Nvidia launches Ising, first open-source quantum AI model family

Nvidia (NVDA) 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. 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 2.5 times faster performance and 3 times higher accuracy for the decoding process needed for quantum error correction, the company said. Nvidia added that Nvidia Ising complements the Nvidia CUDA-Q software platform for hybrid quantum-classical computing and integrates with the Nvidia NVQLink QPU-GPU hardware interconnect for real-time control and quantum error correction, providing researchers and developers with a full suite of tools needed to “turn today’s qubits into tomorrow’s accelerated quantum supercomputers.”

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