Comment on Regarding this picture, where do you think quantum computers lie and why?
bunchberry@lemmy.world 3 weeks agoUh… one of those algorithms in your list is literally for speeding up linear algebra. Do you think just because it sounds technical it’s “businessy”? All modern technology is technical, that’s what technology is. It would be like someone saying, “GPUs would be useless to regular people because all they mainly do is speed up matrix multiplication. Who cares about that except for businesses?” Many of these algorithms here offer potential speedup for linear algebra operations. That is the basis of both graphics and AI.
Knock_Knock_Lemmy_In@lemmy.world 3 weeks ago
For a sparse matrix where you don’t need the values of the solution vector.
I.e. a very specific use case.
Quantum computers will be called from libraries that apply very specific subroutines for very specific problems.
Consumers may occasionally call a quantum subroutine in a cloud environment. I very much doubt we will have a quantum chip in our phone.
aodhsishaj@lemmy.world 3 weeks ago
Yes, but, quantum TPM or TPU chips would allow for far more complex encryption. So you’d likely have a portiion of the SOC with a quantum bus or some other function.
However you’re correct that it’d take a seachange in computing for a qbit based OS
Knock_Knock_Lemmy_In@lemmy.world 3 weeks ago
Strong, post quantum encryption doesn’t require quantum computers. It uses different mathematical objects (e.g. matrices)
aodhsishaj@lemmy.world 3 weeks ago
True. However there is still a usecase. You could sign a cert for uefi much like a payment would. Useful for distributed compute.
www.nature.com/articles/s41467-023-39519-w
bunchberry@lemmy.world 3 weeks ago
Why are you isolating a single algorithm? There are tons of them that speed up various aspects of linear algebra and not just that single one, and many improvements to these algorithms since they were first introduced, there are a lot more in the literature than just in the popular consciousness.
The point is not that it will speed up every major calculation, but these are calculations that could be made use of, and there will likely even be more similar algorithms discovered if quantum computers are more commonplace. There is a whole branch of research called quantum machine learning that is centered solely around figuring out how to make use of these algorithms to provide performance benefits for machine learning algorithms.
If they would offer speed benefits, then why wouldn’t you want to have the chip that offers the speed benefits in your phone? Of course, in practical terms, we likely will not have this due to the difficulty and expense of quantum chips, and the fact they currently have to be cooled below to near zero degrees Kelvin. But your argument suggests that if somehow consumers could have access to technology in their phone that would offer performance benefits to their software that they wouldn’t want it.
That just makes no sense to me. The issue is not that quantum computers could not offer performance benefits in theory. The issue is more about whether or not the theory can be implemented in practical engineering terms, as well as a cost-to-performance ratio. The engineering would have to be good enough to both bring the price down and make the performance benefits high enough to make it worth it.
It is the same with GPUs. A GPU can only speed up certain problems, and it would thus be even more inefficient to try and force every calculation through the GPU. You have libraries that only call the GPU when it is needed for certain calculations. This ends up offering major performance benefits and if the price of the GPU is low enough and the performance benefits high enough to match what the consumers want, they will buy it. We also have separate AI chips now as well which are making their way into some phones. While there’s no reason at the current moment to believe we will see quantum technology shrunk small and cheap enough to show up in consumer phones, if hypothetically that was the case, I don’t see why consumers wouldn’t want it.
Knock_Knock_Lemmy_In@lemmy.world 3 weeks ago
To show that quantum computing only helps with very specific parts of very specific algorithms.
A QC is not a CPU, it’s not a GPU, it’s closer to a superpowered FPU.
Because the same functionality would be available as a cloud service (like AI now). This reduces costs and the need to carry liquid nitrogen around.
It is this. QC only enhances some very specific tasks.
Yes, exactly my point. QC is a less flexible GPU.
Because they would need to use the specific quantum enhanced algorithms frequently enough to pay to have local, always on access.
Agree. Unless some magic tech, like room temperature superconductors, turns up there will only be quantum as a service supplied for some very specific business needs.
bunchberry@lemmy.world 3 weeks ago
Okay, you are just misrepresenting my argument at this point.
theilleists@lemmy.world 3 weeks ago
I’m so dreadfully sorry. I cannot help myself. Please forgive me.
It’s “zero kelvins” not “zero degrees Kelvin.”
bunchberry@lemmy.world 3 weeks ago
You don’t have to be sorry, that was stupid of me to write that.