Learning with Errors

Definition ∞ Learning with Errors (LWE) is a mathematical problem that forms the basis for several advanced cryptographic constructions, particularly in post-quantum cryptography. Its security stems from the computational difficulty of distinguishing between truly random data and data that has been intentionally perturbed with a small error. This problem is considered resistant to attacks by quantum computers, making it suitable for future encryption standards.
Context ∞ In crypto news, Learning with Errors is frequently mentioned when discussing the imperative to upgrade existing cryptographic infrastructure to withstand quantum computing threats. It is a key component of lattice-based cryptography, which is being developed to secure digital asset transactions and communications in a post-quantum era. The ongoing research and standardization efforts around LWE-based schemes are critical for the long-term viability of blockchain technology.