# Simple Quantum-Inspired Optimization A.md

Simple Quantum-Inspired Optimization API

This is a simple API that demonstrates quantum-inspired optimization using the Quantum Approximate Optimization Algorithm (QAOA) to solve the MaxCut problem. It uses Qiskit for quantum circuit simulation and FastAPI for creating the API.

Getting Started

1. Clone the repository: git clone https://github.com/kyoo-log/QIOS.git (replace with your repo URL)
2. Create a virtual environment (recommended): python -m venv .venv
3. Activate the virtual environment:
   • Windows: .venv\Scripts\activate
   • macOS/Linux: source .venv/bin/activate
4. Install dependencies: pip install -r requirements.txt
5. Run the API: uvicorn main:app --reload

Usage

Send a POST request to /max_cut with a JSON payload containing the adjacency matrix of the graph and the number of QAOA layers (p).

Example Request:

{
  "graph": [[0, 1, 1], [1, 0, 1], [1, 1, 0]],
  "p": 2
}