Toward Scalable Quantum Systems: Distributability, Consensus, and Modular Architectures for Industry Applications
Quantum Software & Infrastructure

Toward Scalable Quantum Systems: Distributability, Consensus, and Modular Architectures for Industry Applications

22 September 2026, 17:00 - 17:20

Quantum Expert

Keynote

Quantum computing is rapidly emerging as a transformative technology with far-reaching implications for business and industry. As efforts intensify toward building practical and cost-effective quantum systems, two fundamental challenges arise: achieving scalable architectures with minimal control overhead, and enabling the efficient execution of algorithms across increasingly modular and distributed quantum hardware. Addressing these challenges is critical for realizing quantum advantage in real-world, industry-relevant applications.

In this presentation, we will showcase a portfolio of our research projects focused on advancing Distributed Quantum Computing and quantum networked systems. We introduce a quantitative framework for assessing the distributability of quantum algorithms, based on their asymptotic remote resource requirements. By modeling the allocation of qubits to Quantum Processing Units (QPUs) as a graph partitioning problem formulated through integer quadratic programming, we analyze a broad class of scalable algorithms and identify structural patterns that determine their suitability for distributed execution.

Additionally, we explore quantum consensus and information redistribution in quantum networks governed by random unitary dynamics. We present a unified framework for analyzing quantum consensus protocols and introduce theoretical tools to characterize the asymptotic behavior of information flow and the classification of globally accessible information that can be locally extracted across network nodes.

Together, these contributions demonstrate how principled approaches to distributability and consensus can enhance the scalability, efficiency, and robustness of quantum systems. We conclude by discussing the importance of developing quantum system architectures and algorithmic strategies that are inherently distribution-aware, enabling industry to prepare for the transition toward large-scale, networked quantum computing.