Quantum ML/Opt

Our group is working on using quantum machine learning and quantum optimization in various applications such as 6G wireless networks, drug discovery, healthcare, ocean, climate change etc.

Awards

• • Best Paper Award - the 19th IEEE International Wireless Communications & Mobile Computing Conference (IWCMC 2023), June 2023 Marrakesh, Morocco, paper entitled “Quantum Deep Reinforcement Learning for 6G Mobile Edge Computing-based IoT Systems,” by J. A. Ansere, T. Q. Duong, S. R. Khosravirad, V. Sharma, A. Masaracchia, and O. A. Dobre. 

Grants 

As  Principal Investigator/Co-Investigator

• • 2024 – 2025: “Quantum machine learning and optimization for optimal resource allocation in future wireless networks”, Industry, (PI)

Keynote/Tutorial/Invited Talks

• • Invited speaker, “Quantum Machine Learning-aided 6G Communication and Networking,” IEEE ComSoc 2024 Workshops Series on Emerging 6G Technologies, Nov 2024, London, UK 

  • Invited speaker, “Quantum Machine Learning-aided Next Generation Communications Technologies,” National Sun Yat-sen University, Nov 2024, Taiwan

  • Invited speaker, “Hybrid Quantum-Classical Machine Learning for 6G Channel Estimation and Radio Frequency Fingerprinting,” National Chung Cheng University, Nov 2024, Taiwan 

  • Keynote speaker, “Quantum Machine Learning for 6G Communication and Networking,” The 3rd International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT), Oct 2024, China 

  • Keynote speaker, “Quantum Machine Learning for Revolutionizing 6G Computing-Intensive Communication and Networking,” 4th International Symposium on Electrical, Electronics and Information Engineering (ISEEIE 2024), August, 2024, Leicester, UK

  • Keynote speaker, “Quantum Horizons: Revolutionizing 6G Computing-Intensive Communication and Networking,” 10th International Conference on Industrial Networks and Intelligent Systems (INISCOM 2024), February, 2024

Leadership in Journals, Conferences, and Society

• • Organizer/Chair of 2024 First MUN Symposium of Quantum Communication and Networks, August 13, 2024, St. John's, NL, Canada

  • Editor for Quantum Economics and Finance, Sage Publisher

Publications 

Journals (21) (Students and Post-docs' names are in bold font)

Accepted/Published:

1. B. Hazarika, K. Singh, Member, O. A. Dobre, C.-P. Li, and T Q. Duong, “Quantum-enhanced Federated Learning for Metaverse-empowered Vehicular Networks,” IEEE Trans. on Communications, Nov 2024 (accepted)

2. U. Khalid, J. ur Rehman, T. Q. Duong, O. A. Dobre, and H. Shin, “Quantum Property Learning for NISQ Networks: Universal Quantum Witness Machines,” IEEE Trans. on Communications, September 2024 (accepted)

3. A. Paul, K. Singh, A. Kaushik, C.-P. Li, O. A. Dobre, M. Di Renzo, and T. Q. Duong, “Quantum-Enhanced DRL Optimization for DoA Estimation and Task Offloading in ISAC Systems,” IEEE Journal on Selected Areas on Communications, August, 2024 (accepted)

4. S. N. Paing, F. Zaman, J. ur Rehman, T. Q. Duong, and H. Shin, “Counterfactual Quantum Protocols for Dialogue, Teleportation and Comparison,” IEEE Trans. on Communications, August 2024 (accepted)

5. S. Tariq, B. E. Arfeto, U. Khalid, S. Kim, T. Q. Duong, and H. Shin, “Deep Quantum-Transformer Networks for Multi-Modal Beam Prediction in ISAC Systems,” IEEE Internet of Things Journal, June 2024 (accepted)

6. S. N. Paing, J. W. Setiawan, T. Q. Duong, D. Niyato, M. Win, and H. Shin, “Quantum Anonymous Networking: A Quantum Leap in Privacy,” IEEE Networks, May 2024 (accepted) 

7. M. S. Ulum, U. Khalid, J. W. Setiawan, T. Q. Duong, M. Z. Win, and H. Shin, “Variational Anonymous Quantum Sensing,” IEEE Journal on Selected Areas on Communications, April, 2024 (accepted)

8. S. Tariq, A. Farooq, J. Ur Rehman, T. Q. Duong, and H. Shin, “Efficient Quantum State Estimation with Low-rank Matrix Completion,” EPJ Quantum Technology, vol. 11, no. 50, August 2024, pp. 1 - 12

9. S. Tariq, U. Khalid, B. E. Arfeto, T. Q. Duong, and H. Shin, “Integrating Sustainable Big AI: Quantum Anonymous Semantic Broadcast,” IEEE Wireless Communications Magazine, vol. 31, no.3, June 2024, pp. 86-99

10. J. A. Ansere, E. Gyamfi, V. Sharma, H. Shin, O. A. Dobre, and T. Q. Duong, “Quantum Deep Reinforcement Learning for Dynamic Resource Allocation in Mobile Edge Computing-based IoT Systems,” IEEE Trans. on Wireless Communications, vol. 23, no. 6, June 2024, pp. 6221-6233

11. J. ur Rehman, H. Al-Hraishawi, T. Q. Duong, S. Chatzinotas, and H. Shin, “On Estimating Time-Varying Pauli Noise,” IEEE Trans. on Communications, vol. 72, no. 4, April 2024, pp. 2079-2089 

12. J. A. Ansere, T. T. Dung, O. A. Dobre, H. Shin, G. K. Karagiannidis, and T. Q. Duong, “Energy-Efficient Optimization for Mobile Edge Computing with Quantum Machine Learning,” IEEE Wireless Communications Letter, vol.13, no. 3, March 2024, pp. 661 - 665 

13. S. N. Paing, J. W. Setiawan, M. Asad Ullah, T. Q. Duong, O. A. Dobre, and H. Shin, “Counterfactual Quantum Byzantine Consensus for Human-Centric Metaverse,” IEEE Journal on Selected Areas in Communications, vol. 42, no. 4, April 2024, pp. 905 - 918

14. U. Khalid, J. ur Rehman, S. N. Paing, T. Q. Duong, and H. Shin, “Quantum Network Engineering in the NISQ Age: Principles, Missions, and Challenges,” IEEE Networks, vol. 38, no. 1, January 2024, pp.112 - 123

15. J. A. Ansere, E. Gyamfi, Y. Li, H. Shin, O. A. Dobre, T. Hoang, and T. Q. Duong, “Optimal Computation Resource Allocation in Energy-Efficient Edge IoT Systems with Deep Reinforcement Learning,” IEEE Transactions on Green Communications and Networking, vol. 7, no. 4, December 2023, pp. 2130 – 2142

16. J. ur Rehman, H. Al-Hraishawi, T. Q. Duong, S. Chatzinotas, and H. Shin, “On Estimating Time-Varying Pauli Noise,” IEEE Trans. on Communications, vol. 72, no. 4, April 2024, pp. 2079-2089 

17. F. Zaman, U. Khalid, T. Q. Duong, H. Shin, and M. Z. Win, “Quantum Full-Duplex Communication,” IEEE Journal on Selected Areas in Communications, April 2023, (accepted) 

18. S. M. A. Rizvi, N. Asif, M. S. Ulum, T. Q. Duong, and H. Shin, “Multiclass Classification of Metrologically Resourceful Tripartite Quantum States with Deep Neural Networks,” Sensor, vol. 22, no. 18, Sept. 2022, pp. 1-18

19. T. Q. Duong, J. A. Ansere, B. Narottama, V. Sharma, O. A. Dobre, and H. Shin, “Quantum-inspired Machine Learning for 6G: Fundamentals, Security, Resource Allocations, Challenges, and Future Research Directions,” IEEE Open Journal of Vehicular Technology, vol. 3, Aug. 2022, pp. 375 – 374,  (invited paper) 

20. T. Q. Duong, L. D. Nguyen, B. Narottama, J. A. Ansere, D. V. Huynh, “Quantum-inspired Real-time Optimisation for 6G: Opportunities, Challenges, and the Road Ahead,” IEEE Open Journal of the Communications Society, vol. 3, Aug. 2022, pp. 1347 – 1359. 

21. N. Asif, U. Khalid, A, Khan, T. Q. Duong, H. Shin, "Entanglement detection with artificial neural networks," Scientific Report, vol. 13, no. 1562, January 2023 

Conferences (9): 

1. B.-N. D. Tran, M. Fahim, A. A. Cheema, S. Czarnuch, B. D. E. McNiven, O. A. Dobre, and T. Q. Duong, “Quantum-based Gated Recurrent Units for Multiclass Classification to Monitor Daily Living Activities for Early Disease Detection,” in Proc. IEEE International Conference on E-health Networking, Application & Services (Healthcom’24), Nara, Japan, Nov. 2024

2. T. T. An, S. L. Cotton, J. Zhang, Y. Ding, and T. Q. Duong, “LoRa Radio Frequency Fingerprinting Using a Hybrid Quantum-Classical Neural Network,” in Proc. of IEEE Vehicular Technology Conference (VTC2024-Fall), Washington DC, Oct. 2024

3. N. Q. T. Thoong, A. A. Cheema, S. R. Khosravirad, O. A. Dobre, T. Q. Duong, “Channel Estimation for Reconfigurable Intelligent Surface-aided 6G NOMA Systems using CNN-based Quantum LSTM Model,” in Proc. of IEEE Vehicular Technology Conference (VTC2024-Fall), Washington DC, Dec. 2024 

4. B.-N. D. Tran, M. Fahim, A. A. Cheema, S. Czarnuch, B. D. E. McNiven, O. A. Dobre, and T. Q. Duong, “Estimation of Energy Expenditure in Wearable Healthcare Technology by Quantum-Based LSTM Modeling,” in Proc. International Conference on Quantum Communications, Networking, and Computing (QCNC‘24), Kanazawa, Japan, July 2024 (invited paper)

5. U. Khalid, T. Q. Duong, and H. Shin, “Artificial Neural Networks for Quantum Sensing: Metrologically Resourceful State Detection,” in Proc. International Conference on Quantum Communications, Networking, and Computing (QCNC‘24), Kanazawa, Japan, July 2024 

6. S. N. Paing, T. Q. Duong, and H. Shin, “Counterfactual Long-Distance Quantum Communication,” in Proc. International Conference on Quantum Communications, Networking, and Computing (QCNC‘24), Kanazawa, Japan, July 2024 

7. N. Q. T. Thoong, A. A. Cheema, O. A. Dobre, and T. Q. Duong, “Quantum Machine Learning Applications for 6G: A Channel Estimation Scenario,” in Proc. 12th IET Colloquium On Antennas, Wireless and Electromagnetics (CAWE), Belfast, UK, May 2024

8. B. Hazarika, K. Singh, T. Q. Duong, and O. A. Dobre, “Quantum-Driven Context-Aware Federated Learning in Heterogeneous Vehicular Metaverse Ecosystem,” in Proc. IEEE International Conference on Communications (ICC'24), Denver, CO, June 2024

9. J. A. Ansere, T. Q. Duong, S. R. Khosravirad, V. Sharma, A. Masaracchia, and O. A. Dobre, “Quantum Deep Reinforcement Learning for 6G Mobile Edge Computing-based IoT Systems,” in Proc. International Wireless Communications & Mobile Computing Conference (IWCMC’23), Marrakesh, Morocco, June 2023 (best paper award)