NVIDIA/Quantum-Calibration-Agent-Blueprint

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저장소 README

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# Quantum Calibration Agent Blueprint ![Python 3.11+](https://img.shields.io/badge/Python-3.11+-blue.svg) ![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg) 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. ![Web UI](docs/latest/_static/images/usage/web-ui-overview.png) *The Web UI provides a chat interface for natural language interaction with the calibration agent.* ![CLI Interface](docs/latest/_static/images/usage/cli-banner.png) *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](https://build.nvidia.com/) (default) - [Anthropic](https://console.anthropic.com/) - [OpenAI](https://platform.openai.com/) ### Installation ```bash # 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/bin/activate # Windows: .venv\Scripts\activate pip install -e . # Install UI dependencies cd ui && npm install && cd .. # Configure environment cp .env.example .env # Edit .env and add your API key (choose one): # NVIDIA_API_KEY=nvapi-your-key-here # ANTHROPIC_API_KEY=sk-ant-your-key-here # OPENAI_API_KEY=sk-your-key-here ``` ### Running QCA **Option 1: Full System (Backend + Web UI)** ```bash # Terminal 1 - Start Backend qca serve # Terminal 2 - Start Web UI cd ui && npm run dev ``` Open http://localhost:3000 in your browser. **Option 2: CLI Only** ```bash qca ``` **Option 3: Non-Interactive Commands** ```bash qca experiments list qca experiments run t1_measurement qca workflow list ``` ## Key Features - **Interactive TUI**: Rich terminal interface for conversational experiment management - **Web UI**: Browser-based chat interface with experiment visualization - **CLI Commands**: Direct command-line access to all functionality - **Experiment Scripts**: Write Python experiments with automatic parameter discovery - **Workflow Engine**: JSON-based workflow definitions with state tracking - **VLM Integration**: Analyze plots and experimental data visually - **History Tracking**: Complete experiment history with SQLite indexing ## CLI Commands ### Main Commands | Command | Description | |---------|-------------| | `qca` | Launch interactive TUI (default) | | `qca serve` | Start the backend server | | `qca -n "prompt"` | Run single prompt non-interactively | | `qca -r <thread_id>` | Resume previous conversation | ### Experiment Management | Command | Description | |---------|-------------| | `qca experiments list` | List all available experiments | | `qca experiments schema <name>` | Show experiment parameter schema | | `qca experiments run <name>` | Execute an experiment | ### Workflow Management | Command | Description | |---------|-------------| | `qca workflow list` | List all workflows | | `qca workflow show <id>` | Display workflow definition | | `qca workflow status <id>` | Check runtime progress | ### History and Data | Command | Description | |---------|-------------| | `qca history list` | List past experiment executions | | `qca history show <id>` | Show detailed experiment results | | `qca data arrays <id>` | List arrays stored in experiment | ## Documentation Full documentation is available in the `docs/` directory: ```bash pip install -e ".[docs]" cd docs && make html # Open docs/_build/html/index.html ``` ## Development ```bash # Install with test dependencies pip install -e ".[test]" # Run tests pytest # Run with coverage pytest --cov=core --cov=tools ``` ## License [Apache License 2.0](LICENSE) - Copyright 2026 NVIDIA Corporation

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analysis-scripts

데이터 과학자

Write and run Python scripts to analyze quantum experiment data stored in HDF5 files. Use when the user asks to analyze experiment results, fit peaks or curves, extract features from measurement arrays, or when reusable analysis logic should be saved…

원문 언어: 영어

2026-04-20

experiment-execution

데이터 과학자

Reference guide for running individual quantum calibration experiments and interpreting their results. Use when the user asks to run a single experiment (e.g. resonator spectroscopy, qubit spectroscopy, T1, T2), inspect experiment plots with the VLM, or query…

원문 언어: 영어

2026-04-20

vlm-configuration

소프트웨어 개발자

Configure the Vision Language Model (VLM) used for analyzing experiment plots. Use when the user asks to change the VLM provider or model, adjust temperature or max_tokens, enable or disable thinking mode, or troubleshoot VLM-related behavior in config.yaml.

원문 언어: 영어

2026-04-20

workflow-execution

소프트웨어 개발자

Execute a previously planned calibration workflow node by node, tracking progress and handling failures. Use when the user asks to run, resume, or continue an existing workflow, or to execute a sequence of calibration steps that has already been defined in…

원문 언어: 영어

2026-04-20

workflow-planning

소프트웨어 개발자

Plan a new calibration workflow by discussing experiment sequences, success/failure criteria, and extracted parameters with the user before any files are created. Use when the user asks to plan, design, or create a new calibration sequence, or to build a…

원문 언어: 영어

2026-04-20

writing-experiment-scripts

소프트웨어 개발자

Author new experiment scripts that are compatible with the lab system's auto-discovery. Use when the user asks to create a new experiment type, add a custom measurement, or write a Python script that should be discoverable via the `lab` and `run_experiment`…

원문 언어: 영어

2026-04-20

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