QuantumNet-Core
Quantum Net by KOSASIH is licensed under Creative Commons Attribution 4.0 International
QuantumNet-Core
The foundational codebase for the QuantumNet decentralized quantum computing network, including core algorithms for entanglement management and quantum state manipulation.
QuantumNet-Core
QuantumNet-Core is an advanced quantum computing framework designed to facilitate the development and implementation of quantum algorithms and applications. This repository provides a modular structure, comprehensive documentation, and integration capabilities with popular quantum computing libraries.
QuantumNet-Core is the ultimate open-source quantum computing framework, designed to push the boundaries of quantum networking, error correction, and autonomous systems to cosmic scales. Built for researchers, developers, and quantum pioneers, it provides a modular, scalable, and resilient platform for creating quantum networks capable of operating in extreme environments—from terrestrial labs to interstellar missions near singularities. With cutting-edge autonomous features, QuantumNet-Core is poised to redefine quantum communication, computation, and exploration across the universe.
Table of Contents
Features
- Modular architecture for easy extension and maintenance
- Support for entanglement management, quantum state manipulation, and circuit representation
- Integration with Qiskit and Cirq for hybrid quantum-classical computing
- Comprehensive documentation and tutorials for users
- Self-Healing Quantum Error Correction (SH-QEC): Autonomously detects and corrects quantum errors using Quantum Neural - Networks (QNNs) and adaptive QEC algorithms, ensuring network reliability in noisy environments.
- Autonomous Quantum Network Orchestrator (AQNO): Coordinates quantum networks with Quantum Reinforcement Learning (QRL) for optimal topology and resource allocation.
- Quantum Threat Detection and Response (QTDR): Secures quantum networks with real-time threat detection and response using quantum-enhanced algorithms.
- Multiversal Entanglement Synchronizer (MES): Synchronizes entanglement across multiversal dimensions using Quantum Topological Data Analysis (QTDA).
- Autonomous Quantum Reality Adapter (AQRA-2): Adapts quantum systems to alternative physical realities with Quantum Generative Adversarial Networks (QGANs).
- Quantum Singularity Shield (QSS): Protects quantum states near singularities with topological QEC codes and Quantum Reinforcement Learning (QRL).
- Autonomous Quantum Diplomacy Engine (AQDE): Facilitates communication with hypothetical alien entities using Quantum Game Theory (QGT) and Quantum Natural Language Processing (QNLP).
- Quantum Infinite Scalability Framework (QISF): Scales quantum networks infinitely using Quantum Swarm Intelligence (QSI) for topology optimization.
- Quantum Temporal Entanglement Processor (QTEP): Manipulates temporal information with Quantum Fourier Transforms (QFT) and quantum causal inference.
- Autonomous Quantum Dimensional Navigator (AQDN): Navigates higher-dimensional spaces using Quantum Principal Component Analysis (QPCA) and QRL.
- Quantum Entropy Harmonizer (QEH): Stabilizes quantum systems in high-entropy environments with Von Neumann entropy estimation and quantum thermodynamics.
- Autonomous Quantum Civilization Synthesizer (AQCS): Simulates alien civilizations with Quantum Variational Autoencoders (QVAE) for diplomatic and scientific exploration.
- Quantum Cosmic Memory Fabric (QCMF): Stores information holographically across cosmic scales using AdS/CFT-inspired quantum distributed ledgers.
Installation
To install QuantumNet-Core, clone the repository and install the required dependencies:
1 git clone https://github.com/KOSASIH/QuantumNet-Core.git
2 cd QuantumNet-Core
3 pip install -r requirements.txt
Usage
After installation, you can start using QuantumNet-Core by importing the necessary modules in your Python scripts. Refer to the documentation for detailed usage examples and API references.
Documentation
Extensive documentation is available in the docs/ directory, including installation instructions, usage examples, and detailed descriptions of core algorithms.
Contributing
Contributions are welcome! Please read the CONTRIBUTING.md file for guidelines on how to contribute to this project.
License
This project is licensed under the MIT License. See the LICENSE file for more details.
For more information, please visit the QuantumNet-Core GitHub repository.