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Would AI inferencing, or training be better suited to a quantum computer? I recall thouse not being great at conventional math, but massively accelerates computations that sounded similar to machine learning.
My understanding of quantum computers is that they're great a brute forcing stuff, but machine learning is just a lot of calculations, not brute forcing.
If you want to know the square root of 25, you don't need to brute force it. There's a direct way to calculate the answer and traditional computers can do it just fine. It's still going to take a long time if you need to calculate the square root of a billion numbers.
That's basically machine learning. The individual calculations aren't difficult, there's just a lot to calculate. However, if you have 2 computers doing the calculations, it'll take half the time. It'll take even less time if you fill a data center with a cluster of 100,000 GPUs.