Programs
- M. Tech. in Automotive Engineering -Postgraduate
- International Pediatric Cardiac Surgery Fellowship Program 1 Year -International, Fellowship
The Quantum Information and Intelligence Systems (QuIIS) group is dedicated to advancing the theoretical and computational foundations of quantum science. Our work explores quantum information theory, quantum algorithms, and the interface between quantum systems, information dynamics and artificial intelligence. By developing rigorous models and simulations, we seek to understand the fundamental limits of information processing in the quantum realm and to design new methods that harness quantum mechanics for computation, communication, and learning. We foster a collaborative environment for students and researchers who wish to engage with cutting-edge problems at the intersection of quantum theory and intelligent systems.
We explore the role of entanglement as a fundamental resource for next-generation quantum technologies. Our work focuses on hyperentanglement and hybrid entanglement, investigating their potential in gate-based, measurement-based, and functional quantum computing, as well as their applications in quantum network coding, the quantum internet, and quantum sensing.
We investigate theoretical models and computational approaches to enhance coherence, control, and scalability in superconducting qubit systems, with emphasis on transmon qubits and fault-tolerant topological architectures. On the optical side, our work focuses on efficient entanglement generation, non-linear quantum optics, and quantum random walks as powerful platforms for quantum information processing.
We explore how quantum computing can enhance machine learning, with a focus on developing quantum neural networks. Our research also investigates applications in healthcare, including advanced data analysis, pattern recognition, and predictive modeling to address complex biomedical challenges.
We study the fundamental principles and theoretical limits of quantum computation. Our research focuses on quantum algorithms, complexity theory, and information dynamics, aiming to deepen our understanding of what quantum systems can achieve and to guide the development of next-generation quantum technologies.
Assistant Professor (Sr. Gr.), Amrita Vishwa Vidyapeetham
Mr. Sumit Chilkoti
PhD Scholar, Amrita Vishwa Vidyapeetham
Ms. Sakshi Kumar
PhD Scholar, Amrita Vishwa Vidyapeetham
Mr. Anchit Miglani
Research Assistant, Amrita Vishwa Vidyapeetham
Mr. Ritesh Roshan Sahoo
Research Assistant, Amrita Vishwa Vidyapeetham
Mr. Satya Krishna
PhD Scholar, Amrita Vishwa Vidyapeetham