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Title: NVIDIA Connects AI GPUs to Early Quantum Processors

Link: https://hardware.slashdot.org/story/25/11/10/...

"Quantum computing is still years away, but Nvidia just built the bridge that
will bring it closer..." argues investment site The Motley Fool, "by linking
today's fastest AI GPUs with early quantum processors..." 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... 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... 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."

Read more of this story at Slashdot.

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