qaoa

Official

Master 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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