qaoa
OfficialMaster QAOA for Max-Cut with a hybrid workflow.
Authorunitarylab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill helps users understand, implement, and apply the Quantum Approximate Optimization Algorithm (QAOA) to Max-Cut problems, bridging theory and runnable code through a structured workflow.
Core Features & Use Cases
- Hybrid quantum-classical optimization: builds and runs QAOA circuits with configurable depth p on a given graph.
- End-to-end workflow: cost Hamiltonian construction, circuit mapping, COBYLA optimization, and result decoding/export.
- Educational and prototyping use: suitable for learning, experimentation, and evaluating QAOA performance on small graphs.
Quick Start
Run the provided script to execute a QAOA Max-Cut example on a 6-node graph.
Dependency Matrix
Required Modules
unitarylab
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: qaoa Download link: https://github.com/unitarylab/quantum-skills/archive/main.zip#qaoa Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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