3 papers
cond-mat.dis-nn2025
Unreasonable effectiveness of unsupervised learning in identifying Majorana topology
Jacob Taylor, Haining Pan, Sankar Das Sarma
In unsupervised learning, the training data for deep learning does not come with any labels, thus forcing the algorithm to discover hidden patterns in the data for discerning usefu…
cond-mat.mes-hall2025
Mitigating disorder and optimizing topological indicators with vision-transformer-based neural networks in Majorana nanowires
Jacob R. Taylor, Sankar Das Sarma
Disorder remains a major obstacle to realizing topological Majorana zero modes (MZMs) in superconductor-semiconductor nanowires, and we show how deep learning can be used to recove…
cond-mat.mes-hall2024
Vision transformer based Deep Learning of Topological indicators in Majorana Nanowires
Jacob R. Taylor, Sankar Das Sarma
1D superconductor-semiconductor nanowires are the leading candidates for topological quantum computation due to their ability to host non-Abelian Majorana zero modes (MZMs). Howeve…