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NVIDIA Ising

Open models, tools, and cookbooks for quantum computing — from device calibration to error correction.

License: Apache 2.0 Contributions Welcome Hugging Face

This repository is the central landing page for the NVIDIA Ising family of quantum computing tools, models, and cookbooks. For code, see the repositories below.


Table of Contents


Models

The Ising model family is available on Hugging Face:

Model Description Link
Ising-Calibration-1-35B-A3B Vision-language model for quantum device calibration HuggingFace
Ising-Decoder-SurfaceCode-1-Accurate AI predecoder for surface code quantum error correction (1.79M params) HuggingFace
Ising-Decoder-SurfaceCode-1-Fast AI predecoder for surface code quantum error correction (0.91M params) HuggingFace

Browse the full collection: NVIDIA Ising Collection on Hugging Face


NIMs

NIM Description
Ising-Calibration-1-35B-A3B Ready to deploy NIM for Ising-Calibration-1

Model API Endpoint

API Description
Ising-Calibration-1-35B-A3B Build.nvidia.com for Ising-Calibration-1 API endpoint

Datasets

Dataset Description Link
QCalEval Evaluation dataset for quantum calibration agents HuggingFace

Repositories

Repository Description
Ising-Decoding Training Framework for AI Decoding
Quantum Calibration Agent Blueprint Agentic workflow blueprint for Quantum Comptuer Calibration VLMs
QCalEval Open benchmark for assessing VLM capabilities on quantum calibration experiment analysis

Cookbooks

Practical guides and tutorials organized by repository:

Guide Description
Ising-Decoder-Tutorial Training, Optimized Inference, Quantizing an AI Pre-decoder
Quantum Calibration Agent Documentation Documentation to get started with an agentic workflow for quantum computer calibration

Issues & Support

This repository is the central place to file issues across the NVIDIA Ising family:

For security vulnerabilities, do not file a public issue — see SECURITY.md.


License

Apache 2.0 — see LICENSE for details.


Open models, tools, and cookbooks for quantum computing — from device calibration to error correction.

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A model family accelerating the development of useful quantum computers

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