Hui Cao (John C. Malone Professor of Applied Physics) getting random numbers faster

A chip detects laser fluctuations to generate random numbers. (credit: Kyungduk Kim)
March 1, 2021

Random numbers are increasingly important to our digitally connected world, with applications that include e-commerce, cryptography, and cloud computing. Producing a large amount of truly random numbers quickly, though, is a challenge.

Usually, those physical random number generators are not very fast — that’s one problem,” said Yale’s Hui Cao, the John C. Malone Professor of Applied Physics and professor of physics and of electrical engineering, who led the study. “Also, they are sequential — that is, they usually just generate one bitstream. They cannot generate many bitstreams simultaneously. And in each stream, the rate is relatively low, so that prevents it from generating a lot of random numbers very quickly.”

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