
Qiskit Quantum ML Reference
Gives the agent qiskit 2.x patterns for variational quantum classifiers, VQE chemistry and noise models
- Repository
- aiming-lab/AutoResearchClaw
- Stars
- 14,802
- Licence
- MIT
- Files
- 1 file
What it does
This skill is a reference guide that teaches an AI agent how to write Python code using IBM's Qiskit quantum computing libraries, specifically the current 2.x versions. Once installed, the agent knows the correct function names, data-encoding circuits, variational classifier training, and chemistry simulation patterns, and avoids common migration errors from older Qiskit versions. It is a coding aid, not a quantum computer or a running service.
Great for
- Researchers building quantum machine learning experiments in Python with Qiskit
- Developers porting older Qiskit 1.x VQE or VQC code to Qiskit 2.x
- Students learning how variational quantum circuits and feature maps are structured
Skip it if
- People who only want to run quantum computations without writing code, since it only guides code generation
- Non-Qiskit quantum frameworks such as Cirq or PennyLane, which the skill does not cover
- Production use without review, because the code patterns are not verified against a live Qiskit install in the file itself
Try asking
- “Write a variational quantum classifier in qiskit_machine_learning using a ZZ feature map and EfficientSU2 ansatz”
- “Create a VQE script that computes the ground-state energy of H2 at a given bond length with PySCF”
- “Add a depolarizing noise model to my Qiskit Aer simulation and compare results”
- “Fix my import error after upgrading from qiskit 1.x to 2.x VQE code”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 1 original files, the MIT licence and an attribution note.
quantum-qiskit.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip quantum-qiskit.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip quantum-qiskit.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Ask for a specific task such as a VQC or VQE script so the agent loads the relevant section rather than generic quantum advice.
- Run any generated code yourself in a virtual environment, since the agent may write scripts that install or execute quantum libraries.
- Check the Qiskit version you have installed, because the skill targets 2.x and its import rules differ from 1.x.
What's inside
- SKILL.md
Redistributed unmodified from aiming-lab/AutoResearchClaw under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.