Quantum Calibration Agent Blueprint
Description
This is a reference agent blueprint for AI-powered quantum device calibration. It provides an intelligent agent interface for discovering, executing, and analyzing quantum calibration experiments with support for automated workflows and vision-based analysis.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Quantum Calibration Agent Blueprint
 
Part of [NVIDIA Ising](https://github.com/NVIDIA/Ising). This is a reference agent blueprint for AI-powered quantum device calibration. It provides an intelligent agent interface for discovering, executing, and analyzing quantum calibration experiments with support for automated workflows and vision-based analysis.
 *The Web UI provides a chat interface for natural language interaction with the calibration agent.*
 *The CLI provides a terminal-based interface for quantum calibration experiments.*
What is this?
This is a reference agent blueprint for quantum device calibration that combines:
- Intelligent Experiment Discovery: Automatically find and understand available quantum calibration experiments
- AI-Driven Execution: Run experiments through natural language commands or structured workflows
- Visual Analysis: Inspect plots and data using vision language models (VLMs)
- Workflow Automation: Execute complex multi-step calibration sequences with built-in validation
- Smart Data Management: Store and retrieve experiment results with HDF5 and SQLite
The agent supports multiple LLM providers including NVIDIA, Anthropic, and OpenAI.
Quick Start
Prerequisites
- Python 3.11+
- Node.js 18+ and npm 9+ (for Web UI)
- API Key from one of the supported providers:
- NVIDIA API Catalog (default)
- Anthropic
- OpenAI
Installation
# Clone repository
git clone https://github.com/NVIDIA/Quantum-Calibration-Agent-Blueprint.git
cd Quantum-Calibration-Agent-Blueprint
# Set up Python environment
python -m venv .venv
source .venv/bi
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