Towards Optimal Orders for Entanglement Swapping in Path Graphs: A Greedy Approach

Fuente: arXiv
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Autores principales: Mai, Van Sy, Amlou, Abderrahim, Abane, Amar, Battou, Abdella
Formato: Preprint
Publicado: 2025
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author Mai, Van Sy
Amlou, Abderrahim
Abane, Amar
Battou, Abdella
author_facet Mai, Van Sy
Amlou, Abderrahim
Abane, Amar
Battou, Abdella
contents This paper considers the problem of finding an optimal order for entanglement swapping in a heterogeneous path of quantum repeaters so as to maximize the path throughput defined as the delivery rate of end-to-end entanglements. The primary difficulty in addressing this problem lies in the vast array of possible swapping orders for large paths and the complexity of the expected throughput, which depends on the attributes of each node and edge along the path, as well as the order of swapping. To cope with these issues, we first propose simple approximations in estimating the swapping outcome between two entanglement distributions that can run in constant time, thereby providing an efficient approach for evaluating and comparing different swapping orders, allowing us to solve the problem exactly for small paths. Second, as the number of possible orders grows exponentially with the number of repeaters in the path, we develop an efficient heuristic based on the greedy selection of nodes to sequentially perform swaps according to their swapping scores, defined as the expected number of entanglements resulting from their swaps. The scores are local but dynamic in the sense that they depend not just on the entanglement distributions available on the path but also on prior swapping decisions. Finally, we illustrate the efficiency and effectiveness of our proposed model and approach through extensive experimentation conducted using a general quantum network simulator.
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publishDate 2025
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spellingShingle Towards Optimal Orders for Entanglement Swapping in Path Graphs: A Greedy Approach
Mai, Van Sy
Amlou, Abderrahim
Abane, Amar
Battou, Abdella
Quantum Physics
Systems and Control
This paper considers the problem of finding an optimal order for entanglement swapping in a heterogeneous path of quantum repeaters so as to maximize the path throughput defined as the delivery rate of end-to-end entanglements. The primary difficulty in addressing this problem lies in the vast array of possible swapping orders for large paths and the complexity of the expected throughput, which depends on the attributes of each node and edge along the path, as well as the order of swapping. To cope with these issues, we first propose simple approximations in estimating the swapping outcome between two entanglement distributions that can run in constant time, thereby providing an efficient approach for evaluating and comparing different swapping orders, allowing us to solve the problem exactly for small paths. Second, as the number of possible orders grows exponentially with the number of repeaters in the path, we develop an efficient heuristic based on the greedy selection of nodes to sequentially perform swaps according to their swapping scores, defined as the expected number of entanglements resulting from their swaps. The scores are local but dynamic in the sense that they depend not just on the entanglement distributions available on the path but also on prior swapping decisions. Finally, we illustrate the efficiency and effectiveness of our proposed model and approach through extensive experimentation conducted using a general quantum network simulator.
title Towards Optimal Orders for Entanglement Swapping in Path Graphs: A Greedy Approach
topic Quantum Physics
Systems and Control
url https://arxiv.org/abs/2504.14040