2 papers
cs.AI2026
Quantum Entangled Multimodal Fusion Networks (QEMFN): Resource-Aware Hybrid Vision-Language Fusion via Trainable Entanglement
Srikar Alla, Ali Shiri Sichani, Chi-Ren Shyu
Multimodal vision-language systems typically fuse image and text embeddings through classical operators such as concatenation, attention, bilinear pooling, or tensor interactions.…
quant-ph2026
When Normalization Selects the Sign: Auditing Robustness Ablations in Quantum Attention
Owen Friedewald, Srikar Alla, Ali Shiri Sichani +1
Removing an input-scaling module changes both a classifier and the perturbations reaching its encoder. A robustness difference can therefore reflect the comparison rule as well as…