Nvidia breaches new quantum computing milestone, using 90% fewer qubits and it could now improve drug discovery, financial modeling and more

Date:
Thu, 22 Oct 2026 22:35:00 +0000

Description:
Nvidia simulated 104 qubits on JUPITER, validating a quantum computing technique that reportedly reduces physical qubit requirements by 90% under realistic noise.

FULL STORY ======================================================================Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter Nvidia simulates 104 qubits using JUPITER, Europe's first exascale supercomputer The technique reportedly reduces physical qubit requirements by 90% Magic state cultivation could reduce hardware demands for fault-tolerant quantum computing Nvidia researchers have simulated a 104-qubit quantum computing system on JUPITER, Europe's first exascale supercomputer, validating a technique that requires 90% fewer physical qubits.

The experiment took place at Germany's Jlich Supercomputing Centre, where researchers examined how quantum computing systems could operate reliably.
The team investigated magic state cultivation, an approach to fault-tolerant quantum computing that could reduce the physical resources required for complex calculations. Latest Videos From TechRadar Watch full video here: New technique reduces quantum computing hardware requirements Quantum processors are vulnerable to environmental interference, which introduces errors and makes accurate calculations increasingly difficult as systems grow larger.

Researchers are developing fault tolerance methods to address these problems, enabling quantum computers to maintain computational accuracy despite errors affecting individual physical components. You may like The world's first diamond-powered portable quantum computer works at room temperature and can even be plugged into a regular wall outlet Why quantum scales on compute-per-watt, not qubit count IBM reveals plans for 'quantum fridges'
its next-gen cooling hardware, which could be the key to quantum computers finally reaching their potential

One approach involves producing specially prepared quantum resources called magic states, which are consumed during operations required for
fault-tolerant quantum calculations.

Producing these resources requires substantial computing capacity, making improvements in their preparation important for reducing the hardware demands of useful quantum systems. Are you a pro? Subscribe to our newsletter Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features
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Nvidia's simulation examined magic state cultivation, incorporating
realistic hardware noise, which allowed researchers to investigate errors
that earlier simulations conducted under ideal conditions could not
adequately represent.

"Useful quantum computing will require fantastically complex, fault-tolerant systemsand understanding how they behave at scale is essential to building them," said Jensen Huang, Nvidia's CEO and founder.

"Our results from Jlich show how quantum processors and GPU supercomputers
can work together to tackle research that would otherwise be out of reachaccelerating the discovery of transformative quantum applications." What to read next Quote of the day by PsiQuantum CEO Jeremy OBrien: "If you think the goal is to get to the top of the Empire State Building, you build longer ladders" Quote of the day by IBM's Daro Gil: "Not even a million or a billion of those supercomputers connected together could do the calculations of these future machines" NEC drops its quantum computing work, marking an end to nearly 30 years of development

Earlier research at Jlich simulated 50 qubits under ideal conditions, while the latest experiment incorporated realistic hardware noise.

The experiment nevertheless used classical computing infrastructure to simulate quantum operations rather than testing the technique on a
functioning quantum processor. JUPITER enables large-scale quantum
simulations Located in North Rhine-Westphalia, Germany, JUPITER provided the computing capacity needed to model complex quantum operations that conventional systems struggle to simulate.

The supercomputer used Nvidia GH200 processors for the experiment, with researchers scaling their methods to 8,192 GPUs .

Before moving to JUPITER, the team developed and tested its simulation
methods using Nvidia's GB200 NVL72 system at the company's Accelerated
Quantum Research Center.

Researchers expanded their initial tests from four graphics processors to hundreds, evaluating performance and accuracy before deploying the methods on the larger machine.

These preparations reduced simulations that previously required several weeks to just days, helping researchers use JUPITER's computing resources more efficiently.

The team also used Nvidia's cuQuantum software and CUDA Q platform to
simulate quantum circuits and represent the operations involved in magic
state cultivation.

The results could help researchers assess quantum processor designs before constructing hardware, potentially reducing the need for costly physical experiments during development.

However, Nvidia's result remains a simulation, and further experimental work must establish whether the technique delivers comparable benefits on actual quantum hardware. Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds.



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