Paper: ๐๐ถ๐๐๐ฟ๐ถ๐ฏ๐๐๐ฒ๐ฑ ๐ค๐๐ฎ๐ป๐๐๐บ ๐๐ผ๐บ๐ฝ๐๐๐ถ๐ป๐ด โ ๐ฃ๐ผ๐๐ฒ๐ฟ ๐ง๐ผ๐ด๐ฒ๐๐ต๐ฒ๐ฟ
20 Oct 2025
20 Oct 2025
๐๐ถ๐๐๐ฟ๐ถ๐ฏ๐๐๐ฒ๐ฑ ๐ค๐๐ฎ๐ป๐๐๐บ ๐๐ผ๐บ๐ฝ๐๐๐ถ๐ป๐ด: ๐ ๐ผ๐ฟ๐ฒ ๐ฃ๐ผ๐๐ฒ๐ฟ ๐ง๐ต๐ฟ๐ผ๐๐ด๐ต ๐๐ผ๐น๐น๐ฎ๐ฏ๐ผ๐ฟ๐ฎ๐๐ถ๐ผ๐ป
How can several smaller quantum computers be connected so that they work together as one powerful system? This idea is called Distributed Quantum Computing (DQC). It could make it possible to run much larger and more powerful algorithms than a single chip could handle on its own.
In our new work, we studied how different architectures of variational quantum circuits (VQCs) behave in such a distributed setting, specifically in the context of a classification task from Quantum Machine Learning (QML) within DQC. Using simulations, we tested how circuits perform when multiple quantum processors are linked, and how much entanglement between them is actually required.
The results show that circuits with a smart balance of local and global entanglement are more robust to noise than standard approaches. This suggests that well-designed circuit architectures could enable distributed quantum computing to achieve better results in the near future.
Our paper "Evaluating Variational Quantum Circuit Architectures for Distributed Quantum Computing" has been accepted at IEEE QAI 2025 and is available as a preprint here: https://arxiv.org/pdf/2509.12005
The paper was authored by Leo Sรผnkel, Jonas Stein, Jonas Nรผรlein, Tobias Rohe, and Claudia Linnhoff-Popien.
Supported by the Bavarian Ministry of Economic Affairs (6GQT project) and the German Federal Ministry of Research, Technology and Space (BMFTR).