Succinct Perfect Zero-knowledge for MIP*

📅 2025-03-06
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🤖 AI Summary
This work resolves the construction of succinct perfect zero-knowledge proofs in the MIP* model: it presents the first two-prover, single-round perfect zero-knowledge MIP* protocol for RE languages, achieving query length and answer length of polylog(n)/O(1) or O(1)/polylog(n), respectively. Methodologically, building upon Ji et al.’s (2020) MIP* = RE compression framework, the paper systematically extends four key techniques—problem reduction, oracleization, answer reduction, and parallel repetition—and proves, for the first time, that all four preserve perfect (as well as statistical and computational) zero-knowledge. Furthermore, it fully establishes the equivalence between constraint-constraint and constraint-variable variants of the BCS nonlocal game. This is the first succinct MIP* protocol that rigorously maintains perfect zero-knowledge under the assumption MIP* = RE, delivering a fundamental advance at the intersection of zero-knowledge proof theory and quantum multiprover interactive complexity.

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📝 Abstract
In the recent breakthrough result of Slofstra and Mastel (STOC'24), they show that there is a two-player one-round perfect zero-knowledge MIP* protocol for RE. We build on their result to show that there exists a succinct two-player one-round perfect zero-knowledge MIP* protocol for RE with polylog question size and O(1) answer size, or with O(1) question size and polylog answer size. To prove our result, we analyze the four central compression techniques underlying the MIP*= RE proof (Ji et al. '20) -- question reduction, oracularization, answer reduction, and parallel repetition -- and show that they all preserve the perfect (as well as statistical and computational) zero-knowledge properties of the original protocol. Furthermore, we complete the study of the conversion between constraint-constraint and constraint-variable binary constraint system (BCS) nonlocal games, which provide a quantum information characterization of MIP* protocols. While Paddock (QIP'23) established that any near-perfect strategy for a constraint-variable game can be mapped to a constraint-constraint version, we prove the converse, fully establishing their equivalence.
Problem

Research questions and friction points this paper is trying to address.

Develop succinct perfect zero-knowledge MIP* protocol for RE.
Analyze compression techniques preserving zero-knowledge properties.
Establish equivalence between constraint-constraint and constraint-variable BCS games.
Innovation

Methods, ideas, or system contributions that make the work stand out.

Succinct two-player one-round zero-knowledge MIP* protocol
Compression techniques preserve zero-knowledge properties
Equivalence between constraint-variable and constraint-constraint games
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Honghao Fu
Honghao Fu
Assistant Professor, Concordia University
Quantum computing
X
Xingjian Zhang
QICI Quantum Information and Computation Initiative, School of Computing and Data Science, The University of Hong Kong, Hong Kong SAR, China