qnn

What problem does it solve?

Enables building and training a Quantum Neural Network (QNN) for supervised classification tasks using parameterized quantum circuits.

Core Features & Use Cases

• Feature-encoded PQCs: map classical features to quantum states via angle encoding.
• Variational layers: per-qubit Rx/Ry/Rz rotations with entangling CNOTs to learn complex decision boundaries.
• Training scaffold: provides a simplified loop to demonstrate learning and evaluation on labeled data (synthetic or real datasets).

Quick Start

Run the provided script to train the QNN on a synthetic binary classification dataset.