Publications
You can also find my articles on my Google Scholar profile.
Journals
- Constrained and Vanishing Expressivity of Quantum Fourier Models [arxiv]Quantum, 2025
- Trainability and Expressivity of Hamming-Weight Preserving Quantum Circuits for Machine Learning [arxiv]Quantum, 2025
- Subspace Preserving Quantum Convolutional Neural Network Architectures [arxiv]Quantum Science and Technology, 2025
- Quantum Vision Transformers [arxiv]Quantum, 2024
- Quantum Fourier Networks for Solving Parametric PDEs [arxiv]Quantum Science & Technology, 2024
- Quantum Methods for Neural Networks and Application to Medical Image Classification [arxiv]Quantum, 2022
- Quantum Spectral Clustering [arxiv]Physical Review A, 2020
Conferences
- Classically Approximating Variational Quantum Machine Learning with Random Fourier Features [arxiv]ICLR 2023, 2023
- Quantum Bayesian Neural Networks [arxiv]AABI 2022, 2022
- Quantum Algorithms for Deep Convolutional Neural Networks [arxiv]ICLR 2020, 2020
- Q-means: A Quantum Algorithm for Unsupervised Machine Learning [arxiv]NeurIPS 2019, 2019
Preprints
- When Quantum and Classical Models Disagree: Learning Beyond Mean Norm Least Square [arxiv]arXiv preprint, 2024
Thesis
- Quantum Algorithms for Unsupervised Machine Learning and Neural Networks [arxiv]PhD Thesis, 2021