3 papers
cond-mat.mes-hall2023
Machine learning detecting Majorana Zero Mode from Zero Bias Peak measurements
Mouyang Cheng, Ryotaro Okabe, Abhijatmedhi Chotrattanapituk +1
Majorana zero modes (MZMs), emerging as exotic quasiparticles that carry non-Abelian statistics, hold great promise for achieving fault-tolerant topological quantum computation. A…
cond-mat.mtrl-sci2023
Topological superconductors from a materials perspective
Manasi Mandal, Nathan C. Drucker, Phum Siriviboon +6
Topological superconductors (TSCs) have garnered significant research and industry attention in the past two decades. By hosting Majorana bound states which can be used as qubits t…
physics.ins-det2023
Tetris-inspired detector with neural network for radiation mapping
Ryotaro Okabe, Shangjie Xue, Jiankai Yu +6
In recent years, radiation mapping has attracted widespread research attention and increased public concerns on environmental monitoring. In terms of both materials and their confi…