tensorflow/quantum

Integrates Cirq for quantum circuit design and qsim for high-performance simulation, while implementing quantum operations as native C++ TensorFlow Ops for seamless integration in the compute graph. Provides automatic differentiation of quantum circuits through multiple gradient methods (parameter shift, adjoint) and leverages Keras for defining quantum machine learning models, enabling researchers to scale quantum algorithm exploration across millions of circuit simulations.

2,098 stars. Actively maintained with 3 commits in the last 30 days.