); Information Theory (cs.IT)
arXiv:2610.21410 [quant-ph]
(or arXiv:2610.21410v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2610.21410 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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