On Utility-optimal Entanglement Routing in Quantum Networks

TL;DR

This paper develops a framework for optimal entanglement routing in quantum networks, formulating the problem as a Mixed-Integer Convex Program and proposing heuristics for practical solutions, advancing quantum network resource management.

Contribution

It introduces a novel optimization framework for quantum entanglement routing that relaxes previous route assumptions and provides scalable heuristics and bounds.

Findings

Exact formulation with negativity as utility measure

Over 99.99% accuracy approximation for other measures

Heuristics outperform baseline methods on real-world networks

Abstract

Quantum networks are envisioned to enable reliable distribution and manipulation of quantum information across distances, forming the foundation of a future quantum internet. The fair and efficient allocation of communication resources in such networks has been addressed through the quantum network utility maximization (QNUM) framework, which optimizes network utility under the assumption of predetermined routes for competing user demands. In this work, we relax this assumption and aim to identify optimal routes that correspond to the maximum achievable network utility. Specifically, we formulate the single-path utility-based entanglement routing problem as a Mixed-Integer Convex Program (MICP). The formulation is exact when negativity is chosen as the entanglement measure for utility quantification or the network supports sufficiently high entanglement generation rates across demands. For other entanglement measures considered, the formulation approximates the problem with over 99.99% accuracy on evaluated real-world examples. To improve computational tractability, we propose a randomized rounding-based heuristic and an upper bound via the relaxation of the MICP. Furthermore, based on min-congestion routing, we introduce an alternative randomized heuristic and upper bound. This heuristic is computationally faster, while both the heuristic and the upper bound often outperform their counterparts on considered real-world networks. Our work provides the framework for extending classical flow-based and quality of service-aware routing concepts to quantum networks.