Curriculum Vitae


About

I am interested in the broader realms of quantum information and computation. I am currently a PhD student at the University of Tennessee, Knoxville and working under the supervision of Dr. Rebekah Herrman. My current research focuses on using Hamiltonian simulation as a framework for developing new quantum algorithms.

In the past three years, I have conducted research on quantum variational algorithms under the supervision of Dr. Shaikh Anowarul Fattah and have served as a lecturer at the Department of Computer Science, BRAC University. I earned my Bachelor of Science in Electrical and Electronic Engineering from Bangladesh University of Engineering & Technology, BUET.


Publications & Preprints

Explicit Block Encoding of Difference-of-Gaussian Operators on a Periodic Grid Mahmud, J., Winship, J., Lash, T., Ostrowski, J., and Herrman, R. arxiv pre-print [PDF]

Quantum convolutional neural networks with interaction layers for classification of classical data Mahmud, J., Mashtura, R., Fattah, S.A., and Saquib, M., 2024. Quantum Machine Intelligence, 6(1), p.11. [PDF]

Selective Feature Re-Encoded Quantum Convolutional Neural Network with Joint Optimization for Image Classification Sarkar, S.M., Ahmed, S.I., Mahmud, J., Fattah, S.A., and Sharma, G. arxiv pre-print [PDF]

Patch-Based End-to-End Quantum Learning Network for Reduction and Classification of Classical Data Mahmud, J., and Fattah, S.A. arxiv pre-print [PDF].

Hybrid Quantum-Classical Learning for Multiclass Image Classification Anwar, S., Das, S., Hossain, M. I., & Mahmud, J. arxiv pre-print [PDF]

A Parallel Quantum Feature Encoding Scheme for Effective Classical Data Classification in Quantum Convolutional Neural Networks Mashtura, R., Mahmud, J., Fattah, S.A. and Saquib, M., 2023, October. In TENCON 2023-2023 IEEE Region 10 Conference (TENCON) (pp. 1-5) IEEE.


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