QuantumAI Framework

Enterprise-grade framework for quantum-enhanced AI and AGI, integrating next-generation quantum computing with advanced machine intelligence.

Vision

QuantumAI aims to create a seamless fusion between quantum computing and deep learning to unlock AI capabilities beyond classical limitations, while maintaining industrial-grade security and ethical considerations.

Core Features

Quantum-Classical Hybrid Neural Networks
Multi-Modal Learning with Quantum Enhancement
Post-Quantum Cryptography Security
AGI Development Framework
Hardware Abstraction Layer for Multiple Quantum Backends

Installation

poetry install

Quick Start

from quantumai.q_fabric import QuantumCircuit
from quantumai.ai_engine import HybridNetwork

# Initialize quantum circuit
qc = QuantumCircuit()

# Create hybrid network
model = HybridNetwork()

Documentation

See the docs/ directory for detailed documentation.

Security

All AGI components are sandboxed and require cryptographic signatures for execution.

License

QuantumAI 🧠⚛️

The future of AI is Quantum - Core framework combining Quantum Computing and AI

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Directory Structure

app/
    api/        # FastAPI endpoints
    core/       # Core quantum computing logic
    dao/        # Data access layer
    models/     # Data models
    services/   # Business logic
    utils/      # Helpers and utilities
contracts/      # Smart contracts for licensing
docs/          # Documentation
frontend/      # React-based UI
notebooks/     # Jupyter notebooks
scripts/       # Utility scripts  
src/           # Core quantum-AI implementation
test/          # Test suite

Quick Links

🚀 About QuantumAI

QuantumAI is a proprietary AI-Quantum computing framework that enhances machine learning algorithms with quantum-powered optimizations. This project is designed for serious researchers, AI engineers, and enterprises seeking to leverage quantum-enhanced AI models.

🔒 Commercial usage requires a paid license. See LICENSE.md for terms.

✨ Key Features

✅ Quantum-enhanced neural networks – Unlock AI capabilities beyond classical computing.
✅ Hybrid Classical-Quantum Optimization – Combines classical deep learning with quantum optimization.
✅ Quantum Feature Mapping – Transform classical data into quantum states for superior efficiency.
✅ Multi-Quantum Hardware Support – Compatible with IBM Q, Rigetti, Google Quantum AI, IonQ, and more.
✅ FastAPI-Powered API – Expose quantum models via RESTful API & WebSockets.
✅ Built-in Quantum ML Benchmarking – Evaluate classical vs. quantum performance.

🛠️ Prerequisites

To run QuantumAI, ensure you have the following:

Required

🔹 Python 3.9+
🔹 Poetry (Dependency manager)
🔹 gcc/g++ (For compiling core components)

Optional (For CUDA Acceleration)

🔹 NVIDIA CUDA – For faster deep learning computations
🔹 cuQuantum SDK – Optimized quantum circuit simulations

Important Version Constraints

numpy == 1.23.5
pennylane == 0.31.0

🔧 Installation

1️⃣ Install System Dependencies (Ubuntu/Debian)

sudo apt-get update
sudo apt-get install python3-dev build-essential gcc g++

2️⃣ Install QuantumAI with Poetry

poetry config virtualenvs.in-project true
poetry install --no-cache

🛠️ Troubleshooting: NumPy Issues?

poetry run pip install --no-cache-dir numpy==1.23.5
poetry install

🚀 Usage

Start the API Server

poetry run uvicorn quantum_ai.api.main:app --reload

Run Quantum Workloads

from quantum_ai.circuits import QuantumCircuit
qc = QuantumCircuit()
qc.run()

🧪 Testing

Run the test suite:

poetry run pytest

🏗️ Architecture

QuantumAI follows a modular architecture, ensuring extensibility and seamless integration of quantum and classical AI models.

📂 quantum_ai/circuits/

Gate-based quantum circuits
Variational quantum algorithms

📂 quantum_ai/api/

FastAPI-based REST API
WebSocket support for real-time quantum inference

📂 quantum_ai/embeddings/

Quantum Feature Mapping
Hybrid classical-quantum embeddings

📂 quantum_ai/training/

Quantum-enhanced neural networks
Hybrid QML optimizers

🔥 Roadmap

🚀 Q1 2025: Quantum GANs – Generative adversarial networks powered by quantum sampling.
🚀 Q2 2025: Quantum NLP – Explore quantum-enhanced natural language processing.
🚀 Q3 2025: Federated Quantum Learning – Secure, decentralized AI training.

📜 Full Roadmap

🤝 Contributing

🔹 Fork the Repository
🔹 Create a Feature Branch
🔹 Run Tests Before Submitting PRs
🔹 Submit a Pull Request with Detailed Notes

📜 Documentation

📘 API Docs: http://localhost:8000/docs
📘 Architecture Overview
📘 Development Guide

🔒 License

QuantumAI is licensed under the QuantumAI Proprietary License (QPL v1.1).

⚠️ This software is NOT open-source. Commercial use requires a paid license.

📜 Read Full Terms: LICENSE.md

🚀 Support & Contact

📧 Email: quantascriptor@gmail.com
🌎 Website: quantum.api

QuantumAI Chat Interface

A next-generation chat interface with quantum computing capabilities.

Features

🚀 Real-time quantum-enhanced chat responses
✨ Animated message transitions
📝 Markdown support in messages
🎵 Sound effects for interactions
👍 Message reactions
⌨️ Typing indicators
📱 Responsive design
🎨 Dark mode interface

Setup

Install dependencies:

npm install
# or
yarn install

Install required packages:

npm install framer-motion react-markdown react-icons use-sound axios

Add sound effects:

Create a public folder in your project root
Add message-sound.mp3 to the public folder

Start the development server:

npm run dev
# or
yarn dev

Environment Variables

Create a .env file in the root directory:

REACT_APP_API_URL=your_api_url

Tech Stack

React with TypeScript
Framer Motion for animations
React Markdown for message formatting
Use-Sound for audio effects
Axios for API calls

Contributing

Fork the repository
Create your feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add some amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

QuantumAI License Management System

A blockchain-based licensing system for AI model access control and monetization.

Overview

The QuantumAI License Management System provides:

Time-based access control for AI models
Automated license validation and enforcement
Usage-based billing and royalty collection
Programmatic access revocation
Transparent transaction history

Technical Architecture

Smart Contract Components

License Token (ERC-1155)
- Represents active license ownership
- Includes metadata about license terms
- Non-transferable implementation
Revenue Sharing (ERC-2981)
- Automated royalty distribution
- Configurable revenue split
- Per-transaction enforcement
Access Control
- Time-based validation
- Grace period handling
- Blacklist functionality

Implementation Guide

Contract Deployment

const contract = await QuantumAILicense.deploy(
  licenseFee,    // Base fee in wei
  royaltyRate    // Percentage (1-100)
);

License Management

// Purchase license
await contract.purchaseLicense(duration, { value: fee });

// Validate license
const isValid = await contract.hasValidLicense(address);

// Revoke access
await contract.revokeLicense(address);

API Integration

from web3 import Web3
from quantum_ai.licensing import LicenseValidator

def verify_access(user_address: str) -> bool:
    return await LicenseValidator.check_license(user_address)

Security Considerations

Immutable license records
Cryptographic access verification
Automated compliance enforcement
Transparent audit trail

Technical Documentation

License

Commercial use requires a valid on-chain license. See LICENSE.md.

QuantumAI

A cutting-edge framework integrating Quantum Computing with Artificial Intelligence and AGI systems.

Project Structure

📂 q_fabric/      - Quantum computation modules and simulators
📂 ai_engine/     - AI models and quantum-enhanced layers
📂 security/      - Cryptographic and quantum-secure authentication
📂 docs/          - Documentation and API references
📂 tests/         - Unit tests for all components

Features

Universal quantum backend wrapper (Qiskit, PennyLane, Cirq, Braket)
Quantum-enhanced neural networks
Post-quantum cryptography
AGI governance system
R

QuantumAI

Install / Use

README

QuantumAI Framework

Vision

Core Features

Installation

Quick Start

Documentation

Security

License

QuantumAI 🧠⚛️

Directory Structure

Quick Links

🚀 About QuantumAI

✨ Key Features

🛠️ Prerequisites

Required

Optional (For CUDA Acceleration)

Important Version Constraints

🔧 Installation

1️⃣ Install System Dependencies (Ubuntu/Debian)

2️⃣ Install QuantumAI with Poetry

🛠️ Troubleshooting: NumPy Issues?

🚀 Usage

Start the API Server

Run Quantum Workloads

🧪 Testing

🏗️ Architecture

🔥 Roadmap

🤝 Contributing

📜 Documentation

🔒 License

🚀 Support & Contact

QuantumAI Chat Interface

Features

Setup

Environment Variables

Tech Stack

Contributing

QuantumAI License Management System

Overview

Technical Architecture

Smart Contract Components

Implementation Guide

Contract Deployment

License Management

API Integration

Security Considerations

Technical Documentation

License

QuantumAI

Project Structure

Features