Polylogarithmic runtime describes an algorithm’s efficiency where its execution time grows proportionally to a polynomial of the logarithm of the input size. This indicates a highly efficient algorithm, as logarithmic growth is very slow, meaning the algorithm performs well even with extremely large inputs. It signifies excellent scalability for computational tasks. It means very efficient processing.
Context
In the development of scalable blockchain solutions and zero-knowledge proofs, achieving polylogarithmic runtime for verification algorithms is a significant goal. This efficiency is critical for processing large numbers of transactions or complex computations off-chain, then verifying them quickly on-chain. Such advancements are essential for improving the throughput and reducing the costs of decentralized networks. This is key for blockchain scalability.
A new lattice-based commitment scheme enables the first quasi-optimal, quantum-resistant SNARKs, making secure, scalable verifiable computation practical.
We use cookies to personalize content and marketing, and to analyze our traffic. This helps us maintain the quality of our free resources. manage your preferences below.
Detailed Cookie Preferences
This helps support our free resources through personalized marketing efforts and promotions.
Analytics cookies help us understand how visitors interact with our website, improving user experience and website performance.
Personalization cookies enable us to customize the content and features of our site based on your interactions, offering a more tailored experience.
