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Linear-Size Constant-Query IOPs for Delegating Computation

机译:用于委托计算的线性大小常数查询IOP

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We study the problem of delegating computations via interactive proofs that can be probabilistically checked. Known as interactive oracle proofs (IOPs), these proofs extend probabilistically checkable proofs (PCPs) to multi-round protocols, and have received much attention due to their application to constructing cryptographic proofs (such as succinct non-interactive arguments). The relevant complexity measures for IOPs in this context are prover and verifier time, and query complexity. We construct highly efficient IOPs for a rich class of nondeterministic algebraic computations, which includes succinct versions of arithmetic circuit satisfiability and rank-one constraint system (R1CS) satisfiability. For a time-T computation, we obtain prover arithmetic complexity O(T log T) and verifier complexity polylog(T). These IOPs are the first to simultaneously achieve the state of the art in prover complexity, due to [14], and in verifier complexity, due to [7]. We also improve upon the query complexity of both schemes. The efficiency of our prover is a result of our highly optimized proof length; in particular, ours is the first construction that simultaneously achieves linear-size proofs and polylogarithmic-time verification, regardless of query complexity.
机译:我们研究了可以通过概率证明的交互式证明来委托计算的问题。这些证明被称为交互式Oracle证明(IOP),将概率可检查证明(PCP)扩展到多轮协议,并且由于其在构造密码证明(例如简洁的非交互参数)中的应用而受到了广泛关注。在这种情况下,IOP的相关复杂性度量是证明者和验证者时间以及查询复杂性。我们为大量的不确定性代数计算构建了高效的IOP,其中包括算术电路可满足性和秩一约束系统(R1CS)可满足性的简洁版本。对于时间T计算,我们获得证明者算术复杂度O(T log T)和验证者复杂度polylog(T)。由于[14],这些IOP是第一个同时达到证明者复杂性和[7]的验证者复杂性的技术。我们还改进了两种方案的查询复杂性。我们的证明者的效率是我们高度优化的证明长度的结果;特别是,我们的结构是第一个同时实现线性大小证明和多对数时间验证的结构,而不管查询的复杂性如何。

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