TFQ
TensorFlow Quantum (TFQ) is an open-source library developed to enable researchers to build and train quantum machine learning models and hybrid quantum-classical pipelines within the TensorFlow ecosystem. It provides high-level abstractions for creating parameterized quantum circuits using Cirq and for integrating them into TensorFlow models.
TFQ converts Cirq circuits into TensorFlow tensors, allowing end-to-end differentiable workflows. This enables gradient-based optimization of
A key aim of TFQ is to facilitate hybrid quantum-classical learning, where data is encoded into quantum
History and status: TFQ was released to accelerate research in quantum machine learning by Google and the
See also: Cirq, TensorFlow, quantum machine learning, variational quantum algorithms.