Google Quantum AI

TensorFlow Quantum

TensorFlow Quantum (TFQ) is a hybrid quantum-classical machine learning library that integrates Cirq circuits as differentiable layers inside TensorFlow/Keras pipelines. Maintained jointly by Google Quantum AI and the TensorFlow team.

GitHub

Documentation

📖
Documentation
https://www.tensorflow.org/quantum

Other Resources

🔗
SourceCode
https://github.com/tensorflow/quantum
🔗
PackageURL
https://pypi.org/project/tensorflow-quantum/

API entry from apis.yml

apis.yml Raw ↑ 
aid: google-quantum-ai:tensorflow-quantum
name: TensorFlow Quantum
tags:
- Quantum Computing
- Machine Learning
- Hybrid
- Open Source
humanURL: https://www.tensorflow.org/quantum
properties:
- url: https://www.tensorflow.org/quantum
  type: Documentation
- url: https://github.com/tensorflow/quantum
  type: SourceCode
- url: https://pypi.org/project/tensorflow-quantum/
  type: PackageURL
description: TensorFlow Quantum (TFQ) is a hybrid quantum-classical machine learning library that integrates
  Cirq circuits as differentiable layers inside TensorFlow/Keras pipelines. Maintained jointly by Google
  Quantum AI and the TensorFlow team.