Just one year after a bearish pronouncement from Nvidia Corp. (NASDAQ: NVDA) CEO Jensen Huang sent shares of quantum computing startups into a historic selloff, the world’s most valuable chipmaker has executed a dramatic U-turn, launching a landmark AI-powered product that has upended the quantum computing sector and reignited massive investor enthusiasm for the space.
The dramatic reversal traces back to the 2025 Consumer Electronics Show (CES), where Huang publicly stated that the industry was likely 15 to 30 years away from building “very useful quantum computers.” The remark triggered an immediate collapse in quantum computing stocks: IonQ (NYSE: IONQ) plummeted 39% in a single trading day, Rigetti Computing (NASDAQ: RGTI) tumbled 45%, and the broader quantum sector suffered a sweeping market rout. Alan Baratz, CEO of D-Wave Quantum (NYSE: QBTS), fired back in a LinkedIn post, saying Huang “has a misunderstanding of quantum” and that his “comments are just the latest in a string of misinformation.” Yet Baratz struck a conciliatory, and ultimately prescient, closing note, highlighting the “massive potential for AI and quantum to work together in advancing the limitations of today’s classical computing capabilities” and welcoming the chance to “partner with companies like NVIDIA in exploring what’s possible when QPUs and GPUs come together.”
That vision became reality this year, with Nvidia’s official launch of Ising, an open-source, AI-driven model designed to address the core bottleneck holding back quantum computing’s mainstream adoption. For years, quantum technology has remained largely confined to universities and research labs, stymied by the lack of a universal infrastructure that allows non-experts to access and use the technology directly. The dynamic mirrors the early days of the internet, which was limited to academic and government research groups from the early 1970s until the 1982 introduction of the Internet Protocol Suite (TCP/IP) created a global, standardized framework that paved the way for worldwide scaling and mainstream adoption by the mid-1990s. With Ising, Nvidia is aiming to build that same foundational, industry-wide standard for quantum computing.
Nvidia’s quantum push is not an entirely new endeavor. The company rolled out its hybrid quantum-classical computing platform CUDA-Q in 2022, with both IonQ and Rigetti already forging deep partnerships on the platform. Ising represents a major step forward in that roadmap, with its AI-native, open-source architecture designed to help build quantum processors capable of running useful, real-world applications. “With Ising, AI becomes the control plane — the operating system of quantum machines — transforming fragile qubits to scalable and reliable quantum-GPU systems,” Huang said in the official press release announcing the model’s launch.
Huang’s shift in tone on quantum computing’s timeline has been remarkably swift. By June 2025, he walked back his 15-to-30-year projection, declaring that quantum computing was nearing an “inflection point” — a stance that culminated in this year’s full-fledged product launch. Notably, his core conviction about quantum computing’s operational requirements has never wavered: he has long maintained that quantum computers cannot function or be programmed in isolation, and require paired classical computing infrastructure to operate effectively. That core principle plays directly to Nvidia’s unmatched strength as the global leader in AI chips and classical accelerated computing. Whether driven by a genuine belief in the technology’s nearing commercialization or a clear-eyed view of the sector’s revenue potential, partnering with quantum startups remains central to Nvidia’s strategy.
Nvidia’s entry into the quantum space has delivered a dual windfall for the startup ecosystem. In an immediate reversal of the 2025 selloff, Ising’s launch sent quantum stocks soaring: Rigetti jumped 13.3% in a single day, IonQ surged 21%, and D-Wave climbed 22.6%. Beyond the market rally, Nvidia’s backing has meaningfully shifted the competitive landscape for these startups. Deep-pocketed tech giants including Alphabet Inc. and International Business Machines Corp. (IBM) have long vied for dominance in the quantum computing market, leaving small startups at a steep structural disadvantage. With Nvidia providing AI-powered infrastructure and a universal industry framework that these firms could not build on their own, the odds of long-term success for quantum startups have risen dramatically.
Huang’s stunning about-face marks a defining moment for the quantum computing industry, as the convergence of AI and quantum technology moves from a theoretical promise to a tangible, market-shaping reality.
