For Forthcoming Research on Quantum and Wireless Advanced Networking

Laboratory on Advanced Networking
Professor：LIM, Yuto

E-mail：
［Research areas］
Quantum Network, Wireless Communication System, Cyber-Physical Systems, Energy Distribution
［Keywords］
Quantum, Wireless, Network, Sensor, Energy

Skills and background we are looking for in prospective students

The basic knowledge of English, Mathematics, and Communication Systems and Networks is required. The skills of interpersonal communication, programming, oral presentation, information gathering and interpretation, and caricature drawing are also required.

What you can expect to learn in this laboratory

Students will able to explain their research work clearly and systematically in the fields of quantum and wireless communication and networks. Students also will gain much confidence in their own research work with new, innovative and fruitful ideas of both future quantum and wireless domains. In addition, students will able to express their firm opinions and perform logical discussions among diverse students, scholars, scientists and researchers in wide range of disciplines.

【Job category of graduates】 Information and Communications, IT Industry, Consultancy, and so on.

Research outline

Our research envisions a future communication ecosystem in which quantum and classical networks coexist and synergistically support global-scale, ultra-reliable, and intelligent connectivity. As communication systems evolve beyond conventional performance limits, emerging applications such as distributed quantum computing, ultrasecure communications, massive IoT, and immersive cyber–physical services demand fundamentally new networking paradigms. Addressing these challenges requires not only breakthroughs in reliable quantum information transfer but also flexible, softwaredriven control of heterogeneous network resources. To this end, our work spans two complementary research domains: quantum networks, which establish the physical and protocol foundations for long-distance, high-fidelity qubit communication, and wireless softwarization, which enables dynamic, scalable, and service-aware orchestration of classical communication infrastructures. Together, these efforts aim to build a unified networking framework capable of supporting future global communication systems that seamlessly integrate quantum and classical technologies.

Figure 1: An Illustration of Quantum Networks

1. Quantum Networks

Quantum communication enables the transmission of qubit information between network nodes over long distances. To achieve reliable communication, high-fidelity end-to-end entanglement must first be established. A key challenge is the selection of efficient entanglement routing paths while effectively utilizing limited network resources, which is essential for the development of large-scale quantum networks. In this research, classical error correction techniques that employ redundancy, i.e., repetition codes are adapted for quantum communication to mitigate errors arising from decoherence and other sources of quantum noise, thereby improving the robustness of quantum information transfer.

Figure 2: An Illustration of Wireless Network Softwarization

2. Wireless Softwarization

Network softwarization facilitates the concept of network slicing by decoupling the software that implements network functions, protocols, and services from the underlying hardware. Software-Defined Networking (SDN) and Network Function Virtualization (NFV) are mature technologies that realize this paradigm. These technologies not only enable cost-effective operation and innovative service creation but also fundamentally transform the design, deployment, and management of communication infrastructures, providing the flexibility and scalability required for future wireless networks.

Key publications

1. Z. Cui, Y. Chen, Y. Lim, and T. Taleb, “Joint server allocation and path selection in wireless multihop networks with edge computing,” IEEE Internet of Things Journal, vol. 12, no. 23, pp. 49768-49783, Dec. 2025, DOI: 10.1109/JIOT.2025.3605580.
2. J. Chi, X. Zhou, F. Xiao, Y. Lim and T. Qiu, “Task offloading via prioritized experience-based double dueling DQN in edge-assisted IIoT,” IEEE Transactions on Mobile Computing, vol. 23, no. 12, pp. 14575-14591, Dec. 2024, DOI: 10.1109/TMC.2024.34525023.
3. Y. Lim, Y. Lishuai, and Z. Zhong, “Quantum error corrected fidelity routing design for long-distance quantum networks,” in Proc. of the 11th International Conference on Computing, Networking and Communications (ICNC), 2024, pp. 1149-1153, DOI: 10.1109/ ICNC59896.2024.10556066

Equipment

JAIST Supercomputer (Cray XC40)
JAIST Simulation Testbed Murubushi