229 citations · 1.5k across the 37 of their papers we have counts for
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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…
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…
Quantum criticality and tunable Griffiths phase in superconducting twisted trilayer graphene
Phanibhusan S. Mahapatra, Haining Pan, Kenji Watanabe +3
When dimensionality is reduced, enhanced quantum fluctuations can destroy long-range phase coherence, driving a superconductor insulator transition, SIT, where disorder and electro…
Majorana zero modes in semiconductor-superconductor hybrid structures: Defining topology in short and disordered nanowires through Majorana splitting
Haining Pan, Sankar Das Sarma
Majorana zero modes (MZMs) are bound midgap topological excitations at the ends of a 1D topological superconductor, which must come in pairs. If the two MZMs in the pair are suffic…
Rashba spin-orbit coupling and artificially engineered topological superconductors
Sankar Das Sarma, Katharina Laubscher, Haining Pan +2
One of the most important physical effects in condensed matter physics is the Rashba spin-orbit coupling (RSOC), introduced in seminal works by Emmanuel Rashba. In this article, we…