NVIDIA Connects AI GPUs to Early Quantum Processors (fool.com)
- Reference: 0180023052
- News link: https://hardware.slashdot.org/story/25/11/10/0648228/nvidia-connects-ai-gpus-to-early-quantum-processors
- Source link: https://www.fool.com/investing/2025/11/09/nvidias-quiet-move-into-quantum-computing-could-re/
NVIDIA's new hybrid system strengthens communication at microsecond speeds — orders of magnitude faster than before — "allowing AI to stabilize and train quantum machines in real time, potentially pulling major breakthroughs years forward."
> CUDA-Q, Nvidia's open-source software layer, lets researchers choreograph that link — running AI models, quantum algorithms, and error-correction routines together as one system. That jump allows artificial intelligence to monitor [in real time]... For researchers, that means hundreds of new iterations where there used to be one — a genuine acceleration of discovery. It's the quiet kind of progress engineers love — invisible, but indispensable...
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> Its GPUs (graphics processing units) are already tuned for the dense, parallel calculations these explorations demand, making them the natural partner for any emerging quantum processor... Other companies chase better quantum hardware — superconducting, photonic, trapped-ion — but all of them need reliable coordination with the computing power we already have. By offering that link, Nvidia turns its GPU ecosystem into the operating environment of hybrid computing, the connective tissue between what exists now and what's coming next. And because the system is open, every new lab or start-up that connects strengthens Nvidia's position as the default hub for quantum experimentation...
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> There's also a defensive wisdom in this move. If quantum computing ever matures, it could threaten the same data center model that built Nvidia's empire. CEO Jensen Huang seems intent on making sure that, if the future shifts, Nvidia already sits at its center. By owning the bridge between today's technology and tomorrow's, the company ensures it earns relevance — and revenue — no matter which computing model dominates.
So Nvidia's move "isn't about building a quantum computer," the article argues, "it's about owning the bridge every quantum effort will need."
[1] https://www.fool.com/investing/2025/11/09/nvidias-quiet-move-into-quantum-computing-could-re/
Wait for Elon (Score:2)
The whole quantum AI is pretty obviously going to be the next step in sustaining the insane AI valuations. I bet Elon and Altman will start a quantum computing company once the market gets wobbly enough.
They will then be able to say the **magical stuff will happen** as soon as they get the quantum machine running - which they're really close to doing. Even being able to do press releases around stringing more and more q-bits together, will allow them to keep the hype going for another five years or so until
Re: (Score:2)
Given that the current record for quantum-factorization is 35 (!), they will have to do some industrial-strength lying to get that across. Not that these two are unfamiliar with that approach.
Re: (Score:3)
This is clearly true - the only question is will they be able to connect the dying ai bubble to the nacent quantum computing bubble or will they be two seperate events?
I suspect the latter, because quantum computing just isn't there yet, but they might as well try to get some fancy new keys to jangle in front of us. They're trying some other stuff, like hinting about non-llm superintellegence in the very near future, but that seems to be obviously just straight up lying.
Engineers (Score:2)
> a genuine acceleration of discovery. It's the quiet kind of progress engineers love — invisible, but indispensable...
Who said that engineers love indispensable things?
My observation is that engineers like well-engineered things. I've never heard any engineer anywhere say they like indispensable things. What was the source of information, Gemini?
Swapping PRNG for a TRNG (Score:2)
Hallucinations for scientists instead of geeks.