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I mean, that's a good use for such a computer

well sort of. They might do so in the future.

"Although not quite there yet, the researchers concluded that quantum-based computational chemistry on the kinds of quantum computers that will be available in the near-term will play “a vital role to find potential materials that can enhance the battery performance and robustness.” While they used a 20-qubit simulator, they suggest a 400-qubit quantum computer (which will soon be available) would be necessary to fully model the Li2Co2O4 and Co2O4 system they considered."

But can they use it to find out why their gas engines just fail after 100k miles.

Fake news … Ford does not have any brains to tame tech .. they can only tame few folks in US congress

Not really a thing for any modern vehicles. It’s pretty common to get 200-300k miles on a well maintained vehicle.

tldr; Ford got a little(lot) of help from ChatGPT.

Thanks for the TLDR lol

Never had a Ford engine just fail after 100k miles. Transmissions, on the other hand… well let’s just say it’s not called a PowerShit transmission for nothing.

Now my GM Terrain; that thing magically developed a hole in the engine block and one of the rocker arms just fell off one day.

https://arxiv.org/abs/2208.07977

Kind of a misleading title. They've only described how to go about using VQE for simulating more complex and useful molecules other than simple benchmarking ones like H2, H2O, and LiH, and what their limitations are. Paper explains all of their methods.

I'm no battery expert but basically, the existing solid state battery simulation algorithm (DFT) has limitations on how well it can describe many body electronic structure systems. This is important for predicting whether or not a battery can keep a steady voltage. Using VQE and entangling more qubits appears to be necessary to better simulate the energy states of LiCoO2 and CoO2 molecules, which are essentially intermediate phases of matter found in batteries which transfer & hold electrical charge.

So why would Ford care about this? Obviously EVs need better batteries. But if you want to speed up your R&D time, modeling & simulation helps narrow down your candidate test materials to manufacture to ones which have the best chance of holding the best charge in simulations. In order to do that better, you want to use faster and more accurate simulation tools. That's where QC comes in. Very interesting research.

"Hey GPT3, can you come up with 3 alternatives to cobalt for electric vehicules? Keep it short"

looks like a website that found a way to combine 2 buzz words in the same title. That means nothing. They could be using Google on a quantum computer to find out the materials needed to create a battery. The title is that vague

holy shit what a bad misleading title

So the Congo? Send in the children with pick axes

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"more expensive"

> Ford used a quantum computer

> Although not quite there yet

This is the worst clickbait I've seen all day.

Yeah, that's what I was thinking too. I don't actually know what "a 20-qubit simulator" is, but I'm confident it didn't find better EV battery materials. I think this was more proof of concept

Who makes a 400 qubit computer. That’s insane.