Presentations
2022
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Re-qgan: an optimized adversarial quantum circuit learning framework, Black in AI Workshop at NeurIPS, New Orleans, Louisiana. [Contributed Talk and Poster]. November 2022..
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Re-qgan: an optimized adversarial quantum circuit learning framework, Quantum Techniques in Machine Learning (QTML), Naples, Italy. [Poster]. November 2022.
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Generative modeling in quantum machine learning. Statistics and Data Science Seminar, University of Tennessee, Knoxville, TN. [Seminar Talk]. February 2022.
2021
- Parameter reduction in adversarial quantum circuit learning. Oak Ridge National Laboratory, Summer Intern Symposium, Oak Ridge, TN. [Virtual Poster]. August 2021.