This workshop explores systems and infrastructure for Distributed Quantum Computing (DQC), with an emphasis on how coordinated design enables scalable multi-QPU execution. Attendees will gain insights into integrating physical, network, system, and application layers to improve scalability, reliability, and overall efficiency in DQC.

As quantum computing systems continue to scale, DQC has emerged as a promising paradigm to overcome the limitations of individual quantum processors. Multiple quantum processing units (QPUs) are interconnected through quantum networks, enabling them to collaboratively execute computational tasks that exceed the capabilities of a single device. This shift from isolated processors to interconnected systems represents a fundamental step toward scalable quantum computing.

However, current approaches largely treat system layers in isolation, separating physical-layer constraints, network protocols, and application-level execution, which leads to inefficiencies in scalability and reliability. By explicitly connecting these layers, cross-layer approaches capture the interplay between hardware limitations, communication processes, and application requirements — enabling more efficient and scalable system designs. The long-term vision is to enable efficient quantum data centers and networked quantum systems that support large-scale scientific and industrial applications.