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 NVIDIA Launches Ising, the World’s First Open AI Models to Accelerate the Path to Useful Quantum Computers NVIDIA Ising Delivers Breakthrough Performance in Quantum Calibration and Error Correction, Empowering Researchers and Enterprises to Build Scalable, High-Performance Quantum Systems.
The NVIDIA Ising open model family delivers the world’s best AI-based quantum processor calibration capabilities, as well as quantum error-correction decoding that is up to 2.5x faster and 3x more accurate than traditional approaches.
Leading quantum enterprises, academic institutions and research labs 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’s Advanced Quantum Testbed and the U.K. National Physical Laboratory (NPL).
NVIDIA today announced the world’s first family of open source quantum AI models, NVIDIA Ising, designed to help researchers and enterprises build quantum processors capable of running useful applications.
To achieve useful quantum applications at scale, significant breakthroughs are needed in quantum processor calibration and quantum error correction. AI is key for turning today’s quantum processors into large-scale, reliable computers. Open models empower developers to build high-performance AI while maintaining total control over their data and infrastructure.
Named after a landmark mathematical model that dramatically simplified the understanding of complex physical systems, the NVIDIA Ising family provides high-performance, scalable AI tools for quantum error correction and calibration — two of the most critical challenges in building hybrid-quantum classical systems.
Ising models run the world’s best quantum processor calibration and enable researchers to tackle much larger, more complex problems with quantum computers by delivering up to 2.5x faster performance and 3x higher accuracy for the decoding process needed for quantum error correction.
“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 of quantum machines — transforming fragile qubits to scalable and reliable quantum-GPU systems.”
De Nvidia Newsroom.
El interés de las grandes tecnológicas por la computación cuántica empieza a aumentar, y un mayor flujo de capital así como una carrera tecnología puede acelerar la adopción de dicha tecnología, como ahora está ocurriendo en la IA.
Bank of America estima que para 2030 todas las redes blockchain deben tener actualizadas sus sistemas de criptografía post-cuánticos, haciendo hincapié tanto en aquellas redes que están tardando en acometer los cambios, como el aquellas billeteras inactivas y antiguas, que resultarán del todo vulnerables, con unos 1,7 Millones de BTC expuestos.
¿La computación cuántica llegará antes que la protección, o cogerá a protocolos al descubierto?
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