Nvidia S Ceo Huang Declares Quantum Is Within Reach Tipranks

Bonisiwe Shabane

-Jan 2, 2026, 8:39 AM

nvidia s ceo huang declares quantum is within reach tipranks

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, 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.

A wave of investor optimism swept the tech sector on Wednesday after Nvidia CEO Jensen Huang declared that quantum computing is reaching an “inflection point.” Speaking at Nvidia’s GTC conference in Paris on Wednesday, Huang said quantum systems are approaching the stage where they can begin solving meaningful real-world problems, triggering a sharp rally in quantum-related stocks. Quantum Computing Inc. soared over 32 percent in early trading, reaching $18.99 after gaining $3.86. Rigetti Computing followed with a jump of more than 17 percent, while IonQ shares climbed 7 percent. The surge reflected renewed investor enthusiasm, with Nvidia’s bullish tone seen as a strong endorsement of the technology’s near-term potential.

Notably, in March, Huang had told analysts that truly useful quantum machines might still be 15 years away, a statement that sent the same stocks into a tailspin. On Wednesday, however, he acknowledged that his previous comments had underestimated the pace of progress. Now, Huang believes we are “within reach” of applying quantum systems to challenges across sectors such as cryptography, financial modeling, and drug discovery. During his keynote, Huang also highlighted Nvidia’s Cuda Q, a hybrid platform that bridges classical and quantum computing. He noted its growing importance as quantum advances remain uneven, with full-scale quantum systems still facing challenges like error correction and qubit stability. 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.

Nvidia S Ceo Huang Declares Quantum Is Within Reach Tipranks

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