A quantum machine learning toolkit built on Cqlib, featuring quantum data encoders, parameterized quantum circuits, quantum and hybrid quantum-classical neural networks, quantum kernel methods, and end-to-end training components.
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.