NVIDIA has launched NVIDIA Ising, which it describes as the world’s first family of open source quantum Artificial Intelligence models. The models are designed to help researchers and enterprises build quantum processors capable of running useful applications. The release targets a central challenge in quantum computing: making current systems reliable and scalable enough for practical use.
Useful quantum applications at scale require major advances in quantum processor calibration and quantum error correction. NVIDIA presents Artificial Intelligence as a key technology for transforming today’s quantum processors into large-scale, reliable computers. The open source approach is intended to give developers high-performance Artificial Intelligence tools while allowing them to retain full control over their data and infrastructure.
The NVIDIA Ising family is named after a mathematical model associated with simplifying the understanding of complex physical systems. It focuses on quantum error correction and calibration, which are two of the most important problems in hybrid-quantum classical systems. NVIDIA says the Ising models run the world’s best quantum processor calibration and help researchers address much larger, more complex quantum computing problems.
NVIDIA says the models deliver up to 2.5x faster performance and 3x higher accuracy for the decoding process needed for quantum error correction. Those gains are positioned as a way to accelerate progress toward quantum processors that can support useful applications at meaningful scale.
