量子中继器的交换容量
On the Swapping Capacity of a Quantum Repeater
AI总结：
该研究针对受最小保真度约束的量子中继器，采用排队模型，结合量子链路特性与相关动力学，以存储器中纠缠最大等待时间为优化变量，最大化端到端纠缠吞吐量。
AI中文摘要：
我们研究基于存储器的量子中继器在两个量子链路之间进行纠缠交换时的容量，其中量子链路具有单个或多个存储器，我们将其称为端到端（E2E）纠缠吞吐量，且受限于最小保真度约束。为了近似E2E纠缠吞吐量，我们采用排队模型，其中量子链路可具有不同特性：存储器容量、纠缠尝试率与成功概率，以及经典通信延迟。我们开发了一个用于估算E2E纠缠保真度的模型，同时考虑量子存储器的异质性退相和退极化动力学、纠缠交换中的贝尔态测量，以及经典通信延迟和噪声。最后，借助我们用于近似E2E纠缠吞吐量和保真度的模型，我们将中继器处量子存储器中纠缠的最大等待时间作为优化变量，以最大化E2E纠缠吞吐量，同时确保满足所需的最小E2E保真度。
英文摘要：
We study the capacity of a memory-based quantum repeater in entanglement swapping between two quantum links with either single or multiple memories, which we refer to as the end-to-end (E2E) entanglement throughput, subject to a constraint on the minimum fidelity. In order to approximate the E2E entanglement throughput, we adopt queueing models, where quantum links can have different characteristics: memory capacities, entanglement attempt rates and success probabilities, as well as classical communication latencies. We develop a model for estimating E2E entanglement fidelity, while taking into account the heterogeneous dephasing and depolarizing dynamics of quantum memories and Bell-state measurements in entanglement swapping as well as classical communication delays and noises. Finally, with the help of our models for approximating the E2E entanglement throughput and fidelity, we use the maximum waiting times of entanglements in quantum memories at the repeater as optimization variables to maximize the E2E entanglement throughput while ensuring required minimum E2E fidelity.
