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cond-mat.mtrl-sci2026
A Hybrid Quantum Neural Network to Analyse Big Experimental Powder X-ray Diffraction Data
H. Dong, S. D. M. Jacques, M. Q. Hlatshwayo +4
Quantitative analysis of experimental powder X-ray diffraction data remains challenging when evaluating complex multiphase materials and noisy measurements. We introduce a hybrid q…
cs.CV2026
What DINO saw: ALiBi positional encoding reduces positional bias in Vision Transformers
Moritz Pawlowsky, Antonis Vamvakeros, Alexander Weiss +3
Vision transformers (ViTs) - especially feature foundation models like DINOv2 - learn rich representations useful for many downstream tasks. However, architectural choices (such as…