A Hybrid MEMS–NEMS–Quantum Sensor System for Ultra-Precise  Sensing with Adaptive Machine Learning

Harun Bangali, Dr. S. Subramanian

A Hybrid MEMS–NEMS–Quantum Sensor System for Ultra-Precise Sensing with Adaptive Machine Learning

Authors

Harun Bangali, Dr. S. Subramanian

Keywords:

NanoSenseX Pro, MEMS–NEMS–Quantum integration, Machine learning sensor calibration, Piezoresistive transducer, Quantum simulation

Abstract

Advancements in sensing technology have increasingly relied on integratingmicroelectromechanical (MEMS), nanoelectromechanical (NEMS), and quantum systems toachieve high precision, faster response,

References

Acín, A., Bloch, I., Buhrman, H., Calarco, T., Eichler, C., Eisert, J., ... & Wilhelm, F. K. (2018). The quantum technologies roadmap: a European community view. New Journal of Physics, 20(8), 080201.

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Published

2023-04-20

How to Cite

Harun Bangali, Dr. S. Subramanian. (2023). A Hybrid MEMS–NEMS–Quantum Sensor System for Ultra-Precise Sensing with Adaptive Machine Learning . Journal of Computational Analysis and Applications (JoCAAA), 31(4), 1629–1642. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3556