PoAPL

Polar Angle Prediction Layer

Computer VisionIntroduced 20001 papers

Description

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

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