Projects Ongoing/Approved

CV-QKD-Seeded Quantum-Noise Stream Cipher Encryption: Codesign using Advanced Modulations 

Funded by the US-India Science and Technology Endowment Fund (USISTEF), PI, 2024-2026. Funding Amount 10M (1 Crore) INR

Collaborators: Prof. Prem Kumar, Northwestern University, USA; Prof. Anshul Jaiswal, IIT Roorkee; Industry partner: Mr. Tapan Sharda, NewAge, Gurugram, India 

Abstract: We propose to develop a copackaged quantum secure communication system product that will have two specific deliverables: i) generation, and distribution of Continuous Variable Quantum Key Distribution (CV-QKD), and ii) quantum encryption with Advanced Modulation techniques while providing highly secure data transmission at high data rates in current telecom networks. 

TowArds trusted-node-free Hybrid Quantum sEcurE CommunicAtion neTworks (TAHQEECAT)  

Funded by the Department of Science and Technology, India, Member PI, 2024-2031. Funding Amount 1300M INR (My portion 104M, i.e., 10.4 Crores)

Collaborators: Prof. Bhaskar Kanseri, IIT Delhi, and others from IISc Bangalore, IISCER Bhopal, and IIT Jammu

Abstract: This project aims to setting up a 6-node intercity hybrid quantum network, develop, integrate, and demonstrate quantum key distribution (QKD) solutions, including analytical and simulation framework, for secure communication in a field-deployed quantum network. Further, it will demonstrate entanglement-based QKD solutions and networking functionalities such as switching, swapping, and teleportation, and develop chip-based QKD solutions, QRNG and entanglement sources, leading to trusted-node-free solutions.  

Cognitive Reconfigurable Optical Networking Systems   

Funded by the IIT Roorkee, India, PI, 2024-2026. Funding Amount 2M INR, i.e., 20 Lakhs

Abstract: This project aims to develop reconfigurable optical datacenter and high-performance computing systems using P4 electronic and optical switches to develop and evaluate various network architecture and machine learning algorithms.

RIS-Enabled Hybrid RF/VLC System for Improving QoE 

Funded by the TTDF, India, Co-PI, 2024-2027. Funding Amount 22.9M INR, i.e., 2.29 Crores 

Collaborator: Prof. Abhay Kumar Sah, IIT Roorkee 

Abstract: This project aims to develop efficient switching techniques to optimize the performance of hybrid RF/VLC setup by reducing the switching delay and providing a seamless user experience. Further to improve the link reliability of the VLC system we plan to use meta surface/mirror-based RIS panels to enable a good reflective environment and boosts the users’ overall QoE.