Designation: Assistant Professor
Department: Electronics Engineering
Email: subhadeep[at]iitism[dot]ac[dot]in
Contact Number: 8240168012
Personal Page: Click Here
About Me: Trained in Electronics and Communication Engineering with a strong foundation in signal processing, I was naturally drawn toward one of the most exciting frontiers in computing, quantum technologies. My journey from classical communication systems to quantum computing has been driven by curiosity, mathematics, and the desire to build algorithms that can create real world impact. My research lies at the intersection of quantum computing, machine learning, signal processing, and communication systems, where I work on challenging problems in optimization, learning, secure communications, and scalable quantum algorithms. My academic and industry experiences have allowed me to explore both fundamental theory and practical innovation. Beyond research, I enjoy mentoring ambitious students, swimming, traveling, and turning bold ideas into meaningful publications and technology. If you love asking difficult questions, building from first principles, and exploring beyond textbooks, you will likely enjoy working with my group.
Research Interest: My research focuses on quantum computing, machine learning, signal processing, and next-generation communication systems, with an emphasis on developing mathematically grounded algorithms that bridge theory and real-world applications. I am particularly interested in hybrid quantum-classical learning frameworks, quantum neural networks, quantum-inspired machine learning, tensor network-based machine learning, and scalable quantum algorithms for optimization and inference. I also explore the application of these techniques in wireless communications, secure communication systems, quantum state learning, resource optimization, and future intelligent networks, aiming to connect fundamental advances in quantum information with practical engineering challenges.
