PoAPL

2000년 도입 · 논문 1편에서 사용

A trainable layer that encodes feature vectors onto 2 rotational coordinates $R_y(\theta),R_z(\gamma)$ for a unit sphere. *Used to map data onto the Bloch Sphere surface for qubits*

출처: Quantum Polar Metric Learning: Efficient Classically Learned Quantum Embeddings

소개 논문: Quantum Polar Metric Learning: Efficient Classically Learned Quantum Embeddings