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, Niki Kyriakou

Faculty Advisor: Andreas Spanias, Professor ECEE, Director SenSIP Center

Sponsor: General Dynamics, National Science Foundation, Quantum Collaborative, ASU KE

Presentation:  Click Here To View

 

SenSIP Quantum Information Science and Machine Learning Student and Faculty Group

 

Publications:

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

[2] Uehara, Glen S., Andreas Spanias, and William Clark. “Quantum information processing algorithms with emphasis on machine learning.” 2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA). IEEE, 2021. – Click Here

[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. – Click Here

[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. – Click Here

[5] 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. – Click Here

[6] A. Sharma, L. Miller, G. Uehara, V. Narayananswami, A. Spanias, “Signal Analysis-Synthesis Using The Quantum Fourier Transform, IEEE ICASSP 2023, Rhodes, June 2023. – Click Here

[7] L. Miller, G. Uehara, A. Sharma, A. Spanias, “Quantum Machine Learning for Optical and SAR Classification,” IEEE DSP Conference, Rhodes, June 2023. – Click Here

[8] M. Yarter, G. Uehara, A. Spanias, “EDGE Cloud Voice Recognition Using Quantum Neural Networks,” IEEE MWCAS 2023, August 2023. (submitted).

[9] Rajesh Kumar, Glen Uehara, Andreas Spanias, Measuring Performance of Quantum Simulators for Machine Learning, draft completed, to be submitted to IEEE.

 

Workforce Development:

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. – Click Here

 

AWARDS  /  HONORS related to Quantum Information Systems:

Impact Award for Quantum Machine Learning Work

    Mathew Dobson, Quantum Energy & Quantum Edge Detection – More Info

    Leslie Miller,  Quantum Imaging,   – More Info

   Michael Esposito, Quantum COVID-19 Audio, – More Info

 

Thesis:

1. Barrett Honors Thesis in Quantum ML for Covid 19 Detection, M. Esposito, 2022.
2. Barrett Honors Thesis in Quantum ML for Imaging , L. Miller, 2023.
3. Masters Thesis, Rajesh Kumar, Measuring Performance of Quantum Simulators for Machine Learning, 2023.
4. Master Thesis Maxwell Yarter, Investigating Quantum Approaches to Algorithm Privacy and Speech Processing, 2023.

SenSIP – Tec de Monterrey Workshop, April 2023

The purpose of this workshop is to explore areas of collaboration of SenSIP with Tec de Monterrey on Quantum Machine Learning

 

Reports:  

Quantum Linear Prediction, Aradhita Sharma,Glen Uehara, Andreas Spanias, 2023.

Quantum Support Vector Machines for Energy, Niki Kyriakou,Glen Uehara and Andreas Spanias. 2023.

Quantum Machine Learning for Emotion Recognition, Kayden McGuffie, Glen Uehara and Andreas Spanias. 2023.

Quantum Image Edge Detection, Matthew Dobson, Glen Uehara and Andreas Spanias.2022.

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.

Participation in the Quantum Collaborative,