TensorFlow Quantum

TensorFlow Quantum (TFQ) is an open-source library created by Google Quantum AI that combines quantum computing with the popular TensorFlow machine learning framework. TFQ provides tools for rapid prototyping of hybrid quantum-classical ML models enabling integration of quantum algorithms with classical neural networks. The library supports quantum data processing, quantum circuit construction, and gradient-based optimization of quantum models. TFQ enables researchers to leverage TensorFlow's extensive machine learning ecosystem for quantum computing applications. The platform facilitates quantum machine learning research including variational quantum algorithms, quantum neural networks, and quantum data encoding. TFQ works with Google's Cirq quantum programming framework and supports simulation and execution on quantum hardware. Widely used in academic research and quantum machine learning development. Regular updates and active community support through Google's quantum computing initiatives.