NVIDIA Announces Open AI Model, Ising, Accelerating the Path to Practical Quantum Computers
NVIDIA has launched the NVIDIA Ising open-source family of quantum AI models to aid in building practical quantum processors. These models offer world-class AI-based quantum processor calibration and achieve quantum error correction decoding up to 2.5x faster and 3x more accurate than conventional methods, accelerating the development of large-scale, reliable quantum computers.
📋 Article Processing Timeline
- 📰 Published: April 15, 2026 at 21:40
- 🔍 Collected: April 15, 2026 at 13:01
- 🤖 AI Analyzed: April 15, 2026 at 18:50 (5h 48m after Collected)
News Summary:
The NVIDIA Ising open model family achieves world-class AI-based quantum processor calibration and delivers quantum error correction decoding up to 2.5x faster and 3x more accurate than conventional methods.
Key quantum-related companies, academic institutions, and research organizations adopting Ising include Academia Sinica, Fermi National Accelerator Laboratory, Harvard John A. Paulson School of Engineering and Applied Sciences, Infleqtion, IQM Quantum Computers, Lawrence Berkeley National Laboratory Advanced Quantum Testbed, and the UK's National Physical Laboratory (NPL).
Santa Clara, California – April 14, 2026 – NVIDIA today announced NVIDIA Ising, an open-source family of quantum AI models to help researchers and companies build quantum processors capable of running practical applications.
Achieving practical quantum applications at scale requires major breakthroughs in quantum processor calibration and quantum error correction. AI is key to evolving today's quantum processors into large-scale, reliable computers. Open models enable developers to build high-performance AI while maintaining full control over their data and infrastructure.
Named after a groundbreaking mathematical model that dramatically simplified the understanding of complex physical systems, the NVIDIA Ising family provides high-performance, scalable AI tools that address the two most critical challenges in building hybrid quantum-classical systems: quantum error correction and calibration.
The Ising models perform world-class quantum processor calibration and achieve up to 2.5x faster and 3x more accurate decoding for quantum error correction, enabling researchers to tackle larger and more complex problems with quantum computers.
"AI is essential to making quantum computing practical," said Jensen Huang, founder and CEO of NVIDIA. "With Ising, AI becomes the control plane — the operating system — for quantum machines, transforming fragile qubits into scalable, reliable quantum GPU systems."
The quantum computing market is projected to exceed $11 billion by 2030, according to analyst firm Resonance. This growth trajectory depends heavily on continued progress in critical engineering challenges such as quantum error correction and scalability.
NVIDIA Ising includes state-of-the-art, customizable models, tools, and data to accelerate quantum processors.
* **Ising Calibration:** A vision-language model that can quickly interpret measurements from quantum processors and react to them. This allows AI agents to automate continuous calibration, reducing the time required from days to hours.
* **Ising Decoding:** Two 3D convolutional neural network models, optimized for speed or accuracy, that perform real-time decoding for quantum error correction. The Ising Decoding models are up to 2.5x faster and 3x more accurate than the current open-source industry standard, pyMatching.
**Ecosystem Adoption**
Leading companies, academic institutions, and research organizations are adopting Ising for quantum computing development.
Ising Calibration is already in use at Atom Computing, Academia Sinica, EeroQ, Conductor Quantum, Fermi National Accelerator Laboratory, Harvard John A. Paulson School of Engineering and Applied Sciences, Infleqtion, IonQ, IQM Quantum Computers, Lawrence Berkeley National Laboratory Advanced Quantum Testbed, Q-CTRL, and the UK's National Physical Laboratory (NPL).
Ising Decoding is being deployed at Cornell University, EdenCode, Infleqtion, IQM Quantum Computers, Quantum Elements, Sandia National Laboratories, SEEQC, University of California San Diego, University of California Santa Barbara, University of Chicago, University of Southern California, and Yonsei University.
Additionally, NVIDIA provides quantum computing workflow guides and training data, as well as NVIDIA NIM™ microservices, allowing developers to fine-tune models for specific hardware architectures and use cases with minimal setup. These models can also be run locally on researchers' systems, protecting sensitive data.
NVIDIA Ising complements the NVIDIA CUDA-Q™ software platform for hybrid quantum and classical computing and integrates with the NVIDIA NVQLink™ QPU-GPU hardware interconnect, which enables real-time control and quantum error correction. This provides researchers and developers with a comprehensive suite of tools needed to evolve today's qubits into tomorrow's high-speed quantum supercomputers.
**Get Started with NVIDIA Open Models**
NVIDIA Ising joins NVIDIA's portfolio of open models, which includes NVIDIA Nemotron™ for agentic systems, NVIDIA Cosmos™ for physical AI, NVIDIA Alpamayo for autonomous vehicles, NVIDIA Isaac™ GR00T for robotics, and NVIDIA BioNeMo™ for biomedical research.
These open models, data, and frameworks are available on GitHub, Hugging Face, and build.nvidia.com.
Watch the special keynote at NVIDIA Quantum Day and listen to an episode of the NVIDIA AI Podcast.
*This announcement is a translation of a press release originally issued on April 14, 2026, US time.*
**About NVIDIA**
NVIDIA (NASDAQ: NVDA) is a world leader in AI and accelerated computing.
The NVIDIA Ising open model family achieves world-class AI-based quantum processor calibration and delivers quantum error correction decoding up to 2.5x faster and 3x more accurate than conventional methods.
Key quantum-related companies, academic institutions, and research organizations adopting Ising include Academia Sinica, Fermi National Accelerator Laboratory, Harvard John A. Paulson School of Engineering and Applied Sciences, Infleqtion, IQM Quantum Computers, Lawrence Berkeley National Laboratory Advanced Quantum Testbed, and the UK's National Physical Laboratory (NPL).
Santa Clara, California – April 14, 2026 – NVIDIA today announced NVIDIA Ising, an open-source family of quantum AI models to help researchers and companies build quantum processors capable of running practical applications.
Achieving practical quantum applications at scale requires major breakthroughs in quantum processor calibration and quantum error correction. AI is key to evolving today's quantum processors into large-scale, reliable computers. Open models enable developers to build high-performance AI while maintaining full control over their data and infrastructure.
Named after a groundbreaking mathematical model that dramatically simplified the understanding of complex physical systems, the NVIDIA Ising family provides high-performance, scalable AI tools that address the two most critical challenges in building hybrid quantum-classical systems: quantum error correction and calibration.
The Ising models perform world-class quantum processor calibration and achieve up to 2.5x faster and 3x more accurate decoding for quantum error correction, enabling researchers to tackle larger and more complex problems with quantum computers.
"AI is essential to making quantum computing practical," said Jensen Huang, founder and CEO of NVIDIA. "With Ising, AI becomes the control plane — the operating system — for quantum machines, transforming fragile qubits into scalable, reliable quantum GPU systems."
The quantum computing market is projected to exceed $11 billion by 2030, according to analyst firm Resonance. This growth trajectory depends heavily on continued progress in critical engineering challenges such as quantum error correction and scalability.
NVIDIA Ising includes state-of-the-art, customizable models, tools, and data to accelerate quantum processors.
* **Ising Calibration:** A vision-language model that can quickly interpret measurements from quantum processors and react to them. This allows AI agents to automate continuous calibration, reducing the time required from days to hours.
* **Ising Decoding:** Two 3D convolutional neural network models, optimized for speed or accuracy, that perform real-time decoding for quantum error correction. The Ising Decoding models are up to 2.5x faster and 3x more accurate than the current open-source industry standard, pyMatching.
**Ecosystem Adoption**
Leading companies, academic institutions, and research organizations are adopting Ising for quantum computing development.
Ising Calibration is already in use at Atom Computing, Academia Sinica, EeroQ, Conductor Quantum, Fermi National Accelerator Laboratory, Harvard John A. Paulson School of Engineering and Applied Sciences, Infleqtion, IonQ, IQM Quantum Computers, Lawrence Berkeley National Laboratory Advanced Quantum Testbed, Q-CTRL, and the UK's National Physical Laboratory (NPL).
Ising Decoding is being deployed at Cornell University, EdenCode, Infleqtion, IQM Quantum Computers, Quantum Elements, Sandia National Laboratories, SEEQC, University of California San Diego, University of California Santa Barbara, University of Chicago, University of Southern California, and Yonsei University.
Additionally, NVIDIA provides quantum computing workflow guides and training data, as well as NVIDIA NIM™ microservices, allowing developers to fine-tune models for specific hardware architectures and use cases with minimal setup. These models can also be run locally on researchers' systems, protecting sensitive data.
NVIDIA Ising complements the NVIDIA CUDA-Q™ software platform for hybrid quantum and classical computing and integrates with the NVIDIA NVQLink™ QPU-GPU hardware interconnect, which enables real-time control and quantum error correction. This provides researchers and developers with a comprehensive suite of tools needed to evolve today's qubits into tomorrow's high-speed quantum supercomputers.
**Get Started with NVIDIA Open Models**
NVIDIA Ising joins NVIDIA's portfolio of open models, which includes NVIDIA Nemotron™ for agentic systems, NVIDIA Cosmos™ for physical AI, NVIDIA Alpamayo for autonomous vehicles, NVIDIA Isaac™ GR00T for robotics, and NVIDIA BioNeMo™ for biomedical research.
These open models, data, and frameworks are available on GitHub, Hugging Face, and build.nvidia.com.
Watch the special keynote at NVIDIA Quantum Day and listen to an episode of the NVIDIA AI Podcast.
*This announcement is a translation of a press release originally issued on April 14, 2026, US time.*
**About NVIDIA**
NVIDIA (NASDAQ: NVDA) is a world leader in AI and accelerated computing.