Our group works on performance analysis and signal processing techniques for novel quantum communication systems. Our research focuses on techniques for integrating quantum key distribution (QKD) in 6G wireless networks and Quantum Internet. Our research focuses on the design and analysis of wireless QKD protocols operating at optical and THz frequencies. We also work on developing efficient algorithms for quantum information processing. We also investigate the fundamental capacity limits of wireless quantum channels for transmitting classical and quantum data.
Schematic of CV-QKD Protocol
Relevant Publications:
S. Ramtej Kondamuri, N. K. Kundu and A. Ghanshyala, "Quantum Communication in Weakly Turbulent Channels: Error Analysis and Capacity Bounds," in IEEE Wireless Communications Letters, vol. 13, no. 12, pp. 3658-3662, Dec. 2024. Link
N. K. Kundu, S. P. Dash, M. R. McKay and R. K. Mallik, ``MIMO Terahertz Quantum Key Distribution," in IEEE Communications Letters, vol. 25, no. 10, pp. 3345-3349, Oct. 2021. Link
N. K. Kundu, S. P. Dash, M. R. McKay and R. K. Mallik, "Channel Estimation and Secret Key Rate Analysis of MIMO Terahertz Quantum Key Distribution," in IEEE Transactions on Communications, vol. 70, no. 5, pp. 3350-3363, May 2022. Link
N. K. Kundu, M. R. McKay, A. Conti, R. K. Mallik, and Moe Z. Win, ``MIMO Terahertz Quantum Key Distribution Under Restricted Eavesdropping," in IEEE Transactions on Quantum Engineering, vol. 4, pp. 1-15, May, 2023. Link
N. K. Kundu, M. R. McKay, R. Murch, and R. K. Mallik ``Intelligent Reflecting Surface-Assisted Free Space Optical Quantum Communications," in IEEE Transactions on Wireless Communications, Oct. 2023. Link
N. K. Kundu, M. R. McKay and R. K. Mallik, ``Wireless quantum key distribution at terahertz frequencies: Opportunities and challenges," in IET Quantum Communications pp. 1-12, Jan. 2024. Link
N. K. Kundu, P. Babu, and P. Stoica, ``Majorisation-minimisation algorithm for optimal state discrimination in quantum communications," in IET Quantum Communications pp. 1-7, Aug. 2024. Link
P. Stoica, P. Babu and N. K. Kundu, "Quantum State Discrimination: A Tutorial on Basic Properties of the Optimal Measurement Matrices [Lecture Notes]," in IEEE Signal Processing Magazine, vol. 41, no. 5, pp. 100-110, Sept. 2024. Link
R. Liu, G. G. Rozenman, N. K. Kundu, D. Chandra, and D. De, "Towards the Industrialization of Quantum Key Distribution in Communication Networks: A Short Survey," in IET Quantum Communications, June 2022. Link
G. G. Rozenman, N. K. Kundu, et. al. ``The Quantum Internet: A Synergy of Quantum Information Technologies and 6G Networks," in IET Quantum Communications, Oct. 2023. Link
Our group focuses on developing algorithms for optimal quantum parameter estimation in quantum metrology problems. This includes efficient signal processing for quantum sensing applications using Rydberg atoms and diamond NV centers-based platforms.
Relevant Publications:
N. K. Kundu, M. R. McKay and R. K. Mallik, ``Machine-Learning-Based Parameter Estimation of Gaussian Quantum States," in IEEE Transactions on Quantum Engineering, vol. 3, pp. 1-13, 2022. Link
N. K. Kundu, M. R. McKay, and B. Balaji ``Quantum Enhanced Sensing using Gaussian Quantum States," in IEEE Sensors Applications Symposium (SAS), Jul. 2023. Link
Our group investigates novel signal processing algorithms for emerging physical layer technologies for future 6G Wireless communications. This includes optimal channel estimation protocols and performance analysis for reconfigurable intelligent surfaces (RIS) and MIMO wireless communications. Our group is also interested in investigating the applications of quantum computing algorithms for solving complex optimization problems in 6G wireless networks.
Relevant Publications:
S. Mittal, Y. Chand and N. K. Kundu, "Hybrid Quantum Neural Network Based Indoor User Localization Using Cloud Quantum Computing," 2024 IEEE Region 10 Symposium (TENSYMP), New Delhi, India, 2024, pp. 1-8. Link
N. K. Kundu, and M.R. McKay, ``Channel Estimation for Reconfigurable Intelligent Surface Aided MISO Communications: From LMMSE to Deep Learning Solutions”, in IEEE Open Journal of Communications Society, March, 2021. Link
N. K. Kundu, and M. R. Mckay, ``Large Intelligent Surfaces With Channel Estimation Overhead: Achievable Rate and Optimal Configuration," in IEEE Wireless Communications Letters, vol. 10, no. 5, pp. 986-990, May 2021. Link
N. K. Kundu, Z. Li, J. Rao, S. Shen, M. R. McKay and R. Murch, ``Optimal Grouping Strategy for Reconfigurable Intelligent Surface Assisted Wireless Communications," in IEEE Wireless Communications Letters, vol. 11, no. 5, pp. 1082-1086, May 2022. Link
N. K. Kundu, and M. R. McKay, ``A Deep Learning-Based Channel Estimation Approach for MISO Communications with Large Intelligent Surfaces," IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2020, pp. 1-6. Link
N. K. Kundu, and M. R. McKay, ``RIS-Assisted MISO Communication: Optimal Beamformers and Performance Analysis," 2020 IEEE Globecom Workshops (GC Wkshps), 2020, pp. 1-6. Link
Z. Li, N. K. Kundu, J. Rao, S. Shen, M. R. McKay, and R. Murch, ``Performance Analysis of RIS-Assisted Communications with Element Grouping and Spatial Correlation," IEEE Wireless Communications Letters, Jan. 2023. Link
Z. Li, A. Dubey, S. Shen, N. K. Kundu, J. Rao, and R. Murch, ``Radio Tomographic Imaging with Reconfigurable Intelligent Surfaces," in IEEE Transactions on Wireless Communications, Jul. 2024. Link
N. K. Kundu, R. K. Mallik, and M. R. McKay, ``Signal Design for Frequency-Phase Keying," in IEEE Transactions on Wireless Communications, vol. 19, no. 6, pp. 4067-4079, June 2020. Link