Quantum Tensorflow

Just released, support for testing quantum computing ideas.  Technical.

TensorFlow Quantum is a library for hybrid quantum-classical machine learning.

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.  https://arxiv.org/abs/2003.02989  

Start with the overview:  https://www.tensorflow.org/quantum/overview, then run the notebook tutorials.

Also covered more generally in Venturebeat:

Google launches TensorFlow Quantum, a machine learning framework for training quantum models     By Khari Johnson