Day 967: Quantum Feature Maps & Embeddings

Learning Objectives

• •**Define quantum feature maps** and their role in quantum machine learning
• •**Construct embedding circuits** that encode classical data into quantum states
• •**Analyze the expressivity** of different feature map designs
• •**Calculate inner products** between quantum-embedded data points
• •**Implement basic feature maps** in PennyLane with proper parameterization
• •**Compare quantum and classical** feature space representations

Today's Schedule (7 hours)