Random telegraph signal analysis with a recurrent neural network
Author:
Funder
Ministry of Business, Innovation and Employment
Engineering and Physical Sciences Research Council
Publisher
American Physical Society (APS)
Link
http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevE.102.012312/fulltext
Reference37 articles.
1. Random telegraph signal currents and low-frequency noise in junction field effect transistors
2. A physical model for random telegraph signal currents in semiconductor devices
3. Random Telegraph Signal in the Photoluminescence Intensity of a Single Quantum Dot
4. Real-time detection of electron tunnelling in a quantum dot
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1. Deep neural network analysis models for complex random telegraph signals;Scientific Reports;2023-06-27
2. Material-Inherent Noise Sources in Quantum Information Architecture;Materials;2023-03-23
3. Noise-robust classification of single-shot electron spin readouts using a deep neural network;npj Quantum Information;2021-09-09
4. Silicon single-electron random number generator based on random telegraph signals at room temperature;AIP Advances;2020-11-01
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