Chopin: Optimal Pairing-Based Multilinear Polynomial Commitments from Bivariate KZG
Juraj Belohorec, Pavel Hubácek, Aleksi Kalsta, Kristýna Masková
摘要
We present CHOPIN, a pairing-based multilinear polynomial commitment scheme (PCS) achieving constant proof size and a linear-time prover, constructed modularly from a bivariate PCS. CHOPIN generalizes the recent compilers from univariate to multilinear PCS MERCURY (Eagen and Gabizon, ePrint 2025/385) and Samaritan (Ganesh, Patranabis, and Singh, ASIACRYPT 2025). Due to its modular design, we obtain a direct proof of knowledge soundness via a reduction to the knowledge soundness of the underlying bivariate PCS in the standard model. In particular, our analysis avoids idealized models such as the Algebraic Group Model.
When instantiated with the bivariate KZG scheme (Papamanthou, Shi, and Tamassia, TCC 2013), CHOPIN achieves a similar proof size to Mercury and Samaritan while offering a two-fold speedup in the main bottleneck for the prover time, which arises because CHOPIN requires only a single large MSM proportional to the size of the committed multilinear polynomial, in contrast to the two large MSMs required by the prior works, at the cost of one additional pairing for the verifier.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
相关 Paper
- DewTwo: A Transparent PCS with Quasi-Linear Prover, Logarithmic Verifier and 4.5KB Proofs from Falsifiable AssumptionsBenedikt Bünz, Tushar Mopuri, Alireza Shirzad, Sriram SridharCRYPTO 2025 · 被引用 1 次
- Dual Polynomial Commitment Schemes and Applications to Commit-and-Prove SNARKsChaya Ganesh, Vineet Nair, Ashish SharmaCCS 2024 · 被引用 4 次
- Bolt: Faster SNARKs from Sketched CodesKobi Gurkan, Andrija Novakovic, Ron D. RothblumCRYPTO 2026 · 被引用 4 次
- On Extractability of the KZG Family of Polynomial Commitment SchemesJuraj Belohorec, Pavel Dvorák, Charlotte Hoffmann, Pavel Hubácek 等CRYPTO 2025 · 被引用 3 次
- Blaze: Fast SNARKs from Interleaved RAA CodesMartijn Brehm, Binyi Chen, Ben Fisch, Nicolas Resch 等EUROCRYPT 2025 · 被引用 15 次
