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.
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].
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]
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.
TQC 2024: Attended various talks and participated in poster sessions.
IEEE TENCON 2023: Presented a paper on quantum machine learning.
IUB Summer School 2024: Glimpses into the Quantum World - Information, Technology, and Applications}: Attended the summer school arranged by the Independent University of Bangladesh (IUB) on quantum information and computation. Lectures were provided by Dr. Leong Chuan Kwek (National University of Singapore) and Dr. Subhro Bhattacharjee (International Centre for Theoretical Sciences).