VQC Trainer Purpose Provides expert guidance on training variational quantum classifiers, including data encoding, circuit design, and gradient-based optimization. Capabilities - Data encoding circuit design - Variational layer construction - Gradient-based optimization (SPSA, Adam) - Cross-validation for QML - Hyperparameter tuning - Overfitting detection - Learning curve analysis - Ensemble methods Usage Guidelines 1. Data Preparation : Preprocess classical data for quantum encoding 2. Encoding Design : Select appropriate data encoding strategy 3. Ansatz Design : Build variational circuit w…