Paper 2025/1390

Optimizing Backend Verification in zk-Rollup Architectures

Abstract

Zero-knowledge rollups represent a critical scaling solution for Ethereum, yet their practical deployment faces significant challenges in on-chain verification costs. This paper presents a comprehensive implementation of the Tokamak zkEVM verifier, specifically optimized for the BLS12-381 elliptic curve operations introduced by EIP-2537. We detail the complete verification architecture, from EVM compatible data formatting for pairing checks, multi-scalar multiplication (MSM), and elliptic curve addition, to the non-interactive protocol design between prover and verifier. Our key contribution lies in novel optimization techniques that substantially reduce on-chain verification costs. Through strategic polynomial aggregation and scalar factorization, we minimize G1 exponentiations from 40 to 31, achieving gas savings of 108,000 units per verification. Additionally, we introduce a dynamic barycentric interpolation method that replaces computationally intensive FFT operations, resulting in 92-95% gas reduction for sparse polynomial evaluations. We further present proof aggregation strategies that minimize precompile calls while maintaining the 128-bit security guarantees of BLS12-381. Our implementation demonstrates that careful protocol design and mathematical optimizations can make zk-rollup verification economically viable on Ethereum. The techniques presented are compatible with the upcoming Pectra upgrade and provide a blueprint for efficient on-chain verification of complex zero-knowledge proofs. Experimental results show total gas costs reduced from 857,200 to 748,450 units for complete proof verification, making our approach practical for high-throughput rollup deployments.