Shares of listed quantum computing companies pushed higher on Monday after NVIDIA unveiled a new suite of AI models intended to speed development of quantum hardware. Rigetti Computing (NASDAQ:RGTI) led the group with a 12% gain, while IonQ (NYSE:IONQ) climbed 14%, D-Wave Quantum (NYSE:QBTS) added 11% and Quantum Computing (NASDAQ:QUBT) rose 9%.
NVIDIA said the Ising model family offers AI-driven capabilities for quantum processor calibration and for decoding quantum error correction. The company reported that these models can deliver calibration and decoding performance that is up to 2.5x faster and up to 3x more accurate than traditional techniques.
The Ising portfolio is framed around two main models. Ising Calibration is described as a vision language model designed to automate continuous calibration workflows, cutting the time required to tune systems from days to hours. Ising Decoding is characterized as a 3D convolutional neural network tuned for real-time decoding tasks related to quantum error correction.
NVIDIA founder and CEO Jensen Huang emphasized that AI will be necessary to make quantum computing practical, saying Ising effectively turns AI into the control plane for quantum machines and helps convert fragile qubits into more scalable and reliable quantum-GPU systems.
According to NVIDIA, the Ising models are already being adopted by a range of leading quantum enterprises and research institutions. Named adopters include Academia Sinica, Fermi National Accelerator Laboratory, Harvard John A. Paulson School of Engineering and Applied Sciences, Infleqtion, IQM Quantum Computers, and Lawrence Berkeley National Laboratory's Advanced Quantum Testbed. NVIDIA also noted that IonQ has begun using Ising Calibration.
The company positioned Ising as complementary to its existing quantum-classical software and hardware stack. NVIDIA said Ising works alongside the CUDA-Q software platform for hybrid quantum-classical computing and integrates with the NVQLink QPU-GPU interconnect to support real-time control and quantum error correction.
Industry forecasts cited in the announcement project the quantum computing market to exceed $11 billion by 2030, with that trajectory dependent on progress toward solutions for engineering challenges such as error correction and scalability. NVIDIA presented Ising as a toolset intended to help researchers and enterprises address those technical hurdles.
Context note: The market movements reported above occurred on the Monday when NVIDIA announced the Ising models, and the technical claims and adoption details were described by NVIDIA in its announcement.