Jishnu Mahmud is currently a lecturer in the Department of Computer Science and Engineering under the School of Data and Sciences at BRAC University. He completed his undergraduate degree from the Department of Electrical and Electronic Engineering, majoring in Communication and Signal Processing, at Bangladesh University of Engineering and Technology. 

He is an enthusiastic researcher in quantum information (including but not limited to quantum error correction, tomography, and quantum variational algorithms). 

In addition to his academic interests, Jishnu is a classical guitarist at the Classical Music Academy of Dhaka and can be seen taking his film cameras out for walks now and then.

1. Mahmud, J., & Fattah, S. A. (2024). Patch-Based End-to-End Quantum Learning Network for Reduction and Classification of Classical Data. arXiv preprint arXiv:2409.15214.
2. Mahmud J., Mashtura, R., Fattah, S.A. et al. "Quantum convolutional neural networks with interaction layers for classification of classical data"~Quantum Machine Intelligence 6, 11 (2024). [{https://doi.org/10.1007/s42484-024-00145-4}{DOI: 10.1007/s42484-024-00145-4}] https://arxiv.org/pdf/2307.11792.pdf
3. R. Mashtura, J. Mahmud, S. A. Fattah and M. Saquib, "A Parallel Quantum Feature Encoding Scheme for Effective Classical Data Classification in Quantum Convolutional Neural Networks," TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON), Chiang Mai, Thailand, 2023, pp. 1-5, [{https://doi.org/10.1109/TENCON58879.2023.10322543}{DOI: 10.1109/TENCON58879.2023.10322543}]

“World's best quantum information theorist”- My Mom