I am a Ph.D. Candidate in the School of Electrical and Computer Engineering at the Georgia Institute of Technology in Atlanta, advised by Dr. Saibal Mukhopadhyay. My research focuses on developing simulation frameworks and design tools for quantum sensors aimed at low-power and precision-based applications. Currently, I am exploring controlled feedback-based quantum tomography techniques to enhance quantum state preparation, thereby improving the performance of quantum photonic sensors. I have integrated metaheuristic algorithms with the Quantum Approximate Optimization Algorithm (QAOA) and benchmarked the outcomes against quantum annealing methods. These findings were presented at the Quantum Information Processing (QIP) 2024 in Taipei and the Science and Information Conference at London.

My work includes the development of innovative Quantum Long Short-Term Memory (QLSTM) and Quantum Vision Transformer (Quantum ViT) models for applications in healthcare and security. I have also implemented novel quantum-based heuristic algorithms to optimize these model parameters. My research has been featured in prominent journals and conferences, including IGARSS, IJCNN, IJCAI, SSCI, IJCCI, Multimedia Tools and Applications, and Studies in Computational Intelligence.

Looking ahead, my research will focus on hardware-classical hardware co-design for photonic quantum systems. My objective is to develop precise and energy-efficient sensing methods that leverage the capabilities of emerging quantum technologies.