{"id":25077543,"url":"https://github.com/angrysky56/quantum-framework","last_synced_at":"2026-04-03T08:36:38.313Z","repository":{"id":267884200,"uuid":"902650421","full_name":"angrysky56/quantum-framework","owner":"angrysky56","description":"Theoretical basis and prototype concept for an AI native OS as an infinite Turing Machine.","archived":false,"fork":false,"pushed_at":"2024-12-13T09:35:29.000Z","size":7017,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-12T17:23:59.372Z","etag":null,"topics":["ai","architecture","fractal","infinite","node","os","quantum","turing-machine","vector-database"],"latest_commit_sha":null,"homepage":"","language":"JavaScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/angrysky56.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-12-13T01:52:52.000Z","updated_at":"2024-12-24T07:27:24.000Z","dependencies_parsed_at":"2024-12-13T03:27:41.212Z","dependency_job_id":null,"html_url":"https://github.com/angrysky56/quantum-framework","commit_stats":null,"previous_names":["angrysky56/quantum-framework"],"tags_count":0,"template":true,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/angrysky56%2Fquantum-framework","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/angrysky56%2Fquantum-framework/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/angrysky56%2Fquantum-framework/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/angrysky56%2Fquantum-framework/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/angrysky56","download_url":"https://codeload.github.com/angrysky56/quantum-framework/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253785373,"owners_count":21963946,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","architecture","fractal","infinite","node","os","quantum","turing-machine","vector-database"],"created_at":"2025-02-07T02:34:53.554Z","updated_at":"2026-04-03T08:36:38.282Z","avatar_url":"https://github.com/angrysky56.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Quantum Framework\n\nThe Quantum Framework is an innovative platform designed to harness the power of high-dimensional vector spaces, serving as a practical realization of an AI-driven infinite Turing machine. This framework enables the representation and manipulation of complex data structures, processes, and abstract concepts within a unified, scalable, and adaptable vector space.\n\n## Key Features\n\n- **High-Dimensional Vector Representation**: Encode diverse entities, relationships, and processes into high-dimensional vectors, facilitating seamless integration and processing across various data modalities.\n\n- **Dynamic and Adaptive Computation**: Utilize AI-driven mechanisms to allow the framework to learn, adapt, and evolve over time, optimizing computations and enabling emergent behaviors.\n\n- **Parallel Processing**: Leverage the inherent parallelism of vector operations to efficiently handle complex tasks and large datasets.\n\n- **Scalability**: Employ a modular and hierarchical structure to manage the infinite-dimensional space, ensuring efficient computation and resource utilization.\n\n## Theoretical Foundation\n\nInspired by the concept of a Turing machine with an infinite tape, the Quantum Framework extends this paradigm by incorporating:\n\n- **Abstract Universality**: The framework's vector space can represent any computable function or logical structure, making it adaptable to a wide range of tasks and problems.\n\n- **AI-Driven Intelligence**: By embedding AI at its core, the framework transcends traditional deterministic computation, enabling dynamic learning, optimization, and goal-oriented processing.\n\n- **Emergent Behavior**: The system's ability to self-organize and adapt leads to the emergence of novel solutions and behaviors, reflecting a form of artificial general intelligence.\n\n## Practical Applications\n\n- **Data Integration**: Unify various data types—such as text, images, and audio—into a cohesive vector space for comprehensive analysis and processing.\n\n- **Complex Task Management**: Represent and manage intricate processes and workflows within the vector space, facilitating efficient task scheduling and resource allocation.\n\n- **Advanced Search and Retrieval**: Implement AI-driven search mechanisms that leverage learned relevance metrics to retrieve information based on contextual similarity.\n\n## Getting Started\n\nTo explore the capabilities of the Quantum Framework, please refer to the [documentation](https://github.com/angrysky56/quantum-framework/wiki) and [Docker Quickstart](https://github.com/angrysky56/quantum-framework/blob/main/%23%20quantum_framework%20containerization.txt) for installation instructions, tutorials, and examples. Once you have the Docker containers running I suggest using VS Code to run the [notebook](https://github.com/angrysky56/quantum-framework/blob/Nexus-Prime/notebooks/quantum_pattern_debugging_fixed.ipynb) for the example in the image \n\n![image](https://github.com/user-attachments/assets/26bf205e-6ffc-435a-ae8b-15464cb28d92)\n\n## Contributing\n\nWe welcome contributions from the community. Please review our [contributing guidelines](CONTRIBUTING.md) to get started.\n\n## License\n\nThis project is licensed under the [MIT License](LICENSE).\n\n---\n\n# Quantum Visualization Framework\n\nAn integrated system for visualizing and analyzing quantum mechanical systems with focus on orbital dynamics and state evolution.\n\n## Mathematical Framework\n\n### Core Equations\n\n1. **Schrödinger Equation**:\n   ```\n   iℏ ∂Ψ/∂t = HΨ\n   ```\n\n2. **Wavefunction**:\n   ```\n   Ψ(r,θ,φ) = R_{nl}(r)Y_{lm}(θ,φ)\n   ```\n\n3. **Measurement**:\n   ```\n   P(x) = |⟨x|Ψ⟩|²\n   ```\n\n### System Architecture\n\n#### Computational Components\n- **State Evolution**: Advanced numerical integration\n- **Visualization Engine**: Real-time 3D rendering\n- **Parameter Space**: Interactive quantum number exploration\n\n#### Implementation Stack\n```yaml\nFramework:\n  Computation:\n    - NumPy/SciPy: Core numerics\n    - Numba: JIT compilation\n    - CuPy: GPU acceleration\n  \n  Visualization:\n    - Plotly: Interactive 3D\n    - Dash: Web interface\n    - pythreejs: Advanced rendering\n    \n  Testing:\n    - pytest: Unit testing\n    - hypothesis: Property testing\n```\n\n## Usage\n\n1. Start the environment:\n   ```bash\n   docker-compose up\n   ```\n\n2. Access interfaces:\n   - Jupyter Lab: http://localhost:8888\n   - Visualization: http://localhost:8050\n\n## Development\n\n### Testing\n```bash\n# Run all tests\ndocker-compose run quantum_engine pytest\n\n# Run specific test\ndocker-compose run quantum_engine pytest tests/test_quantum_system.py\n```\n\n### Adding Features\n1. Implement in `quantum_system.py`\n2. Add tests in `tests/`\n3. Update visualization in `visualization/app.py`\n\n## Architecture\n\nThe system uses a modular architecture with:\n\n1. **Core Engine**\n   - Quantum state computation\n   - Hamiltonian evolution\n   - Measurement operators\n\n2. **Visualization Layer**\n   - Real-time state rendering\n   - Interactive parameters\n   - Probability density plots\n\n3. **Testing Framework**\n   - Property-based verification\n   - Physical constraints\n   - Numerical stability\n\n## Contributing\n\n1. Fork repository\n2. Create feature branch\n3. Implement changes\n4. Add tests\n5. Submit pull request\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fangrysky56%2Fquantum-framework","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fangrysky56%2Fquantum-framework","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fangrysky56%2Fquantum-framework/lists"}