University of Kwazulu-Natal

Nvidia Ceo Forecasts 15 30 Year Timeline For Useful Deepnewz

Bonisiwe Shabane
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nvidia ceo forecasts 15 30 year timeline for useful deepnewz

But it is the Arabs who should redraw them, not Israel. Good morning heroes! Making my first cup of coffee and thinking about breakfast. Only two working days till Monday! An entrepreneur never rests. How #Nvidia CEO #JensenHuang's one comment cost quantum computing companies almost $8 billion

AI can help discover new materials, but we’ll need quantum computers to really move the needle. On January 8, Nvidia CEO Jensen Huang jolted the stock market by saying that practical quantum computing is still 15 to 30 years away, at the same time suggesting those computers will need Nvidia... However, history shows that brilliant people are not immune to making mistakes. Huang’s predictions miss the mark, both on the timeline for useful quantum computing and on the role his company’s technology will play in that future. I’ve been closely following developments in quantum computing as an investor, and it’s clear to me that it is rapidly converging on utility. Last year, Google’s Willow device demonstrated that there is a promising pathway to scaling up to bigger and bigger computers.

It showed that errors can be reduced exponentially as the number of quantum bits, or qubits, increases. It also ran a benchmark test in under five minutes that would take one of today’s fastest supercomputers 10 septillion years. While too small to be commercially useful with known algorithms, Willow shows that quantum supremacy (executing a task that is effectively impossible for any classical computer to handle in a reasonable amount of time)... For example, PsiQuantum, a startup my company is invested in, is set to break ground on two quantum computers that will enter commercial service before the end of this decade. The plan is for each one to be 10 thousand times the size of Willow, big enough to tackle important questions about materials, drugs, and the quantum aspects of nature. These computers will not use GPUs to implement error correction.

Rather, they will have custom hardware, operating at speeds that would be impossible with Nvidia hardware. “Very useful quantum computers are still a few decades away,” Nvidia CEO Jensen Huang said during a keynote presentation at the 2025 Consumer Electronics Show (CES) in Las Vegas last week. His comment sent shockwaves through the quantum computing industry, with shares of leading companies like Rigetti Computing, D-Wave Quantum and IonQ plummeting between 30 and 50 percent. These companies’ CEOs were quick to defend their industry in a bid to win back investor confidence. By clicking submit, you agree to our <a href="http://observermedia.com/terms">terms of service</a> and acknowledge we may use your information to send you emails, product samples, and promotions on this website and other properties. You can opt out anytime.

“Jensen Huang has a misunderstanding of quantum. He is ‘dead wrong’ about D-Wave,” Alan Baratz, CEO of D-Wave Quantum, which develops quantum computing systems, told Observer. “There is more than one approach to building a quantum computer. Our (D-Wave) systems are performing scientific computations on important problems that are not solvable by even massively parallel GPU systems.” D-Wave uses quantum annealing, an approach that excels in solving specific computational optimization problems. This method is particularly useful for materials simulation, scheduling and logistics applications. “Commercial quantum computing is already here,” Baratz added.

For example, Canada-based Pattison Food Group reduced an 80-hour scheduling task to 15 hours using D-Wave’s technology. Another client, NTT DOCOMO, Japan’s largest telecom provider, slashed the time to optimize network resources from 27 hours to just 40 seconds. Quantum computing CEOs are also talking up their companies’ revenue and profit prospects. D-Wave estimated its 2024 sales jumped 120 percent from the previous year. IonQ, which makes quantum computers, predicts it will turn a profit on more than $1 billion in sales by 2030, CEO Peter Chapman wrote in a blog post on Jan. 10.

Quantum computing relies on qubits—units of data that can exist in multiple states at once—and holds the potential to quickly solve calculations that would take even supercomputers a thousand years. Exciting recent developments include Google’s Willow chip, which solved a random circuit sampling (RCS) benchmark problem in just five minutes. RCS, one of the most challenging benchmarks for quantum computers, would take today’s fastest supercomputer 10 septillion years (1 followed by 24 zeros) to solve, Google claims. At NVIDIA’s GTC 2025 conference, CEO Jensen Huang dramatically shifted the narrative on quantum computing. Once predicting that “useful” quantum computing was 15–30 years away—a view that had sent publicly traded quantum stocks crashing—Huang now suggests that widespread adoption of humanoid robots powered by quantum advances could be just... Quantum Computing: Four Waves of Evolution During his keynote, Huang outlined a roadmap for AI evolution that includes four waves:

Perception AI: Emerging about a decade ago, focusing on basic tasks such as speech recognition. Generative AI: Dominating the past five years with innovations in text and image creation. Agentic AI: The current phase, characterized by autonomous decision-making and complex reasoning. Physical AI: The future frontier, set to drive real-world applications like humanoid robots in manufacturing and beyond. Huang emphasized that quantum computers, which harness qubits operating in probabilistic states unlike classical bits, are poised to revolutionize how complex problems—from cryptography to logistics optimization—are solved. This marks a significant departure from his earlier skepticism, as he laughed off his previous comments and challenged industry leaders on stage.

Industry Panel Insights Huang hosted two panels featuring representatives from 12 quantum computing companies, including IonQ and D-Wave Quantum Inc. The discussions revealed a range of perspectives: Some panelists highlighted quantum applications already making an impact in drug discovery, materials development, and financial forecasting. Others, like Loïc Henriet (CEO of Pasqal) and Peter Chapman (CEO of IonQ), underscored that quantum systems will complement classical computers as powerful accelerators rather than full-fledged standalone systems. Huang acknowledged the rapid scaling of quantum computing, stating, “Quantum computing is scaling a lot faster than classical computing did.” He closed the panels on an upbeat note, remarking that if his previous assumptions... At closing:

Nvidia CEO Jensen Huang says useful quantum computers are still 15 to 30 years away. The technology is still be researched, but is believed to have the potential to transform computing. Why are useful quantum computers 15-to-30 years away? I just wonder if this prediction might be a bit optimistic. My personal view being with different aspects: When Nvidia CEO stated so, he likely meant that it will take decades before quantum computers achieve a level of performance, error correction (self-resilience), reliability, and scalability to solve practical, real-world problems that classical...

To the best of my knowledge, here’s how one may understand the statement: A. “Useful Quantum Computers”, current Status: Quantum computing stocks have taken a significant hit following Nvidia CEO Jensen Huang's remarks that 'very useful' quantum computers are still 15 to 30 years away from being practical. Huang's statement, made during an analyst meeting, caused stocks of key players in the sector, including IonQ, Rigetti Computing, and D-Wave Quantum, to plunge by nearly 50%. Despite previous optimism fueled by Google’s recent advancements with its Willow chip, which demonstrated rapid computational capabilities, investors are now reassessing their expectations for the technology's timeline.

Huang underscored the substantial challenges that remain in developing stable and scalable quantum systems, suggesting that classical computing will continue to play a vital role in the interim. The downturn reflects a broader caution in the market, erasing over $2 billion in market capitalization for the quantum computing sector. Nvidia remains committed to being a major player in advancing quantum technology despite the bleak forecast. Analyze and predict thedevelopment of events Get the latest news, exclusive insights, and curated content delivered straight to your inbox. The perfect gift for understanding news from all angles.

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