Quantum Computing for Distributed Networks: New Paradigms in Control, Computation, and Communications

The rapid evolution of distributed computer and communication networks from cloud computing and IoT to 5G/6G systems places ever-growing demands on computational speed, security, and optimization efficiency. Classical computing paradigms are approaching fundamental limits in solving large-scale network control, routing, and encryption problems. This keynote explores how quantum computing offers a transformative pathway forward.

First, I will introduce the basic principles of quantum computing relevant to distributed systems: superposition, entanglement, and quantum parallelism. I will then focus on three core conference themes:

• Control: How quantum annealing and quantum approximate optimization algorithms (QAOA) can solve large-scale network optimization problems (e.g., traffic flow control, resource allocation) exponentially faster than classical methods.
• Computation: The role of quantum processors as accelerators for distributed computing environments, including hybrid classical quantum architectures for cloud and fog computing nodes.
• Communications: Quantum key distribution (QKD) and its integration into existing communication network protocols to achieve probably secure data transmission, a critical need for next-generation secure infocommunication systems.

I will also discuss current challenges: qubit decoherence, error correction, and the practical realities of interfacing quantum processors with classical network infrastructure. Finally, I will outline emerging research directions at the intersection of quantum information science and distributed networks, including quantum internet prototypes and blind quantum computing for cloud security.

The talk aims to bridge the gap between quantum computing theorists and network engineers, demonstrating why DCCN researchers should consider quantum ready algorithms and protocols today.