24–27 March 2025, Mico Milano Congressi, Milan, Italy
Workshop: Quantum Computing for Communications and Learning
IEEE WCNC 2025 Workshop
Call for Papers
Quantum computing has rapidly evolved, progressing from theoretical foundations in the 1980s to current hardware capable of managing hundreds of qubits. While still in its early stages, advances in noisy intermediate-scale quantum (NISQ) devices show promise in outperforming classical systems in specific applications, including quantum machine learning (QML), variational quantum algorithms (VQAs), and Hamiltonian simulations.
This growth extends beyond QML, influencing quantum communications and optimization, with innovations like quantum key distribution (QKD) providing unprecedented security. Quantum technologies have the potential to revolutionize next-generation communication networks, optimizing network performance, enhancing data security, and enabling distributed quantum machine learning (QML).
Significant advancements in quantum signal processing are shaping areas like speech recognition, natural language processing, and reinforcement learning. These technologies demonstrate the growing impact of quantum artificial intelligence (QAI) in cybersecurity and communication networks.
This workshop aims to bring together experts to discuss integrating quantum computing with communication networks and machine learning. Topics will include quantum communication protocols, quantum network optimization, and quantum-enhanced machine learning, showcasing how quantum technologies can transform these fields.
Topics
We invite submissions on topics related the utilization of quantum computing, QML, and quantum communications to enhance the performance and optimize the design and operation of next-generation communication networks and machine learning systems, the scope of the workshop focuses on (but is not limited to) the following major lines of fundamental research and development areas pertaining to advanced edge machine learning:
Quantum communications and quantum key distribution for 6G security
Quantum optimization for resource allocation in wireless communication networks
Co-existence between quantum communications and 6G network infrastructure (quantum-enhanced terahertz communications and reconfigurable intelligent surfaces)
Quantum entanglement distribution for synchronization and timing in 6G networks
Distributed quantum sensing networks for positioning and navigation in 6G wireless communication networks
Case studies and practical implementations of quantum machine learning in 6G communication networks
Quantum machine learning for IoT and edge computing applications over 6G networks
Quantum communications and quantum machine learning for autonomous mobility
Quantum federated learning over 6G wireless communication networks
Quantum reinforcement learning and entanglement distribution for distributed systems over 6G networks
Important Dates
Paper submission deadline: 1 December 2024
Paper acceptance notifications: 15 January 2025
Camera ready version due: 1 February 2025
Organizing Team
Organizing Committee
Mahdi Chehimi, American University of Beirut, Lebanon
Muhammad Ismail, Tennessee Tech University, USA
Joongheon Kim, Korea University, Korea
Min-Hsiu Hsieh, Foxconn Quantum Computing Center, Taipei, Taiwan
Fan Chen, Indiana University Bloomington, USA
Huan-Hsin Tseng, Brookhaven National Laboratory, USA
Samuel Yen-Chi Chen, Wells Fargo Bank, USA
Program Committee
Joongheon Kim, Korea University, Korea
Su Fong Chien, MIMOS Berhad, Malaysia
Jun Qi, Hong Kong Baptist University, Hong Kong
Chao-Han Huck Yang, NVIDIA, Taiwan
Nitish K. Panigrahy, Binghamton University, Binghamton, USA