Quantum-Enhanced Similarity Measures for Polarimetric Materials Classification 事件

Quantum-Enhanced Similarity Measures for Polarimetric Materials Classification arXiv:2606.07766v1 Announce Type: new Abstract: We present a quantum--classical hybrid pipeline for polarimetric material classification that casts this as a point-matching problem. Voxel cubes, containing polarized light reflections, are used to train an encoder to produce 32-dimensional embeddings for the voxels of the cubes. At inference, the encoder head is discarded and the embeddings are encoded as probability