A Modular Quantum Network Architecture for Integrating Network Scheduling with Local Program Execution
- URL: http://arxiv.org/abs/2503.12582v1
- Date: Sun, 16 Mar 2025 17:24:25 GMT
- Title: A Modular Quantum Network Architecture for Integrating Network Scheduling with Local Program Execution
- Authors: Thomas R. Beauchamp, Hana Jirovská, Scarlett Gauthier, Stephanie Wehner,
- Abstract summary: We propose an architecture for scheduling network operations enabling the end-to-end generation of entanglement according to user demand.<n>A key element of this architecture is the definition of an entanglement packet to meet application requirements on near-term quantum networks.<n>We show our architecture facilitates the execution of quantum network applications, and that robust admission control is required to maintain quality of service.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We propose an architecture for scheduling network operations enabling the end-to-end generation of entanglement according to user demand. The main challenge solved by this architecture is to allow for the integration of a network schedule with the execution of quantum programs running on processing end nodes in order to realise quantum network applications. A key element of this architecture is the definition of an entanglement packet to meet application requirements on near-term quantum networks where the lifetimes of the qubits stored at the end nodes are limited. Our architecture is fully modular and hardware agnostic, and defines a framework for further research on specific components that can now be developed independently of each other. In order to evaluate our architecture, we realise a proof of concept implementation on a simulated 6-node network in a star topology. We show our architecture facilitates the execution of quantum network applications, and that robust admission control is required to maintain quality of service. Finally, we comment on potential bottlenecks in our architecture and provide suggestions for future improvements.
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