https://github.com/sevdanurgenc/tensorflow-quantum-machine-learning

TensorFlow Quantum Machine Learning
https://github.com/sevdanurgenc/tensorflow-quantum-machine-learning

machine-learning machine-learning-algorithms quantum quantum-algorithms quantum-computing tensorflow

Last synced: 13 days ago
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TensorFlow Quantum Machine Learning

• Host: GitHub
• URL: https://github.com/sevdanurgenc/tensorflow-quantum-machine-learning
• Owner: SevdanurGENC
• License: mit
• Created: 2021-02-03T22:00:20.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2021-02-08T22:09:29.000Z (about 4 years ago)
• Last Synced: 2024-11-30T22:12:54.550Z (2 months ago)
• Topics: machine-learning, machine-learning-algorithms, quantum, quantum-algorithms, quantum-computing, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 6.32 MB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# TensorFlow-Quantum-Machine-Learning

TensorFlow Quantum Machine Learning

 

![image](https://user-images.githubusercontent.com/5441882/107276313-db63f600-6a63-11eb-84b3-b24ac5935a11.png) 

 

TensorFlow Quantum (TFQ) is a Python framework for quantum machine learning. As an application framework, TFQ allows quantum algorithm researchers and ML application researchers to leverage Google’s quantum computing frameworks, all from within TensorFlow.

TensorFlow Quantum focuses on quantum data and building hybrid quantum-classical models. It provides tools to interleave quantum algorithms and logic designed in Cirq with TensorFlow. A basic understanding of quantum computing is required to effectively use TensorFlow Quantum.