Provides a Python framework for building and training hybrid quantum–classical models via differentiable programming, with integrations for PyTorch, TensorFlow, and JAX. Supports hardware plugins, parameter‑shift gradients, quantum‑chemistry tools, and high‑performance simulators for research workflows.
