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arXiv 2305.09855quant-phcs.NI
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可扩展的量子中继器部署建模

Scalable Quantum Repeater Deployment Modeling

Tasdiqul Islam, Engin Arslan

AI总结:

针对广域量子网络中量子中继器部署成本高昂的问题,提出新颖的启发式模型快速确定大规模网络中最少中继器数量以实现端到端连接,在接近最优解的同时大幅缩短执行时间并保障网络可靠性。

摘要:

长距离量子通信面临巨大挑战,因为维持量子比特的保真度十分困难。该问题可通过使用量子中继器进行Bell测量来传输纠缠信息来解决。然而,尽管实现广域量子网络必须部署量子中继器,但其部署成本极其高昂,因此开发能在成本与有效性之间取得平衡的量子中继器部署模型至关重要。在本研究中,我们提出了新颖的启发式模型,能快速确定在大型网络中部署的最少量子中继器数量,以在所有终端主机间提供端到端连接。结果表明,与线性规划方法相比,启发式方法能找到接近最优的解,且在SURFnet和ESnet等多个合成及真实网络上评估时,执行时间从数天缩短至数秒。鉴于可靠性是任何网络的关键,我们还证明了该启发式方法能确定可承受多达两次链路/节点故障的部署模型。

英文摘要:

Long-distance quantum communication presents a significant challenge as maintaining the fidelity of qubits can be difficult. This issue can be addressed through the use of quantum repeaters to transmit entanglement information through Bell measurements. However, despite its necessity to enable wide-area quantum internet, the deployment cost of quantum repeaters can be prohibitively expensive, thus it is important to develop a quantum repeater deployment model that can strike a balance between cost and effectiveness. In this work, we present novel heuristic models to quickly determine a minimum number of quantum repeaters to deploy in large-scale networks to provide end-to-end connectivity between all end hosts. The results show that, compared to the linear programming approach, the heuristic methods can find near-optimal solutions while reducing the execution time from days to seconds when evaluated against several synthetic and real-world networks such as SURFnet and ESnet. As reliability is key for any network, we also demonstrate that the heuristic method can determine deployment models that can endure up to two link/node failures.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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