Nvidia has released Ising, a family of open-source AI models for quantum processor calibration and real-time error correction decoding. Integrated with Nvidia's CUDA-Q quantum software platform and the NVQLink QPU-GPU interconnect, which was first introduced last October, the Ising models have been released on GitHub, Hugging Face, and build.nvidia.com.
Nvidia has designed Ising specifically to target two bottlenecks that exist between current quantum hardware and fault-tolerant computing: calibration and decoding. The former is the manual process a QPU so that its qubits behave consistently, while the latter translates redundant measurements from an error-corrected logical qubit into a correction signal, and it only works if it keeps pace with the rate at which new errors appear on the processor.
