Biswas et al. proposed a projective variant of the Sum-Check protocol in their paper, changing the interpolating set from Boolean hypercube to infinity hypercube to optimize prover performance, with additional optimizations for prime field multiplication. Biswas等人在论文中提出了一种基于单项式基的Sum-Check协议变体,通过将插值集从布尔超立方改为无穷超立方,优化了证明者性能,并针对素数域乘法进行了额外优化。
Notes
Proposed a projective Sum-Check variant using infinity hypercube instead of Boolean hypercube
Achieves end-to-end prover speedup on BN254 and 128-bit pseudo-Mersenne prime fields
Eliminates all field subtractions when binding multilinear polynomials
Provides evaluation procedures with fewer field operations for structured polynomials
Monomial-coefficient form aligns naturally with polynomial commitment schemes like WHIR
Optimized prime field multiplication by sampling challenges from specific subsets
提出基于无穷超立方的Sum-Check协议变体,替代标准布尔超立方插值集
该变体在BN254和128位伪梅森素数域上实现端到端证明者加速
消除绑定多项式时的所有域减法操作,简化计算过程
针对结构化多项式(如等式和小于比较)提供更少域操作的评估过程
单项式系数形式与WHIR等多项式承诺方案自然对齐,消除基不匹配问题
针对素数域乘法提出优化,通过选择挑战子集实现乘法加速
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Q&A Deep Dive 💬今日要点 深入解析 💬
Mon星期一
04.27
2026
On what domain does standard sum-check typically operate? 传统sum-check通常在哪个集合上运行?
Standard sum-check typically runs over the Boolean hypercube, where each variable is 0 or 1. This fits naturally with multilinear polynomials. 传统sum-check通常在布尔超立方体上运行,即所有变量取0或1的集合。这适合多线性多项式的表示。
What is the key idea of the monomial basis optimization? 这篇论文的“monomial basis”改进核心是什么?
The paper replaces the Boolean hypercube with an “infinity hypercube,” allowing evaluations at certain points to directly extract monomial coefficients, changing the representation used in sum-check. 论文将插值集合从布尔超立方体改为“无穷超立方体”,使得在某些点的求值可以直接提取单项式系数,从而改变sum-check的表示方式。
Why does the monomial coefficient form align better with some polynomial commitments? monomial系数形式为何更适配某些多项式承诺?
Some commitment schemes like WHIR naturally use monomial coefficients, while standard sum-check uses multilinear basis. This mismatch requires conversions, which the new approach avoids. 一些承诺方案(如WHIR)天然以单项式系数表示多项式,而传统sum-check使用多线性基会产生基不匹配问题。该方法统一表示,减少转换成本。