2 papers
quant-ph2026
HAMMR-L: Noise Reduction in Quantum Outcomes Using a Richardson-Lucy Deconvolution Algorithm for Quantum State Graphs
Jake Scally, Austin Myers, Ryan Carmichael +2
Current quantum computers present significant noise, especially as circuit depth and qubit count increase. Prior work has demonstrated that erroneous outcomes exhibit some behavior…
cs.CV2025
Are Vision Transformer Representations Semantically Meaningful? A Case Study in Medical Imaging
Montasir Shams, Chashi Mahiul Islam, Shaeke Salman +2
Vision transformers (ViTs) have rapidly gained prominence in medical imaging tasks such as disease classification, segmentation, and detection due to their superior accuracy compar…