Day 968: Variational Quantum Classifiers

Learning Objectives

• •**Construct a variational quantum classifier** with encoding and ansatz layers
• •**Design cost functions** appropriate for classification tasks
• •**Implement hybrid training loops** combining quantum circuits with classical optimizers
• •**Analyze decision boundaries** created by quantum classifiers
• •**Apply VQC** to binary and multi-class classification problems
• •**Compare VQC performance** with classical methods on benchmark datasets

Today's Schedule (7 hours)