Predicting quantum emitter fluctuations with time-series forecasting models

Predicting quantum emitter fluctuations with time-series forecasting models

Abstract 2D materials have important fundamental properties allowing for their use in many potential applications, including quantum computing. Various Van der Waals materials, including Tungsten disulfide (WS2), have been employed to showcase attractive device applications such as light emitting di...

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Bibliographic Details
Main Authors: Fereshteh Ramezani, Matthew Strasbourg, Sheikh Parvez, Ravindra Saxena, Deep Jariwala, Nicholas J. Borys, Bradley M. Whitaker
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Quantum emitter
Quantum emission
Fluctuations
Forecast
Time-series
LSTM
Online Access:https://doi.org/10.1038/s41598-024-56517-0

Internet

https://doi.org/10.1038/s41598-024-56517-0

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