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arXiv 2408.08243quant-phcs.NI
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从纠缠纯化调度到保真度约束的多流路由

From Entanglement Purification Scheduling to Fidelity-constrained Multi-Flow Routing

Ziyue Jia, Lin Chen

AI总结:

本文研究量子网络中的纠缠纯化调度与路由问题,提出了单跳最优纯化调度算法、多跳purify-and-swap策略的最优性条件,以及构建ε-最优保真度约束路径的多项式时间算法,并通过仿真验证了有效性。

摘要:

量子网络作为一种颠覆性的网络范式最近兴起,它依赖于神秘的量子纠缠来隐形传态量子比特,而无需物理转移量子粒子。然而,由于环境噪声,量子系统的状态极其脆弱。对抗量子退相干的一种有前景的技术是纠缠纯化。为了充分利用其优势,需要回答两个基本研究问题:(1) 给定一条纠缠路径,最优的纠缠纯化调度是什么?(2) 如何在保真度约束下计算最小代价的端到端纠缠路径?本文对这两个问题给出了算法解决方案。对于第一个问题,我们为单跳情况开发了一种最优纠缠纯化调度算法,并通过建立其最优性的闭式条件,分析了多跳情况下的 purify-and-swap 策略。对于第二个问题,我们设计了一种多项式时间算法来构建 $ε$-最优的保真度约束路径。大量仿真也数值验证了我们算法的有效性。

英文摘要:

Recently emerged as a disruptive networking paradigm, quantum networks rely on the mysterious quantum entanglement to teleport qubits without physically transferring quantum particles. However, the state of quantum systems is extremely fragile due to environment noise. A promising technique to combat against quantum decoherence is entanglement purification. To fully exploit its benefit, two fundamental research questions need to be answered: (1) given an entanglement path, what is the optimal entanglement purification schedule? (2) how to compute min-cost end-to-end entanglement paths subject to fidelity constraint? In this paper, we give algorithmic solutions to both questions. For the first question, we develop an optimal entanglement purification scheduling algorithm for the single-hop case and analyze the \textsc{purify-and-swap} strategy in the multi-hop case by establishing the closed-form condition for its optimality. For the second question, we design a polynomial-time algorithm constructing an $ε$-optimal fidelity-constrained path. The effectiveness of our algorithms are also numerically demonstrated by extensive simulations.

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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