zkSNARK Optimization is the process of improving the efficiency, speed, or resource consumption of Zero-Knowledge Succinct Non-Interactive ARguments of Knowledge (zkSNARKs). This involves refining the underlying cryptographic algorithms, circuit design, or implementation techniques to reduce proving time, verification time, or proof size. It aims to make zkSNARKs more practical.
Context
zkSNARK optimization is a critical area of research and development, directly impacting the scalability and privacy features of numerous blockchain protocols. Continuous efforts focus on reducing computational overhead to facilitate broader adoption of privacy-preserving technologies.
zkVC introduces CRPC and PSQ to reduce matrix multiplication constraints from O(n3) to O(n), achieving over 12x faster ZK proof generation for verifiable AI.
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