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International Conference on Consumer Electronics

Entanglement-Reusable Dynamic Routing for Quantum Networks

Jun Wu, Songshi Dou, Kwan Lawrence Yeung

Published Jan 11, 2025• 1 citation
Publisher

Abstract

As a novel form of network structure, quantum networks can be considered nodes equipped with limited quantum memory units connected via lossy optical links. To fully unleash the potentials of quantum networks in applications such as distributed quantum computing, quantum key distribution, etc., an efficient quantum routing mechanism is vital for discovering multiple path solutions that deliver overall higher communication opportunities. Existing quantum routing algorithms focus on the “contention-free” strategy, which may result in restricted throughput gains. In this paper, we propose a novel metric called reusable factor to evaluate the probability that the reserved quantum resources for a candidate path can still offer available channels for other potential available paths even after path assignments. Further, a new Entanglement-Reusable Dynamic Routing Algorithm (ERDRA) is proposed to enable the multiple assignment of quantum entanglement. Simulation results demonstrate that Erdra achieves solid performance gains over state-of-the-art algorithms under various network settings.

DOI
10.1109/icce63647.2025.10929901

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As a novel form of network structure, quantum networks can be considered nodes equipped with limited quantum memory units connected via lossy optical links. To fully unleash the potentials of quantum networks in applications such as distributed quantum computing, quantum key distribution, etc., an efficient quantum routing mechanism is vital for discovering multiple path solutions that deliver overall higher communication opportunities. Existing quantum routing algorithms focus on the “contention-free” strategy, which may result in restricted throughput gains. In this paper, we propose a novel metric called reusable factor to evaluate the probability that the reserved quantum resources for a candidate path can still offer available channels for other potential available paths even after path assignments. Further, a new Entanglement-Reusable Dynamic Routing Algorithm (ERDRA) is proposed to enable the multiple assignment of quantum entanglement. Simulation results demonstrate that Erdra achieves solid performance gains over state-of-the-art algorithms under various network settings.
Quantum network can provide end-to-end entanglements through quantum operations, supporting various quantum applications such as quantum key distribution and distributed quantum computing. However, many previous proposals for quantum networks assumed the division of quantum network into time slots and batch processing of network communication tasks, performing poorly in dynamic network scenarios and not fully utilizing network resources. This work focuses on the routing problem in entanglement quantum networks, aiming to provide more efficient end-to-end entanglement establishment for upper-layer applications. We propose an on-demand routing algorithm that dynamically adjusts the optimal path based on the current network conditions. Specifically, we consider the benefits of path width for quantum networks and propose an algorithm for finding the shortest wide path. Using this algorithm, each node establishes its own routing table. Additionally, to dynamically avoid network hotspots, we introduce the concept of traffic to reflect the busyness of nodes. Finally, using a dynamic cost calculation method as the routing metric, we select the optimal path for the current request. To evaluate the performance of the proposed quantum routing algorithm, we conducted simulation experiments on SimQN quantum simulation platform. The results show that our approach improves network throughput by 14 percent compared to existing solutions.
New capabilities enabled by quantum networks, e.g. quantum key distribution, rely on the concurrent quantum entanglements via multiple untrusted repeaters between the source-destination pairs, which is known as quantum routing. Existing quantum routing algorithms pre-assign the free qubits to specific paths, in order to avoid resource contention in the process of entanglement swapping. Since not all pre-assigned qubits can be utilized, the resource fragmentation problem caused can limit the network throughout. In this paper, a new fragmentation-aware entanglement routing (FER) algorithm is proposed. With FER, the entangled qubits are shared by all the paths, and the resource contention problem is solved by a priority connection mechanism. Simulation results show that FER consistently outperforms existing algorithms under different network settings.
Scheduling in quantum networks involves strategically allocating quantum resources to maximize entanglement distribution efficiency and overall performance. Unlike classical networks, quantum systems lack conventional buffering mechanisms, making traditional scheduling paradigms less effective. Existing quantum network algorithms predominantly focus on routing algorithms to identify optimal entanglement paths, often neglecting timeslot scheduling for mitigating resource contention and transmission latency, particularly under multi-user environments. To address these challenges, we propose a routing algorithm tightly integrated with priority-based dynamic scheduling. The algorithm not only discovers efficient entanglement paths but also optimizes resource utilization for concurrent requests. Simulation results confirm that this approach conserves quantum resources, reduces latency, and substantially boosts network performance, providing a robust solution for multi-user quantum environments.
Quantum networks are gaining momentum in finding applications in a wide range of domains. However, little research has investigated the potential of a quantum network framework to enable highly reliable communications. The goal of this work is to investigate and design the multiple-entanglement routing framework, namely k-entangled routing. In particular, the kkk-entangled routing will enable k paths connecting all demands (source-destination pairs) in the network. To design the kkk-entangled routing, we propose two algorithms that are called Sequential Multi-path Scheduling Algorithm and Min-Cut-based Multi-path Scheduling Algorithm. In addition, we evaluate the performance of the proposed algorithms and models through a realistic quantum network simulator, NetSquid, that models the stochastic processes underlying quantum communications. The results show that the proposed algorithms (SMPSA and MCSA) largely enhance the network's traffic flexibility. The proposed paradigms would lay the foundation for further research on the area of entanglement routing.
This paper presents a novel algorithm for optimizing the allocation of entangled resources within quantum networks. The core of the approach lies in employing a reinforcement learning (RL) framework to dynamically manage and distribute entanglement, addressing the inherent challenges of maximizing utilization and enhancing quantum communication efficiency. Unlike traditional static allocation methods, the proposed RL agent learns optimal allocation strategies through iterative interaction with a simulated quantum network environment. The algorithm considers factors such as node connectivity, qubit availability, and communication delays to minimize resource wastage and improve overall network performance. The key performance indicator (KPI) is the entanglement fidelity between communicating nodes. The developed algorithm offers a promising pathway towards realizing the full potential of quantum networks by intelligently managing their most valuable asset: entanglement. The primary goal is to achieve higher fidelity entanglement distribution and improved communication rates. The effectiveness of the algorithm is evaluated through simulations, demonstrating its ability to outperform existing allocation schemes in various network topologies and operational scenarios.
Abstract Remote quantum entanglement can enable numerous applications including distributed quantum computation, secure communication, and precision sensing. We consider how a quantum network—nodes equipped with limited quantum processing capabilities connected via lossy optical links—can distribute high-rate entanglement simultaneously between multiple pairs of users. We develop protocols for such quantum “repeater” nodes, which enable a pair of users to achieve large gains in entanglement rates over using a linear chain of quantum repeaters, by exploiting the diversity of multiple paths in the network. Additionally, we develop repeater protocols that enable multiple user pairs to generate entanglement simultaneously at rates that can far exceed what is possible with repeaters time sharing among assisting individual entanglement flows. Our results suggest that the early-stage development of quantum memories with short coherence times and implementations of probabilistic Bell-state measurements can have a much more profound impact on quantum networks than may be apparent from analyzing linear repeater chains. This framework should spur the development of a general quantum network theory, bringing together quantum memory physics, quantum information theory, quantum error correction, and computer network theory.