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NVIDIA/Quantum-Calibration-Agent-Blueprint

SkillsMP has collected 6 skills from NVIDIA/Quantum-Calibration-Agent-Blueprint. Open a skill to review its source and details.

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skills collected
6
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Skills in this repository

2 occupation categories · 100% classified

Showing 6 of 6 collected skills.

occupation
Data Scientists
description

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…

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occupation
Data Scientists
description

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…

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occupation
Software Developers
description

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.

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occupation
Software Developers
description

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…

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occupation
Software Developers
description

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…

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occupation
Software Developers
description

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`…

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Showing 6 of 6 collected skills.