- Bhargav Ganguly and Vaneet Aggarwal, " Quantum Acceleration of Infinite Horizon Average-Reward Reinforcement Learning ," Oct 2023.
- Bhargav Ganguly, Yulian Wu, Di Wang, and Vaneet Aggarwal, "Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning," Feb 2023.
- Yulian Wu, Chaowen Guan, Vaneet Aggarwal, and Di Wang, "Quantum Heavy-tailed Bandits," Jan 2023.

- Dheeraj Pedireddy, Utkarsh Priyam, and Vaneet Aggarwal, "Noisy tensor ring approximation for computing gradients of variational quantum eigensolver for combinatorial optimization," Physical Review A, Vol. 108, Iss. 4, Oct 2023
- Mohammad Ali Javidian, Vaneet Aggarwal, and Zubin Jacob, "Learning Circular Hidden Quantum Markov Models: A Tensor Network Approach," Accepted to IEEE Transactions on Quantum Engineering, Sept 2023
- Dheeraj Peddireddy, Vipul Bansal, and Vaneet Aggarwal, "Tensor Ring Parametrized Variational Quantum Circuits for Large Scale Quantum Machine Learning," Applied Soft Computing, Volume 141, 110308, July 2023.
- Debanjan Konar, Aditya Das Sarma, Soham Bhandary, Siddhartha Bhattacharyya, Attila Cangia, Vaneet Aggarwal, "A Shallow Hybrid Classical-Quantum Spiking Feedforward Neural Network for Noise-Robust Image Classification," Applied Soft Computing, vol. 136, paper 110099, Mar 2023.
- Dheeraj Peddireddy, Vipul Bansal, Zubin Jacob, and Vaneet Aggarwal, "Tensor Ring Parametrized Variational Quantum Circuits for Large Scale Quantum Machine Learning," in Proc. Neurips Workshop on Quantum Tensor Networks in Machine Learning, Dec. 2021.
- Mohammad Ali Javidian, Vaneet Aggarwal, and Zubin Jacob, "Tensor Rings for Learning Circular Hidden Markov Models," in Proc. Neurips Workshop on Quantum Tensor Networks in Machine Learning, Dec. 2021.

- Mohammad Ali Javidian, Vaneet Aggarwal, and Zubin Jacob, "Quantum Causal Inference in the Presence of Hidden Common Causes: an Entropic Approach," Physical Review A, 106, 062425, Dec 2022.
- Mohammad Ali Javidian, Vaneet Aggarwal, Fanglin Bao, and Zubin Jacob, "Quantum Entropic Causal Inference," Feb 2021
- Mohammad Ali Javidian, Vaneet Aggarwal, and Zubin Jacob, "Identification of Latent Graphs: A Quantum Entropic Approach," in Proc. Neurips Workshop on Causal Inference & Machine Learning WHY-21, Dec. 2021.
- Mohammad Ali Javidian, Vaneet Aggarwal, and Zubin Jacob, "Quantum Causal Inference: an Entropic Approach," in Proc. UAI Workshop, Jul 2021.

- V. Aggarwal and A. R. Calderbank, "Boolean Functions, Projection Operators, and Quantum Error Correcting Codes," IEEE Trans. on Inf. Th., vol. 54, no. 4, Apr. 2008, pp. 1700-1707.
- V. Aggarwal and A. R. Calderbank, "Boolean Functions, Projection Operators and Quantum Error Correcting Codes," in Proc. International Symposium on Information Theory, pp.2091-2095, June 2007, Nice.
- V. Aggarwal, A. Ashikhmin and A. R. Calderbank, "A Grassmannian Packing Based on the Nordstrom-Robinson Code", in Proc. Information Theory Workshop, pp. 1-5, Oct. 2006, Chengdu, China.

- V. Aggarwal, A. R. Calderbank, G. Gilbert and Y. S. Weinstein, "Volume Thresholds for Quantum Fault Tolerance", Quantum Information Processing, Volume 9 Issue 5, October 2010.
- V. Aggarwal, A. R. Calderbank, G. Gilbert and Y. S. Weinstein, "Analyses of Volume Thresholds in Quantum Fault Tolerance," in Proc. APS March Meeting 2010.
- V. Aggarwal, A. R. Calderbank, G. Gilbert and Y. S. Weinstein, "Engineering Fault Tolerance for Realistic Quantum Systems via the Full Error Dynamics of Quantum Codes," in Proc. ISIT, Seoul, Korea, Jun.-Jul. 2009.
- G. Gilbert, Y. S. Weinstein, V. Aggarwal and A. Robert Calderbank, "Operator Theoretic Quantum Fault Tolerance," in Proc. APS March Meeting 2009.
- V. Aggarwal, A. R. Calderbank, G. Gilbert, M. Hamrick and Y. S. Weinstein, "A Universal Operator Theoretic Framework for Quantum Fault Tolerance," in Proc. APS March Meeting 2008.
- G. Gilbert, M. Hamrick, Y. S. Weinstein, V. Aggarwal and A. R. Calderbank, "A Universal Operator Theoretic Framework for Quantum Fault Tolerance", arXiv:0709.0128, Sept. 2007.