We use an artificial neural network to analyze asymmetric noisy random telegraph signals (RTSs), and extract underlying transition rates. We demonstrate that a long short-term memory neural network can vastly outperform conventional methods, particularly for noisy signals. Our technique gives reliable results as the signal-to-noise ratio approaches one, and over a wide range of underlying transition rates. We apply our method to random telegraph signals generated by a superconducting double dot based photon detector, allowing us to extend our measurement of quasiparticle dynamics to new temperature regimes.
Dynamical control of random telegraph noise in magnetic tunnel junctions
Tohoku University（东北大学）；Advanced Institute for Materials Research, Tohoku University（东北大学材料科学高等研究所）；Center for Science and Innovation in Spintronics, Tohoku University（东北大学自旋电子学科学与创新中心）；Laboratory for Nanoelectronics and Spintronics, Research Institute of Electrical Communication, Tohoku University（东北大学电气通信研究所纳米电子与自旋电子学实验室）；PRESTO, Japan Science and Technology Agency (JST)（日本科学技术振兴机构战略创造事业部PRESTO项目）；Division for the Establishment of Frontier Sciences of Organization for Advanced Studies at Tohoku University（东北大学高级研究组织前沿科学设立分部）；National Institutes for Quantum Science and Technology（国立量子科学技术研究院）；Center for Innovative Integrated Electronic Systems, Tohoku University（东北大学创新集成电子系统中心）
Impact of interdigitated electrodes design on the low frequency and random telegraph noise of single-layer graphene micro ribbons
Institute of Nanoscience and Nanotechnology, NCSR "Demokritos"（国家科学研究中心德谟克利特纳米科学与技术研究所）；Department of Physics, Aristotle University of Thessaloniki（塞萨洛尼基亚里士多德大学物理系）；Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, Grenoble INP, CROMA（格勒诺布尔阿尔卑斯大学、萨瓦勃朗峰大学、法国国家科学研究中心、格勒诺布尔理工学院、CROMA）；Institute of Quantum Computing and Quantum Technology, NCSR "Demokritos"（国家科学研究中心德谟克利特量子计算与量子技术研究所）
Single-Defect Spectroscopy via Random Telegraph Noise in Graphene-Contacted ReS$_2$-hBN Heterostructures
S. N. Bose National Center for Basic Science（S.N. Bose 基础科学国家中心）；Department of Condensed Matter Physics and Material Science, Tata Institute of Fundamental Research（塔塔基础研究院凝聚态物理与材料科学系）；Research Center for Electronic and Optical Materials, National Institute for Materials Science（国立材料研究所电子与光学材料研究中心）；Research Center for Materials Nano architectonics, National Institute for Materials Science（国立材料研究所材料纳米架构研究中心）；Institute for Functional Intelligent Materials, National University of Singapore（新加坡国立大学功能智能材料研究所）；Institut de Physique et Chimie des Matériaux de Strasbourg (IPCMS), CNRS, Université de Strasbourg（斯特拉斯堡材料与化学物理研究所（IPCMS），法国国家科学研究中心，斯特拉斯堡大学）；Applied physics department, Aalto University（阿尔托大学应用物理系）
