New Method Reveals Indistinguishable Randomness in Data Generated by Different Sources
The article develops a way to measure randomness in sequences using a formula from random matrix theory. By comparing the moments of actual data to theoretical predictions, the researchers found that different random data sets from various generators had similar levels of randomness. However, they could detect differences in the randomness of certain parts of the sequences.