依赖拓扑的中继器图态中纠缠提取增强
Topology-Dependent Enhancement of Entanglement Extraction in Repeater Graph States
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中文总结 AI 辅助
本研究针对中继器图态（RGS）仅能提取单个贝尔对的瓶颈，探究其拓扑对纠缠提取的影响，发现低至中等边密度时贝尔对产量最高，网络跳数增加需更高内部量子比特连接性以维持产量。
中文摘要 AI 辅助
量子中继器是实现长距离量子通信的核心，可克服光子损耗导致的纠缠指数衰减问题。传统中继器架构依赖物理量子存储器，会引入退相干并带来显著的实际实现挑战。中继器图态（Repeater Graph State, RGS）架构是一种有前景的无存储器替代方案，天生对光子损耗具有鲁棒性。实现RGS的关键挑战在于需要高效的图态生成器和复杂的量子比特测量。本研究旨在探索通过RGS的量子比特连接从其结构中提取最大数量贝尔对的策略，以解决RGS的著名瓶颈问题——从完全二分图态中仅能提取单个贝尔对。通过模拟，我们观察到提取的贝尔对最大数量取决于其连接拓扑，其中贝尔对产量在低至中等边密度时趋于最大。随着网络跳数增加，RGS必须配备更高的内部量子比特连接性，以维持足够的可提取贝尔对产量。因此，预期的资源需求转向使用具有更高内部量子比特连接性的RGS。
英文摘要
Quantum repeaters are essential for establishing long-distance quantum communication to overcome the exponential decay of entanglement due to photon loss. Traditional repeater architectures rely on physical quantum memory, which introduces decoherence and poses significant practical implementation challenges. The repeater graph state (RGS) architecture offers a promising memory-less alternative that is inherently resilient to photon losses. A key challenge in implementing RGS lies in the requirement for highly efficient graph state generators and complex qubit measurement. In this work, we aim to investigate the strategies for extracting the maximum number of Bell pairs from the RGS structure via its qubit connection to resolve the well-known bottleneck problem of RGS in which only a single Bell pair can be extracted from a complete bipartite graph state. From simulations, we observe that the maximum number of extracted Bell pairs depends on its connection topology, where the Bell-pair yield tends to be maximal at low to moderate edge densities. As the number of network hops increases, the RGS must be equipped with higher inner-qubit connectivity to maintain a sufficient yield of extractable Bell pairs. Thus, the expected resource requirement shifts toward the use of RGSs with higher inner-qubit connectivity.
发表机构
- Mahidol University（玛希隆大学）
- Keio University（庆应义塾大学）
机构由 AI 辅助整理，请以论文原文为准。
