COVID-19 AI Quantum Tensorflow are Artificial Intelligence & Quantum Technologies research and development projects using Tensorflow Quantum. In this repository we provide projects that include code and tutorials for AI algorithms built with Tensorflow Quantum, aimed at fighting and understanding COVID-19.
"TensorFlow Quantum (TFQ) is a quantum machine learning library for rapid prototyping of hybrid quantum-classical ML models. Research in quantum algorithms and applications can leverage Google’s quantum computing frameworks, all from within TensorFlow.
TensorFlow Quantum focuses on quantum data and building hybrid quantum-classical models. It integrates quantum computing algorithms and logic designed in Cirq, and provides quantum computing primitives compatible with existing TensorFlow APIs, along with high-performance quantum circuit simulators. Read more in the TensorFlow Quantum white paper." Source:
Please follow the Installation Guide to install COVID-19 AI Quantum Tensorflow 0.1.0.
Below are the current projects:
The Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research project encourages and welcomes code contributions, bug fixes and enhancements from the Github.
Please read the CONTRIBUTING document for a full guide to forking our repositories and submitting your pull requests. You will also find information about our code of conduct on this page.
- AUTHOR: Adam Milton-Barker - Peter Moss Leukemia AI Research Founder & Intel Software Innovator, Sabadell, Spain
We use SemVer for versioning. For the versions available, see Releases.
This project is licensed under the MIT License - see the LICENSE file for details.
We use the repo issues to track bugs and general requests related to using this project. See CONTRIBUTING for more info on how to submit bugs, feature requests and proposals.