Scheduling Quantum Teleportation with Noisy Memories

Scheduling Quantum Teleportation with Noisy Memories
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DOI:
10.1109/qce53715.2022.00065
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发表时间:
2022-05
期刊:
2022 IEEE International Conference on Quantum Computing and Engineering (QCE)
影响因子:
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通讯作者:
Aparimit Chandra;W. Dai;D. Towsley
Aparimit Chandra;W. Dai;D. Towsley
中科院分区:
其他
文献类型:
--
作者:
Aparimit Chandra;W. Dai;D. Towsley

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量子传送通道可以克服光子损失的影响,这是量子网络通过纤维实施的主要挑战。传送通道是通过在两个节点之间分配纠缠状态的,这是一个需要经典交流的概率过程。这会导致关键的延迟,可能会导致信息丢失,因为量子数据存储在内存中时会遭受分解。在这项工作中,由于噪声存储器平台中的Qubits存储,我们量化了量子网络节点上的屈服的影响。我们将存储平台建模为一个缓冲区,该缓冲区存储了传入的量子位,以等待传送通道的创建。内存平台以变形速率和缓冲区大小为参数化。我们表明,节点上的保真度是术语的线性总和,随时间呈指数衰减,其中衰减率取决于内存平台的分流率。这使我们能够利用拉普拉斯变换来得出相对于内存平台的负载,缓冲区大小和偏移率的平均忠诚度的可计算函数。我们证明,以缓冲区溢出管理的推出,以最大的平均富裕度为止。最后,我们将此框架应用于单个中继器节点来建模,以计算该中继器创建的端到端纠缠的平均保真度,假设该中继器假设出现了完美的门操作。
Quantum teleportation channels can overcome the effects of photonic loss, a major challenge in the implementation of a quantum network over fiber. Teleportation channels are created by distributing an entangled state between two nodes, which is a probabilistic process requiring classical communication. This causes critical delays that can cause information loss as quantum data suffers from decoherence when stored in memory. In this work, we quantify the effect of decoherence on fidelity at a node in a quantum network due to the storage of qubits in noisy memory platforms. We model a memory platform as a buffer that stores incoming qubits waiting for the creation of a teleportation channel. Memory platforms are parameterized with decoherence rate and buffer size. We show that fidelity at a node is a linear sum of terms, exponentially decaying with time, where the decay rate depends on the decoherence rate of the memory platform. This allows us to utilize Laplace transforms to derive computable functions of average fidelity with respect to the load, buffer size, and decoherence rate of the memory platform. We prove that serving qubits in a Last In First Out order with pushout for buffer overflow management maximizes average fidelity. Last, we apply this framework to model a single repeater node to calculate the average fidelity of the end-to-end entanglement created by this repeater assuming perfect gate operations.