University of Kwazulu-Natal

Nvidia S Huang Sees Quantum Computing Reaching Inflection Point Msn

Bonisiwe Shabane
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nvidia s huang sees quantum computing reaching inflection point msn

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. In May of this year I wrote about my belief that Jensen Huang was wrong about the quantum computing timeline, referencing his quote on the stage of CES earlier in the year that “practical...

By June he had reversed course (I’d like to think that was from reading my post, but more likely he had been seeing the same broad signals I was seeing) and at the GPU... Inflection point indeed - the quantum computing landscape has witnessed a dramatic shift over the past few weeks, with Nvidia's venture capital arm NVentures going full throttle on quantum. The AI chipmaker recently placed strategic bets on three distinct quantum hardware platforms: PsiQuantum, Quantinuum, and QuEra. This marks a complete reversal from Jensen Huang's earlier skepticism and signals that the world's most valuable company is now betting big on quantum's commercial timeline The Quantum Leap is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

This change in outlook wasn't just rhetorical—it was backed by serious capital. NVentures' rapid-fire investments in recent weeks represent the chipmaker's first major foray into quantum hardware, demonstrating what a strategic repositioning toward hybrid quantum-classical computing architectures. Nvidia's quantum investment strategy reveals sophisticated thinking about the technology's diverse pathways to commercial viability. Rather than placing a single bet, the company has strategically invested across three fundamentally different quantum computing approaches: Nvidia CEO Jensen Huang seems to have changed his tune about quantum computing. Speaking at Nvidia’s first GTC Paris event this week, he said, “Quantum computing is reaching an inflection point.”

Not that Huang was ever bearish on the subject of quantum computing–after all, his company has partnered with a large portion of the quantum ecosystem since its earliest days–but that simple statement is a... The quantum sector and the stock market to some degree overreacted to that forecast, and Huang in March invited his quantum partners to the company’s GTC Spring to brow-beat him a little about his... Now, Huang sounds full-on bullish, particularly when it comes to the integration of quantum and classical computing resources: “It is clear now we're within reach of being able to apply quantum computing and quantum-classical computing in areas that can solve some interesting problems in the coming years,” he said in Paris. “This is a really exciting time. We've been working with all of the supercomputing centers, and it's very clear now that over the next several years, or at least, with the next generation of supercomputers, every single one of them...

The QPU will do quantum computing, of course, and the GPUs would be used for pre-processing, for control, for error correction, which will be intensely computationally-intensive, post processing and such between the two architectures. Just as we accelerated the CPU, there will be a QPU working with the GPU to enable the next generation of computing.” 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. Get the latest updates delivered to your inbox every day, and stay up-to-date for free 🧠📈 Get the latest updates delivered to your inbox every day, and stay up-to-date for free 🧠📈 Nvidia CEO says quantum computing is at an inflection point

Jensen Huang 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... 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 CEO Sees Quantum Computing Reaching 'Inflection Point' | PYMNTS.com

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. (June 11): Nvidia Corp CEO Jensen Huang said Wednesday that quantum computing is reaching an inflection point and will be powerful enough in the coming years to help “solve some interesting problems” globally.

Quantum computing, which technology companies have been developing for decades, is set to take off with systems rapidly becoming “more robust, higher performance and more resilient”, Huang said during a keynote speech at a... The quantum-computing industry aims to use the unique properties of subatomic particles to process data much faster than traditional semiconductor-based electronics. The technical difficulties and high costs of building practical systems have meant that the field has been stuck in an experimental stage. Companies such as Microsoft Corp and Alphabet Inc’s Google have been trying to find practical uses for quantum systems. Shares of companies developing quantum technology rose in premarket trading on Huang’s comments. US-listed D-Wave Quantum Inc rose about 2% and IonQ Inc increased 3.6%.

Rigetti Computing Inc was up 4.5% and Quantum Computing Inc gained 8.4% before New York exchanges opened. Nvidia’s chips will be used to support quantum computing and the company’s entire quantum algorithm stack will be available and accelerated on its Grace Blackwell 200 chip, Huang said. Quantum computers have the potential to vastly accelerate the operating speed of large language models and create more powerful AI.

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