Curriculum Vitae


About

I am Jishnu Mahmud, and I am highly interested in the broader realms of quantum information and quantum computation.

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


Publications & Preprints

  1. 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]

  2. 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].

  3. 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]

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

  5. 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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