Machine learning study of the deformed one-dimensional topological superconductor
- 주제(키워드) 도움말 Machine learning , Topological superconductors , Majorana fermions , Sine-square deformation
- 발행기관 KOREAN PHYSICAL SOC
- 발행년도 2021
- 총서유형 Journal
- 본문언어 영어
초록/요약 도움말
A one-dimensional p-wave topological superconductor deformed by a sine-square-deformation is studied in the framework of machine learning. A supervised learning algorithm is applied with a convolutional neural network to discern the existence of a Majorana zero mode, which is the hallmark of topological superconductivity. The machine learning algorithm learns features of the Majorana zero mode, and the neural network trained with the dataset from the link deformed case turns out to be the most effective.
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