{"id":25814782,"url":"https://github.com/redx94/quantumai","last_synced_at":"2026-06-15T07:34:21.968Z","repository":{"id":275049694,"uuid":"924895238","full_name":"redx94/QuantumAI","owner":"redx94","description":"🚀 QuantumAI merges Quantum Computing with Artificial Intelligence to revolutionize machine learning, cryptography, and optimization. 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All Rights Reserved\n\n# QuantumAI 🧠⚛️\n\u003e The future of AI is Quantum - Core framework combining Quantum Computing and AI\n\n\u003cdiv align=\"center\"\u003e\n\n![QuantumAI Banner](assets/images/banner.jpeg)\n\n[![License](https://img.shields.io/badge/License-QPL%20v1.1-red)](LICENSE.md)\n[![Python](https://img.shields.io/badge/Python-3.9%2B-blue)](#prerequisites)\n[![Status](https://img.shields.io/badge/Status-Active-brightgreen)](#status)\n\n\u003c/div\u003e\n\n## Directory Structure\n\n```\napp/\n    api/        # FastAPI endpoints\n    core/       # Core quantum computing logic\n    dao/        # Data access layer\n    models/     # Data models\n    services/   # Business logic\n    utils/      # Helpers and utilities\ncontracts/      # Smart contracts for licensing\ndocs/          # Documentation\nfrontend/      # React-based UI\nnotebooks/     # Jupyter notebooks\nscripts/       # Utility scripts  \nsrc/           # Core quantum-AI implementation\ntest/          # Test suite\n```\n\n## Quick Links\n- [API Documentation](docs/api/README.md)\n- [Development Guide](docs/guides/development.md)\n- [Chat Interface](frontend/README.md)\n- [License System](contracts/README.md)\n\n---\n\n## 🚀 About QuantumAI  \nQuantumAI 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**.  \n\n**🔒 Commercial usage requires a paid license.** See **[LICENSE.md](LICENSE.md)** for terms.  \n\n---\n\n## ✨ Key Features  \n\n✅ **Quantum-enhanced neural networks** – Unlock AI capabilities beyond classical computing.  \n✅ **Hybrid Classical-Quantum Optimization** – Combines classical deep learning with quantum optimization.  \n✅ **Quantum Feature Mapping** – Transform classical data into quantum states for superior efficiency.  \n✅ **Multi-Quantum Hardware Support** – Compatible with **IBM Q, Rigetti, Google Quantum AI, IonQ,** and more.  \n✅ **FastAPI-Powered API** – Expose quantum models via RESTful API \u0026 WebSockets.  \n✅ **Built-in Quantum ML Benchmarking** – Evaluate classical vs. quantum performance.  \n\n---\n\n## 🛠️ Prerequisites  \n\nTo run QuantumAI, ensure you have the following:  \n\n### **Required**  \n🔹 Python **3.9+**  \n🔹 **Poetry** (Dependency manager)  \n🔹 **gcc/g++** (For compiling core components)  \n\n### **Optional (For CUDA Acceleration)**  \n🔹 **NVIDIA CUDA** – For faster deep learning computations  \n🔹 **cuQuantum SDK** – Optimized quantum circuit simulations  \n\n### **Important Version Constraints**  \n- `numpy == 1.23.5`  \n- `pennylane == 0.31.0`  \n\n---\n\n## 🔧 Installation  \n\n### **1️⃣ Install System Dependencies** (Ubuntu/Debian)  \n\n```bash\nsudo apt-get update\nsudo apt-get install python3-dev build-essential gcc g++\n```\n\n### **2️⃣ Install QuantumAI with Poetry**  \n\n```bash\npoetry config virtualenvs.in-project true\npoetry install --no-cache\n```\n\n#### **🛠️ Troubleshooting: NumPy Issues?**  \n\n```bash\npoetry run pip install --no-cache-dir numpy==1.23.5\npoetry install\n```\n\n---\n\n## 🚀 Usage  \n\n### **Start the API Server**  \n\n```bash\npoetry run uvicorn quantum_ai.api.main:app --reload\n```\n\n### **Run Quantum Workloads**  \n\n```python\nfrom quantum_ai.circuits import QuantumCircuit\nqc = QuantumCircuit()\nqc.run()\n```\n\n---\n\n## 🧪 Testing  \n\nRun the test suite:  \n\n```bash\npoetry run pytest\n```\n\n---\n\n## 🏗️ Architecture  \n\nQuantumAI follows a **modular architecture**, ensuring extensibility and seamless integration of **quantum and classical AI models**.  \n\n📂 **`quantum_ai/circuits/`**  \n  - Gate-based **quantum circuits**  \n  - Variational **quantum algorithms**  \n\n📂 **`quantum_ai/api/`**  \n  - **FastAPI**-based REST API  \n  - WebSocket support for **real-time quantum inference**  \n\n📂 **`quantum_ai/embeddings/`**  \n  - **Quantum Feature Mapping**  \n  - Hybrid **classical-quantum embeddings**  \n\n📂 **`quantum_ai/training/`**  \n  - **Quantum-enhanced neural networks**  \n  - **Hybrid QML optimizers**  \n\n---\n\n## 🔥 Roadmap  \n\n🚀 **Q1 2025:** **Quantum GANs** – Generative adversarial networks powered by quantum sampling.  \n🚀 **Q2 2025:** **Quantum NLP** – Explore quantum-enhanced **natural language processing**.  \n🚀 **Q3 2025:** **Federated Quantum Learning** – Secure, decentralized AI training.  \n\n[📜 Full Roadmap](docs/roadmap.md)  \n\n---\n\n## 🤝 Contributing  \n\n🔹 **Fork the Repository**  \n🔹 **Create a Feature Branch**  \n🔹 **Run Tests Before Submitting PRs**  \n🔹 **Submit a Pull Request with Detailed Notes**  \n\n---\n\n## 📜 Documentation  \n\n📘 **API Docs:** `http://localhost:8000/docs`  \n📘 **[Architecture Overview](docs/architecture.md)**  \n📘 **[Development Guide](docs/development.md)**  \n\n---\n\n## 🔒 License  \n\nQuantumAI is licensed under the **QuantumAI Proprietary License (QPL v1.1)**.  \n\n⚠️ **This software is NOT open-source**. Commercial use requires a **paid license**.  \n\n📜 **Read Full Terms:** [LICENSE.md](LICENSE.md)  \n\n---\n\n## 🚀 Support \u0026 Contact  \n\n📧 **Email:** quantascriptor@gmail.com  \n🌎 **Website:** [quantum.api](https://quantum.api)    \n\n---\n\n# QuantumAI Chat Interface\n\nA next-generation chat interface with quantum computing capabilities.\n\n## Features\n\n- 🚀 Real-time quantum-enhanced chat responses\n- ✨ Animated message transitions\n- 📝 Markdown support in messages\n- 🎵 Sound effects for interactions\n- 👍 Message reactions\n- ⌨️ Typing indicators\n- 📱 Responsive design\n- 🎨 Dark mode interface\n\n## Setup\n\n1. Install dependencies:\n```bash\nnpm install\n# or\nyarn install\n```\n\n2. Install required packages:\n```bash\nnpm install framer-motion react-markdown react-icons use-sound axios\n```\n\n3. Add sound effects:\n- Create a `public` folder in your project root\n- Add `message-sound.mp3` to the `public` folder\n\n4. Start the development server:\n```bash\nnpm run dev\n# or\nyarn dev\n```\n\n## Environment Variables\n\nCreate a `.env` file in the root directory:\n\n```env\nREACT_APP_API_URL=your_api_url\n```\n\n## Tech Stack\n\n- React with TypeScript\n- Framer Motion for animations\n- React Markdown for message formatting\n- Use-Sound for audio effects\n- Axios for API calls\n\n## Contributing\n\n1. Fork the repository\n2. Create your feature branch (`git checkout -b feature/amazing-feature`)\n3. Commit your changes (`git commit -m 'Add some amazing feature'`)\n4. Push to the branch (`git push origin feature/amazing-feature`)\n5. Open a Pull Request\n\n---\n\n# QuantumAI License Management System\n\nA blockchain-based licensing system for AI model access control and monetization.\n\n## Overview\n\nThe QuantumAI License Management System provides:\n- Time-based access control for AI models\n- Automated license validation and enforcement\n- Usage-based billing and royalty collection\n- Programmatic access revocation\n- Transparent transaction history\n\n## Technical Architecture\n\n### Smart Contract Components\n\n1. **License Token (ERC-1155)**\n   - Represents active license ownership\n   - Includes metadata about license terms\n   - Non-transferable implementation\n\n2. **Revenue Sharing (ERC-2981)**\n   - Automated royalty distribution\n   - Configurable revenue split\n   - Per-transaction enforcement\n\n3. **Access Control**\n   - Time-based validation\n   - Grace period handling\n   - Blacklist functionality\n\n## Implementation Guide\n\n### Contract Deployment\n\n```javascript\nconst contract = await QuantumAILicense.deploy(\n  licenseFee,    // Base fee in wei\n  royaltyRate    // Percentage (1-100)\n);\n```\n\n### License Management\n\n```javascript\n// Purchase license\nawait contract.purchaseLicense(duration, { value: fee });\n\n// Validate license\nconst isValid = await contract.hasValidLicense(address);\n\n// Revoke access\nawait contract.revokeLicense(address);\n```\n\n### API Integration\n\n```python\nfrom web3 import Web3\nfrom quantum_ai.licensing import LicenseValidator\n\ndef verify_access(user_address: str) -\u003e bool:\n    return await LicenseValidator.check_license(user_address)\n```\n\n## Security Considerations\n\n- Immutable license records\n- Cryptographic access verification\n- Automated compliance enforcement\n- Transparent audit trail\n\n## Technical Documentation\n\n- [Smart Contract Reference](docs/contract-reference.md)\n- [API Integration Guide](docs/api-integration.md)\n- [Security Model](docs/security.md)\n\n## License\n\nCommercial use requires a valid on-chain license. See [LICENSE.md](LICENSE.md).\n\n# QuantumAI\n\nA cutting-edge framework integrating Quantum Computing with Artificial Intelligence and AGI systems.\n\n## Project Structure\n\n```\n📂 q_fabric/      - Quantum computation modules and simulators\n📂 ai_engine/     - AI models and quantum-enhanced layers\n📂 security/      - Cryptographic and quantum-secure authentication\n📂 docs/          - Documentation and API references\n📂 tests/         - Unit tests for all components\n```\n\n## Features\n\n- Universal quantum backend wrapper (Qiskit, PennyLane, Cirq, Braket)\n- Quantum-enhanced neural networks\n- Post-quantum cryptography\n- AGI governance system\n- Real-time quantum hardware execution\n- Quantum-safe model protection\n\n## Installation\n\n```bash\npip install quantum-ai\n```\n\n## Quick Start\n\n```python\nfrom quantum_ai import QuantumNeuralNetwork\nfrom quantum_ai.security import QUANTUM_SHIELDWALL\n\n# Initialize a quantum-enhanced neural network\nqnn = QuantumNeuralNetwork()\n```\n\n## Documentation\n\nVisit [docs/](docs/) for complete documentation.\n\n## Security\n\nAll AI models are protected by QUANTUM_SHIELDWALL™ technology.\n\n## License\n\n\u003c\u003c\u003c\u003c\u003c\u003c\u003c HEAD\nSee the LICENSE file for details.\n=======\nMIT License\n\n## Development Best Practices\n\n### Code Style\n- Use type hints for all Python code\n- Follow PEP 8 guidelines\n- Document all public functions and classes\n- Use meaningful variable names\n\n### Testing Standards\n- Write unit tests for all new features\n- Maintain minimum 80% code coverage\n- Include integration tests for API endpoints\n- Test quantum circuits with simulation backends\n\n### Performance Guidelines\n- Profile quantum circuits before deployment\n- Optimize classical-quantum interfaces\n- Minimize quantum gate depth where possible\n- Cache intermediate results when appropriate\n\n### Security Requirements\n- All PRs must pass security scan\n- Implement access controls for quantum resources\n- Follow quantum-safe cryptography practices\n- Regular security audits required\n\u003e\u003e\u003e\u003e\u003e\u003e\u003e 5c96586 (refactoring)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fredx94%2Fquantumai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fredx94%2Fquantumai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fredx94%2Fquantumai/lists"}