13 citations · 33 across the 11 of their papers we have counts for
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cond-mat.dis-nn2025
Machine learning Majorana topology using unsupervised and supervised learning
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
Ballistic transport in 1D Rashba systems in the context of Majorana nanowires
Haining Pan, Jacob R. Taylor, Jay D. Sau +1
Recent work on Majorana-bound states in semiconductor-superconductor hybrid structures has elucidated the key role of unintentional (and unknown) disorder (producing low-energy And…
cond-mat.mes-hall2025★ 1 cited
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…