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Glen S. Uehara
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2020 – today
- 2023
- [c11]Aradhita Sharma, Glen S. Uehara, Andreas Spanias:
Quantum Linear Prediction for System Identification and Spectral Estimation Applications. ACSSC 2023: 1151-1155 - [c10]Chao Wang, Aradhita Sharma, Glen S. Uehara, Leslie Miller, Deep Pujara, Wendy Barnard, Jean S. Larson, Andreas Spanias:
Introducing Quantum Computing in a Sophomore Signals and Systems Course. FIE 2023: 1-5 - [c9]Aradhita Sharma, Glen S. Uehara, Vivek Sivaraman Narayanaswamy, Leslie Miller, Andreas Spanias:
Signal Analysis-Synthesis Using the Quantum Fourier Transform. ICASSP 2023: 1-5 - [c8]Leslie Miller, Glen S. Uehara, Aradhita Sharma, Andreas Spanias:
Quantum Machine Learning for Optical and SAR Classification. DSP 2023: 1-5 - [c7]Maxwell Yarter, Glen S. Uehara, Andreas Spanias:
Investigating a Quantum Cloud Paradigm with Quantum Neural Networks. MWSCAS 2023: 900-903 - 2022
- [c6]Glen S. Uehara
, Jean S. 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. FIE 2022: 1-5 - [c5]Michael Esposito, Glen S. Uehara
Quantum Machine Learning for Audio Classification with Applications to Healthcare. IISA 2022: 1-4 - [c4]Glen S. Uehara
Quantum Machine Learning for Photovoltaic Topology Optimization. IISA 2022: 1-5 - [c3]Maxwell Yarter, Glen S. Uehara
Implementation and Analysis of Quantum Homomorphic Encryption. IISA 2022: 1-5 - 2021
- [c2]Glen S. Uehara
Quantum Neural Network Parameter Estimation for Photovoltaic Fault Detection. IISA 2021: 1-7 - [c1]Glen S. Uehara
Quantum Information Processing Algorithms with Emphasis on Machine Learning. IISA 2021: 1-11
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