Project Enigma is a blueprint for a next-generation AI platform that can intelligently leverage quantum computation. It is not a quantum computer; it is a sovereign Quantum Operating System that wraps noisy, complex quantum hardware in an intelligent AGI layer.
This architecture is designed to mitigate the core limitations of 2025-era quantum computers, making them robust, accessible, and powerful for real-world problems.
| Limitation of IBM Quantum (2025) | How Project Enigma Solves It |
|---|---|
| Noise & Decoherence | A HONet library of ErrorCorrectionOctaves learns the specific noise profile of the hardware and applies adaptive error correction. |
| Complexity & Accessibility | The Meta-Mind (LLM) acts as a "Quantum Compiler," translating high-level user goals (e.g., "factor 15") into the correct quantum algorithm and parameters. No physics PhD required. |
| Inefficiency & Static Compilation | A library of CircuitOptimizerOctaves learns to compile algorithms into the most efficient possible circuits for the specific hardware's topology. |
| Limited Scope | The Agentic Planner can solve complex problems that require both classical and quantum steps, orchestrating the entire workflow. |
This demo simulates Enigma receiving a factoring problem, planning to use Shor's algorithm, and executing it on a classical quantum simulator (Qiskit).
- Download and install Ollama from https://ollama.com/.
- Pull a powerful model to act as the Meta-Mind:
ollama pull llama3 - Ensure the Ollama server is running in the background.
- Clone this repository and set up the Python environment:
git clone https://github.com/your-username/Project-Enigma.git cd Project-Enigma python -m venv venv && source venv/bin/activate
- Install the dependencies:
pip install -r requirements.txt
Run this script to create the placeholder files for the foundational quantum skills in the HONet library.
python educate.py