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Engineering | SENSIP

SenSIP Quantum Information Processing Research

Emphasis : Machine Learning and Communications Algorithms

Collaborators: Glen Uehara, GD and ASU PhD program

Graduate Students:  Max Yarter, Aradhita Sarma, Rajesh Kumar

Undergraduate Researchers:  Leslie Miller, Michael Esposito,  Kaden McGuffie

Faculty Advisor: Andreas Spanias, Director SenSIP

Presentation:  Click Here To View

Papers:

[1] G. Uehara, S. Rao, M. Dobson, C. Tepedelenlioglu, and A. Spanias, “Quantum Neural Network Parameter Estimation for PV Fault Detection.” In 2021 Twelfth International Conference on Information, Intelligence, Systems & Applications (IISA) 2021.

[2] G. Uehara, A. Spanias, and W. Clark, “Quantum Computing Algorithms for Machine Learning and Signal Processing.” In 2021 Twelfth International Conference on Information, Intelligence, Systems & Applications (IISA) 2021.

[3] G. Uehara, V. Narayanaswamy, C. Tepedelenlioglu, A. Spanias, “Quantum Machine Learning for Photovoltaic Topology Optimization,” 2022 IEEE 13th International Conference on Information, Intelligence, Systems & Applications (IISA), Hybrid Conference, July 2022.

[4] M. Yarter, G. Uehara, A. Spanias, “Implementation and Analysis of Quantum Homomorphic Encryption,” 2022 IEEE 13th International Conference on Information, Intelligence, Systems & Applications (IISA), Hybrid Conference, July 2022.

[5] Glen Uehara, Jean Larson, Wendy Barnard, Michael Esposito, Filippo Posta, Maxwell Yarter, Aradhita Sharma, Niki Kyriacou, Matthew Dobson, Andreas Spanias, “Undergraduate Research and Education in Quantum Machine Learning,” IEEE FIE 2022, Upsala, Oct. 2022

[6] M. Esposito, G. Uehara, A. Spanias, Quantum Machine Learning for Audio Classification with Applications to Healthcare, 2022 IEEE 13th International Conference on Information, Intelligence, Systems & Applications (IISA), Hybrid Conference, July 2022.

 Reports:  

Signal Analysis-Synthesis based on Quantum Fourier Transforms,  Aradhita Sharma,Glen Uehara, Andreas Spanias, 2022

Quantum Cloud-Edge Computing for Audio Recognition, Max Yarter, Glen Uehara and Andreas Spanias. 2022.