A central design challenge for future generations of wireless networks is to meet the ever-increasing demand for capacity, throughput, and connectivity. While significant progress has been made in designing advanced wireless technologies, the current computational capacity at base stations to support them has been consistently identified as the bottleneck, due to limitations in processing time. Quantum computing is a potential tool to address this computational challenge. It exploits unique information processing capabilities based on quantum mechanics to perform fast calculations that are intractable by traditional digital methods. In this talk, I will present design directions of quantum compute-enabled base station systems in wireless networks and introduce our prototype systems that are implemented on real-world quantum processors. The prototypes are designed for quantum-accelerated near-optimal wireless signal processing in Multiple-Input Multiple-Output (MIMO) systems that could drastically increase wireless performance for tomorrow's next-generation wireless cellular networking standards, as well as in next-generation wireless local area networks. I will provide design guidance of quantum, quantum-inspired classical, and hybrid classical-quantum optimization in the systems with underlying principles and technical details and discuss future research directions based on the current challenges and opportunities.

Minsung Kim is a postdoctoral associate in the Department of Computer Science at Yale University. He received his Ph.D. in Computer Science from Princeton University and his B.E. in Electrical Engineering (Great Honor) from Korea University. His research focuses on quantum and emerging computing systems for next-generation wireless networks. His work has been published in the premier venues of mobile computing and wireless networking such as ACM SIGCOMM and MobiCom. He is a recipient of the Qualcomm Innovation Fellowship, the Princeton SEAS Award for Excellence, and the Siebel Scholars Award. He will join the Department of Computer Science and WINLAB at Rutgers University this fall as an assistant professor.