Alterlab Qiskit
Skill Verified ActivePart of the AlterLab Academic Skills suite. IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.
To enable users to leverage IBM's Qiskit quantum computing framework for research and development, targeting IBM Quantum hardware and Qiskit Runtime for production workloads.
Features
- Build quantum circuits with gates and measurements
- Transpile and optimize circuits for hardware
- Execute circuits on local simulators or IBM Quantum hardware
- Visualize circuits, results, and quantum states
- Access Qiskit algorithm libraries for optimization, chemistry, and ML
Use Cases
- Targeting IBM Quantum hardware for quantum computations
- Working with Qiskit Runtime for production workloads
- Leveraging IBM's quantum optimization tools
- Implementing quantum algorithms for research in chemistry, ML, or optimization
Non-Goals
- Using other quantum frameworks like Cirq or PennyLane
- Focusing on open quantum system simulations (use QuTiP)
- Providing general-purpose Python programming assistance
Execution
- info:Pinned dependenciesThe installation uses `uv pip install`, which is a modern package manager but does not explicitly guarantee pinned dependencies or a lockfile within the skill's context. Qiskit itself manages its dependencies.
Installation
npx skills add AlterLab-IEU/AlterLab-Academic-SkillsRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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