TensorFlow Quantum provides tools to interleave quantum algorithms designed in Cirq with TensorFlow’s machine learning capabilities. It offers Keras-based abstractions for quantum machine learning constructs and supports automatic differentiation of quantum circuits. The framework is designed for NISQ (Noisy Intermediate-Scale Quantum) era quantum ML research and applications.