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This study provides a critical benchmark for the reliability of open-source quantum network simulators by cross-validating QuISP and SeQUeNCe against fundamental networking tasks like entanglement generation and swapping. The analysis reveals that while these tools exhibit constant-factor differences in task latency due to varying connection models, they consistently agree on resource fidelity under identical error parameters, establishing a robust foundation for future protocol development.
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Cross-Validation of Open-Source Quantum Network Simulators

arXiv2 min de cititArticolul și perspectiva sunt în engleză.

arXiv:2610.09322v1 Announce Type: new Abstract: We present a comparative analysis of two open-source quantum network simulators, QuISP and SeQUeNCe, focusing on cross-validation of basic networking tasks to ensure consistency and accuracy in simulation outputs. Although both simulators are designed to study quantum network management policies and their dynamics under complex noise models, their differing underlying assumptions can lead to variations in simulation results. We highlight the discrepancies in how the two simulators handle connections, internal network node processing time, and classical communication, resulting in significant quantitative and qualitative differences in the time required to perform basic network tasks such as entanglement generation, purification, and swapping. We simulate common scenarios between the simulators to compare both the latency of resource distribution and the fidelity of the distributed resources. Our findings indicate that while the simulators differ in the time required to complete network tasks---a constant factor difference attributable to their respective connection models---they agree on the fidelity of the distributed resources under identical error parameters. This work demonstrates a crucial first step towards enhancing the reliability and reproducibility of quantum network simulations, as well as leading to full protocol development. Furthermore, our benchmarking methodology establishes a foundational set of tasks for the cross-validation of simulators to study future quantum networks.

Authors:Joaquin Chung (1 and 2), Michal Hajdušek (3), Naphan Benchasattabuse (3), Robert J. Hayek (1 and 4), Alexander Kolar (1 and 2), Ansh Singal (1 and 4), Kento Samuel Soon (3), Kentaro Teramoto (5), Allen Zang (1 and 2), Caitao Zhan (1), Raj Kettimuthu (1 and 2), Rodney Van Meter (3) ((1) Argonne National Laboratory, (2) University of Chicago, (3) Keio University, (4) Northwestern University, (5) Mercari Inc.)

Abstract:We present a comparative analysis of two open-source quantum network simulators, QuISP and SeQUeNCe, focusing on cross-validation of basic networking tasks to ensure consistency and accuracy in simulation outputs. Although both simulators are designed to study quantum network management policies and their dynamics under complex noise models, their differing underlying assumptions can lead to variations in simulation results. We highlight the discrepancies in how the two simulators handle connections, internal network node processing time, and classical communication, resulting in significant quantitative and qualitative differences in the time required to perform basic network tasks such as entanglement generation, purification, and swapping. We simulate common scenarios between the simulators to compare both the latency of resource distribution and the fidelity of the distributed resources. Our findings indicate that while the simulators differ in the time required to complete network tasks---a constant factor difference attributable to their respective connection models---they agree on the fidelity of the distributed resources under identical error parameters. This work demonstrates a crucial first step towards enhancing the reliability and reproducibility of quantum network simulations, as well as leading to full protocol development. Furthermore, our benchmarking methodology establishes a foundational set of tasks for the cross-validation of simulators to study future quantum networks.

arXiv:2610.09322 [quant-ph]

(or arXiv:2610.09322v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2610.09322 arXiv-issued DOI via DataCite (pending registration)

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