Nearly Optimal Pseudorandomness From Hardness

Nearly Optimal Pseudorandomness From Hardness

Explore a 26-minute IEEE conference talk on derandomization and pseudorandom generators. Delve into the nearly optimal pseudorandomness derived from hardness, presented by researchers from Stanford University and the University of Texas at Austin. Learn about the general approach to derandomization, the STV011-bit stretch, and a new approach using codes with large alphabets. Understand concepts such as pseudoentropy, locally list recoverable codes, and extracting from pseudoentropy. Conclude with open questions in this fascinating area of computational complexity theory.