NVIDIA announced the launch of Ising on April 14 2026. Ising is a family of open‑source quantum AI models designed to accelerate the development of quantum processors by tackling two of the field’s most stubborn challenges: calibration and error correction.
The release includes two core components—Ising Calibration and Ising Decoding. Benchmarks show the models deliver up to 2.5× faster performance and three times higher accuracy than existing industry standards for quantum error correction and calibration, offering a tangible speed‑up for quantum workloads.
By providing high‑performance AI tools for quantum error correction and calibration, NVIDIA is positioning itself as a key infrastructure provider for the emerging quantum industry. The move extends NVIDIA’s full‑stack AI strategy into a new domain, following a “pick‑and‑shovel” approach that has proven successful in AI. NVQLink, NVIDIA’s high‑speed interconnect for quantum processors, further integrates the company’s hardware and software into the quantum ecosystem.
The announcement triggered a broad rally in quantum‑computing stocks. Shares of IonQ, Rigetti, and other firms surged, reflecting investors’ view that NVIDIA’s entry will act as a catalyst for the entire sector. The market reaction underscores the perceived value of NVIDIA’s AI expertise as a control plane for quantum machines.
Management emphasized the strategic importance of the launch. CEO Jensen Huang said, “AI is essential to making quantum computing practical. With Ising, AI becomes the control plane—the operating system of quantum machines—transforming fragile qubits to scalable and reliable quantum‑GPU systems.” Director of quantum product Sam Stanwyck added, “Both of these are targeting the fundamental challenge in quantum computing, which is that qubits are inherently noise. That noise is the fundamental bottleneck standing between today’s quantum hardware and useful applications.”
The Ising release is expected to accelerate adoption across academia and industry. Early adopters include IonQ, Rigetti, and leading research labs such as Harvard University and the U.K. National Physical Laboratory. By lowering the barrier to entry for quantum error correction and calibration, NVIDIA’s open‑source models could spur broader experimentation and, ultimately, new revenue streams for the company as quantum computing matures.
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