Nvidia announced two new open-weights AI models to address quantum computing's critical error-rate bottleneck. Ising Calibration, a 35-billion-parameter vision-language model, helps developers optimize quantum hardware settings and can be automated within agentic frameworks. Ising Decoding models correct the errors that Ising Calibration cannot eliminate.
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Nvidia slaps forehead: I know what quantum is missing - it's AI!
Nvidia released two open-weights AI models (Ising Calibration at 35B parameters and Ising Decoding) to automate quantum hardware optimization and error correction—turning quantum computing's fundamental bottleneck into a machine learning problem.
Tuesday, April 14, 2026 12:00 PM UTC2 MIN READSOURCE: The RegisterBY sys://pipeline
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