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- Hacker News
- TLDRAIBBQ: Claude redesigned eight simulated quantum circuits, reducing operations by up to 17× and 12× by reconstructing temporary data and replacing an algorithm with a better one.by whoishiding
- Weird they don’t mention Bennet (1973)?by cgio
- I'm normally more of an AI hater but this just seems objectively good so I'll ignore it and move onby JacobAsmuth
- Quantum Vibe Coding: anyone can do it!by dr_dshiv
- This is definitely a level of universal paper clips we’re on…
This is the level where the AI develops quantum computing to make itself smarter (in the game)
by kingcauchy - (warning: pile of AI) I tried autoformalizing my advisor’s decades of papers in https://github.com/emberian/graphplay he studied “Grover-like” problems that evade some of the no-go theorems. these AI are a lot better at connecting domains and ideas for algorithmic insight than we have previously had available (the state of the art being not much better than Llull’s circles). I expect we’ll see a big burst of early progress.
I haven’t started yet, but modeling various diffusion and other operators inside the framework might find some Grover-speedups to some ML primitives of interest.
by cmrx64 - > In other cases, it found that existing circuits included costly components that were needed to handle only extremely rare inputs, and it redesigned them without those components.
So it’s not performing the same computation…
by adastra22 - This builds on the Kickmix quantum language from Google. Essentially, Kickmix is an assembly language for classically simulatable quantum circuits, and finding more efficient circuits is basically a game of code golf with the assembly instructions. That means LLMs benefit from the closed loop of verification, and can rapidly test and discard ideas. It's not too surprising that previous academics didn't try to optimize to this level, and a good task to automate. See ecdsa.fail for another example of circuit optimization using the Kickmix language.by keeganryan