Nvidia should be 'shaking in their boots' as quantum computing battles AI GPUs

If you think programming a GPU is hard, try to learn how to do a factorial on one of those quantum emulators.

Here is Microsoft one,

https://learn.microsoft.com/en-us/azure/quantum/qdk-main-ove...

	▲	cyanydeez 16 hours ago \| parent [-]
		i thought LLMs are the bootstrap to singularity riches.

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petra a day ago | parent | prev | next [-]

Nvidia has more money than God. Worst case they'll buy the competition.

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RoyTyrell a day ago | parent | prev | next [-]

yawn Maybe d-wave should put up or shut up. QC companies and bro-advocates have been saying this for years and there's been very little use outside of pure r&d labs.

I don't believe that QC is going to have the ease of use, time to deployment, and relative low-cost that GPUs are going to have any time soon - if ever.

	▲	cwillu a day ago \| parent [-]
		QC could have all of those things and it would still not be a threat. Using a quantum computer for general computation is like using a front-end loader to go grocery shopping: it's a spectacular improvement for the task it's designed for, and utterly useless for the vast majority of other tasks.

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Melatonic a day ago | parent | prev | next [-]

....do quantum computers and GPUs have a lot of overlap in the types of tasks they compute ? I was under the impression they solve quite different problems

	▲	duskwuff 21 hours ago \| parent \| next [-]
		Do present-day quantum computers compute any nontrivial tasks (i.e. beyond factoring the number 15)?
	▲	cwillu 21 hours ago \| parent \| prev \| next [-]
		Correct, there's almost no overlap.
	▲	hank808 21 hours ago \| parent \| prev [-]
		No.

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mgh2 20 hours ago | parent | prev [-]

Sounds like another hype cycle coming...

	▲	duskwuff 5 hours ago \| parent [-]
		Quantum computing has been stuck in a sort of attempted hype cycle for the last five or ten years now, I think.