IOPs with Inverse Polynomial Soundness Error

2023 IEEE 64TH ANNUAL SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE, FOCS(2023)

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摘要
We show that every language in NP has an Interactive Oracle Proof (IOP) with inverse polynomial soundness error and small query complexity. This achieves parameters that surpass all previously known PCPs and IOPs. Specifically, we construct an IOP with perfect completeness, soundness error 1/n, round complexity O(log log n), proof length poly(n) over an alphabet of size O(n), and query complexity O(log log n). This is a step forward in the quest to establish the sliding-scale conjecture for IOPs (which would additionally require query complexity O(1)). Our main technical contribution is a high-soundness smallquery proximity test for the Reed-Solomon code. We construct an IOP of proximity for Reed-Solomon codes, over a field F with evaluation domain L and degree d, with perfect completeness, soundness error (roughly) max{1 - delta, O(rho(1/4))} for delta-far functions, round complexity O(log log d), proof length O(vertical bar L vertical bar/rho) over F, and query complexity O(log log d); here rho = (d+ 1)/vertical bar L vertical bar is the code rate. En route, we obtain a new high-soundness proximity test for bivariate Reed-Muller codes. The IOP for NP is then obtained via a high-soundness reduction from NP to Reed-Solomon proximity testing with rate rho = 1/poly(n) and distance delta = 1- 1/poly(n) (and applying our proximity test). Our constructions are direct and efficient, and hold the potential for practical realizations that would improve the state-of-the-art in real-world applications of IOPs.
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