NVIDIA Ising Enables Fully Automated Quantum Computer Calibration with Enhanced In-Context Learning | NVIDIA Technical Blog

What this post added

Introduces NVIDIA Ising Calibration 1.5, a 31B-parameter vision language model for diagnosing and tuning quantum processors. Highlights its NVFP4-quantized version for single GPU or NVIDIA DGX Spark deployment, an 11.4% reduction in model size at BF16 precision, and training on diverse qubit modalities. Details its evaluation using the QCalEval benchmark, showcasing state-of-the-art zero-shot and in-context learning performance. Mentions availability of full-parameter checkpoints, quantized versions, open datasets, and deployment blueprints under the OpenMDW License, with optimized tokens per second throughput on NVIDIA DGX Spark and integration support through the NVIDIA Nemo Agent Toolkit for automated quantum calibration workflows.