The paper.
https://eprint.iacr.org/2025/1237.pdf
It’s worth a read. Lotta sarcasm going on.
16 pages. Dogs. Cards. Odds. Lies. Tariffs.
haven’t read that Narnia book yet
Technocrit buried the lead when they posted this. Here it is with the actual paper highlighted.
Here’s another paper describing the issues at play. This one is a bit more serious.
Craig Gidney - Why haven’t quantum computers factored 21 yet?
https://algassert.com/post/2500And apparently this field is ripe for humor. And Buzz Lightyear graphics.
The prior author did his own joke paper, which is too much for my head.
Falling with Style: Factoring up to 255 “with” a Quantum Computer
https://sigbovik.org/2025/proceedings.pdf#page=146
deleted by creator
Yes. Exactly.
Also, heres those two numbers in binary.
15 = 1111
21 = 10101
So, those are special numbers. Its straight up cheating.
I’ve chewed on Gidney’s ‘Falling with Style’ paper.
I recommend reading it if you would like to understand Shor’s Algorithm.I’m somewhat unclear if the following applies to Shor’s Algorithm in general, or just the modified version used for the experiment.
But I’ve come to understand that the algorithm is a recursive series of steps, structured such that it will eventually factor anything.
Like … it could take longer than the age of the universe for some numbers, but the algorithm will do the job if you got enough cycles to spare.What we are looking for here is quantum supremacy, and once Gidney has explained this much, its obvious from the graph above that we are not seeing it. Pure random noise outperformed the quantum computer.
I guess the thing I’ve not absorbed yet is, why was the quantum computer expected to not work? I know it was much too complex a system, and internal noise would overwhelm any processing. Gidney described being amazed that the IBM quantum system even let him configure his experiment and run it. Why did it lose so completely to a random noise generator, as in how could you possibly get worse than random noise?
Scribble is a good boy, 13/10.
Scribble understands the importance of evidence-based science. :]



