Publications

* Denotes authorship listed in alphabetic order.

Journal publications:

1.  *A. Grootveld, A. Maloney, J. Pollack, and P. Wu. “The Optimal Rate Function in Covariant Quantum State Tomography”. Submitted to: Communications in Mathematical Physics. 2026. url:https://arxiv.org/abs/2606.16948

2. C. Martin, A. Grootveld, A. Jalan, V. Gandikota, and A. Chakraborty. “Development of stratified stochastic tensor contraction method for applications in electronic structure theory”. In: APL Computational Physics 1.2 (2025). doi: 10.1063/5.0298770

Conference publications:

1.  A. Grootveld, B. Chen, and V. Gandikota. “Asymptotically Optimal Tests for One- and Two-Sample Problems”. In: 2026 IEEE International Symposium on Information Theory (ISIT). 2026, pp. 1–6. doi:10.1109/ISIT62367.2026.11654166. url: https://arXiv.org/abs/2601.11727.

2.  A. Grootveld, H. Yang, N. Sriranga, B. Chen, V. Gandikota, and J. Pollack. “Asymptotically Optimal Quantum Universal Quickest Change Detection”. In: 2026 IEEE International Symposium on Information Theory (ISIT). 2026, pp. 1–6. doi: 10 . 1109 / ISIT62367 . 2026 . 11653804. url: https://arXiv.org/abs/2602.02950

3. A. Grootveld, H. Yang, B. Chen, V. Gandikota, and J. Pollack. “Towards Quantum Universal Hypothesis Testing”. In: 2025 IEEE Information Theory Workshop (ITW). 2025, pp. 1–6. doi: 10.1109/ITW62417.2025.11240451. url: https://arxiv.org/abs/2504.16299

4. N. Sriranga, A. Grootveld, and P. K. Varshney. “Linear Sensor Collaboration for Distributed Parameter Estimation in the Presence of Communication Failures”. In: 2025 28th International Conference on Information Fusion (FUSION). IEEE. 2025, pp. 1–8. doi: 10.23919/FUSION65864.2025.11124119

5. Z. Wang, A. Grootveld, and M. C. Gursoy. “Hierarchical Over-the-Air Federated Learning with Differential Privacy”. In: Proceedings of the 2023 ACM Workshop on Wireless Security and Machine Learning. 2023, pp. 51–56. doi: 10.1145/3586209.3591400

6. K. M. Aguilar, S. Powers, L. Lackey, A. Grootveld, and A. G. Klein. “Assessing Paper Texture Similarity in Matisse Lithographs Using a Triplet Neural Network”. In: 2021 IEEE MIT Undergraduate Research Technology Conference (URTC). IEEE. 2021, pp. 1–5. doi: 10.1109/URTC54388.2021.9740159

7. A. Grootveld, V. I. Bugayev, L. Lackey, A. G. Klein, K. Vedula, and D. R. Brown. “Tracking of Dynamical Processes with Model Switching Using Temporal Convolutional Networks”. In: 2021 IEEE Aerospace Conference (50100). IEEE. 2021, pp. 1–9. doi: 10.1109/AERO50100.2021.9438450

8. L. Lackey, A. Grootveld, and A. G. Klein. “Semi-supervised Convolutional Triplet Neural Networks for Assessing Paper Texture Similarity”. In: 2020 54th Asilomar Conference on Signals, Systems, and Computers. IEEE. 2020, pp. 142–146. doi: 10.1109/IEEECONF51394.2020.9443454.

Preprints:

1. *A. Grootveld, A. Maloney, J. Pollack, and P. Wu. “Refined sample complexities from the tomographic rate function”. Oct. 2026. url: https://arxiv.org/abs/2609.40271

2. *V. Gandikota, A. Grootveld, and H. Yang. “Degree Sequence Reconstruction from Subgraph Traces”. Sept. 2026. url: https://arxiv.org/abs/2609.09397

3. A. Grootveld. “A Quantum Method of Types”. June 2026. url: https://arxiv.org/abs/2606.27442.