TY - DATA T1 - Data and code for "A Modular Quantum Network Architecture for Integrating Network Scheduling with Local Program Execution." PY - 2025/03/21 AU - Thomas R. Beauchamp AU - Hana Jirovská AU - Scarlett Gauthier AU - S.D.C. (Stephanie) Wehner UR - DO - 10.4121/71317dee-089c-4507-8f85-6a4718c4b8d7.v1 KW - Quantum Networks KW - Quantum Network Architecture KW - Scheduling KW - star network KW - end-to-end entanglement KW - Generate-when-requested network N2 -
Data used to produce Figures 8 and 9 in Beauchamp et al. "A Modular Quantum Network Architecture for Integrating Network Scheduling with Local Program Execution." (2025) arXiv: 2503.12582. The data collected are the results from our simulation of an implementation of our quantum network architecture on a star topology network, using a scheduling algorithm based on earliest deadline first scheduling. We collect data on the proportion of demands which obtained minimal service, as well as the latency to obtain service and the utilisation of the resources in the network. We used this data to perform a proof-of-concept evaluation of our network architecture. We also provide the Python 3.10 code which was used to create the datasets.
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