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Nvidia Ceo Predicts Quantum Computing S Major Breakthrough

Bonisiwe Shabane
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nvidia ceo predicts quantum computing s major breakthrough

Nvidia CEO Jensen Huang is turning his attention to the next critical enabler of the artificial intelligence (AI) revolution: quantum computing. “There’s an inflection point happening in quantum computing,” Huang said Wednesday (June 11) at the Viva Tech 2025 conference in Paris. “It is clear now we’re within reach of being able to apply quantum classical computing in areas that can solve some interesting problems in the coming years.” Huang had famously bet Nvidia’s future on AI and GPUs about a decade before the technology became a household name. At a keynote speech at Viva Tech, which is France’s version of CES, Huang revealed Nvidia is positioning itself to take advantage of the next stop in AI’s timeline. Quantum computing is a class of computers that are magnitudes more powerful than today’s classical computers.

Quantum computers can enable faster processing of AI, which is smart software. Quantum computers use quantum bits (qubits) that can process much more data than classical computers, which store data in bits, or ones and zeroes. Huang expressed a more optimistic view of quantum advancements after comments he made in January tanked some quantum stocks. Back then, he cast doubt on whether useful quantum computers could come online in the next 15 years, according to CNBC. Huang later said he was wrong. At Viva Tech, Huang unveiled CUDA-Q, a new extension of its CUDA platform designed for quantum-classical hybrid computing.

CUDA-Q is an open-source hybrid computing platform that lets the hardware and software needed to run quantum computing applications work together. “For at least the next generation of supercomputers, every single one of them will have a QPU (quantum processing unit) assigned and QPU connected to GPUs,” Huang predicted, describing a future where quantum and... Huang said that just as Moore’s Law once predicted exponential growth in classical computing, quantum computing is now poised for a similar trajectory. “I can totally expect 10 times more logical qubits every five years, 100 times more logical qubits every 10 years,” Huang said, citing advances in error correction, robustness, and scalability that are now within... Beyond quantum, Huang also unveiled Nvidia’s next-generation Grace Blackwell platform, which Huang described as a “thinking machine” architected for reasoning and planning. This hardware leap enables the creation and operation of digital twins — digital replicas of physical systems that can be designed and tested virtually before being deployed in the real world.

“Because of the scale and the speed by which we can now simulate almost everything, we can turn everything into a digital twin,” Huang said. “Everything physical will be built visually.” Nvidia CEO Jensen Huang is growing more bullish about quantum computing — and he expects they'll start solving real-world problems in the coming years. "Quantum computing is reaching an inflection point," Jensen declared during his keynote speech at Nvidia's GTC Paris developer conference Wednesday. Quantum computers are machines that use the laws of quantum mechanics to solve problems too complex for classical computers, which store information in bits (ones and zeroes). Quantum computers use quantum bits, or "qubits," which can be zero, one or something in between — the aim being to process much larger volumes of data to facilitate breakthroughs in areas like medicine,...

Quantum has been a buzzy space for investors with the rise of several popular stocks, such as Rigetti Computing and IonQ, which on Monday acquired Oxford Ionics for $1.1 billion. Shares of Rigetti and IonQ were up 4.5% and 3.7% respectively in U.S. premarket trading. PARIS - Quantum computing technology is at an inflection point, Nvidia CEO Jensen Huang reiterated on Wednesday at the VivaTech conference in Paris. Quantum calculations could crack problems that currently would demand years of processing from Nvidia’s most advanced AI systems. Quantum computing will solve “some interesting problems” in the coming years, Huang added.

The CEO made similar comments in March at Nvidia’s annual software developer conference when he spoke about the potential of quantum computing, walking back comments he made in January when he said useful quantum... In March, Huang also announced a new quantum computing research lab in Boston, set to collaborate with Harvard and MIT scientists. NVIDIA's CEO announces that quantum computing is set to become a major inflection point in technology by 2025. This breakthrough promises to revolutionize various sectors, transforming everything from AI capabilities to solving complex problems beyond the reach of classical computers. Nvidia Corp. (NVDA) CEO Jensen Huang has expressed growing confidence in the future of quantum computing, indicating that these advanced systems could start tackling practical problems much earlier than once anticipated.

Speaking during his keynote address at Nvidia’s GTC Paris developer conference today, Huang described quantum technology as approaching a pivotal stage. “Quantum computing is reaching an inflection point,” he told the audience, pointing to a surge in innovation and collaboration across Europe. Huang emphasized the potential of hybrid systems like Nvidia’s Cuda Q, which blend classical and quantum computing techniques to push boundaries further. “We are within reach,” Huang said, referring to solving tangible problems using these systems in the near future. Nvidia CEO Jensen Huang said quantum computing is reaching an inflection point, unveiling CUDA-Q to bridge quantum and classical computing systems for real-world problem-solving. Huang described a shift from data centers to “AI factories” that generate intelligent outputs, marking the start of a new industrial era.

Huang said humanoid robots will soon be teachable and affordable for small businesses, not just industrial giants. Nvidia CEO Jensen Huang is turning his attention to the next critical enabler of the artificial intelligence (AI) revolution: quantum computing. Complete the form to unlock this article and enjoy unlimited free access to all PYMNTS content — no additional logins required. NVIDIA’s CEO, Jensen Huang, recently declared that quantum computing is approaching a critical inflection point. This signals a shift towards practical application. Speaking at NVIDIA’s GTC Paris developer conference, Huang stated that quantum computers are now within reach.

They may soon solve complex, real-world problems in the near future. This represents a notably more optimistic outlook from the Nvidia boss, who previously suggested a considerably longer timeframe for the realisation of useful quantum computation. The announcement follows increasing investment in the sector, exemplified by IonQ’s recent $1.1 billion acquisition of Oxford Ionics, and coincides with advancements in error correction techniques, such as Google’s Willow chip. Huang was speaking at a recent NVIDIA GTC event and was reported by CNBC. Jensen Huang, CEO of NVIDIA, now posits that quantum computing is approaching a critical inflection point, signalling a shift towards practical application in the near future. This assessment represents a marked change from his previous, more conservative estimations regarding the timeline for achieving functional quantum computers, having previously suggested a 20-year horizon for substantial progress.

Huang’s evolving perspective follows an acknowledgement that earlier comments regarding the maturity of quantum technology negatively impacted market valuations of key companies in the sector. Investor interest in quantum computing is demonstrably increasing, evidenced by the performance of publicly traded companies such as Rigetti Computing and IonQ. Recent activity includes IonQ’s acquisition of Oxford Ionics for $1.1 billion, and both Rigetti and IonQ experienced pre-market gains following Huang’s latest statements, indicating a positive correlation between industry leader sentiment and stock performance. This heightened investment activity also reflects a growing European quantum computing ecosystem, with Huang noting recent discussions with the French startup Pasqal. The anticipated utility of quantum computers stems from their fundamental difference from classical computers; while the latter store information as bits representing either 0 or 1, quantum computers utilise quantum bits, or qubits. Qubits leverage the principles of quantum mechanics to exist in a superposition, representing 0, 1, or a combination of both simultaneously, enabling the processing of significantly larger datasets.

This capability promises breakthroughs in complex fields including medicine, materials science, and financial modelling, driving both research and commercial investment. NVIDIA is actively developing solutions to bridge the gap between current classical infrastructure and emerging quantum capabilities with its Cuda Q platform. This hybrid approach aims to leverage the strengths of both computing paradigms, allowing developers to integrate quantum algorithms into existing workflows. Furthermore, advancements in error correction, exemplified by Google’s Willow chip, are crucial for stabilising quantum computations and realising the full potential of this technology.

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