Curriculum Vitae


About

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

Over the past three years, I have worked 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

Moment-Structured Block Encodings of Periodic Finite-Difference Operators
Mahmud, J., and Herrman, R.
arXiv preprint. [PDF]

Explicit Block Encoding of Difference-of-Gaussian Operators on a Periodic Grid
Mahmud, J., Winship, J., Lash, T., Ostrowski, J., and Herrman, R.
arXiv preprint. Accepted as a talk at IEEE Quantum Week (QCE) 2026. [PDF]

Simplification Rules for Continuous-Time Quantum Walks on Dynamic Graphs
Atallah, M., Dilley, D., Mahmud, J., Saleem, Z., and Herrman, R.
arXiv preprint. [PDF]

Selective feature re-encoded quantum convolutional neural network with joint optimization for image classification
Mahernob Sarkar, S., Iftekhar Ahmed, S., Mahmud, J., Anowarul Fattah, S., and Sharma, G.
Quantum Machine Intelligence 8, 79 (2026). [Preprint PDF]

Hybrid Quantum-Classical Learning for Multiclass Image Classification
Anwar, S., Das, S., Hossain, M. I., and Mahmud, J.
arXiv preprint. Currently under review in Quantum Machine Intelligence. [PDF]

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

Patch-Based End-to-End Quantum Learning Network for Reduction and Classification of Classical Data
Mahmud, J., and Fattah, S. A.
arXiv preprint. [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.
TENCON 2023 – 2023 IEEE Region 10 Conference (TENCON), Chiang Mai, Thailand, 2023, pp. 1–5. [IEEE]


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