Comment Re: No, based on the summary (Score 3, Interesting) 140
It sounds to me like the input to the algorithm is truly random, but not unbiased, and the algorithm perfectly unbiases output from the particular source they are using. The rest of the article goes into the type of flaw they're addressing, and talks about very slightly unfair dice, which you could correct, but you'd need to know exactly how unfair they are, and you're always going to be very slightly wrong and end up correcting not quite perfectly. The obvious quantum RNG is to generate polarized light and measure it perpendicular to the polarization, but you'd still need to get it perfectly perpendicular. It sounds like they've built something that doesn't rely on precise alignment to give a known distribution, which they can then use to unbias the output perfectly.