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The dqc_simulator toolkit addresses a critical bottleneck in the field by providing accessible Python-based tools for evaluating distributed quantum computing architectures. This resource facilitates robust benchmarking of both hardware and software components, directly supporting the development of scalable quantum solutions.
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dqc_simulator: an easy-to-use distributed quantum computing simulator

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arXiv:2604.13909v2 Announce Type: replace Abstract: Distributed quantum computing (DQC) is a promising proposal for overcoming the scalability challenges of quantum computing. However, the evaluation of DQC hardware and software is difficult due to the relative dearth of classical simulation tools available for DQC devices. In this work, we introduce dqc_simulator, a novel simulation toolkit, written in Python, which automates many of the most challenging aspects of the DQC simulation workflow. dqc_simulator enables the easy simulation of both hardware and software, making it easy to create realistic and robust tests and benchmarks for the full DQC stack.

Abstract:Distributed quantum computing (DQC) is a promising proposal for overcoming the scalability challenges of quantum computing. However, the evaluation of DQC hardware and software is difficult due to the relative dearth of classical simulation tools available for DQC devices. In this work, we introduce dqc_simulator, a novel simulation toolkit, written in Python, which automates many of the most challenging aspects of the DQC simulation workflow. dqc_simulator enables the easy simulation of both hardware and software, making it easy to create realistic and robust tests and benchmarks for the full DQC stack.

arXiv:2604.13909 [quant-ph]

(or arXiv:2604.13909v2 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2604.13909 Focus to learn more arXiv-issued DOI via DataCite

https://doi.org/10.1016/j.softx.2026.102911 Focus to learn more DOI(s) linking to related resources

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