07:23
On my first quote: I was not saying more than: my understanding is that for the method to work, the integer factored must have some relation with the molecule used. I infer this is not a general factorization method applicable to any integer of comparable size. It would follow that there is no reason to believe that, with this molecules or any reasonably small collection of molecules, the method would apply to more than a vanishingly low fraction of RSA moduli.
07:40
My second quote is trying to see if we can extend the approach of that paper, which I read as extending the result in that paper of yours by finding a larger specific integer suitable for the method.
07:58
For reference, the crypto-SE answer where I talk about this is here. My tentative conclusion is that the experimentally successful methods for factorization of integer n with quantum computing fall into 3 categories:
- Those that as n grows are applicable to only a vanishing fraction of biprimes n, and as such can't hope to challenge RSA. I qualify the record-high n achieved in this category as stunt, with mine the king of stunts AFAIK.
- Those that are applicable to a non-vanishing fraction of biprimes n, but are combinatorial in nature. By extrapolation of their runtime, they can't hope to challenge RSA even if quantum computers became usable for large instances of Grover's algorithm or similar. The experimental record here is a currently a 6-decimal-digit n.
3 hours later…
10:34
10 hours later…
20:16
Okay academics, I just came across something in a paper regarding key exchange and chaotic oscillators. They mentioned "classic" methodology. I made a chaotic oscillator in circuits to encrypt analog video; however, I have never heard of anyone making one digitally to do something similar. Is there a "classic reference" for a digital system where a chaotic oscillator is used for a key exchange?
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May '2131
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The Side Channel
Mostly randomly generated noise. – crypto.stackexchange.com