Rail Vision: Quantum Transportation Delivers First Transformer-Based Neural Decoder for Universal Quantum Error Correction

Achieves superior decoding accuracy and dramatically improved efficiency compared to leading classical algorithmsRa’anana, Israel, Jan. 15, 2026 ...
IEEE

Centralized Position Embeddings for Vision Transformers

Vision Transformers (ViTs) have achieved remarkable success across various vision tasks. However, ViTs inherently lack spatial inductive biases, necessitating explicit position embedding (PE) schemes.
IEEE

Graph transformer with structural embedding and training for hyperspectral image

Abstract: Graph transformer networks have received more attention in hyperspectral image (HSI) classification. However, they overlooked the influence of graph connectivity strength in positional ...