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arXiv 2407.02145quant-ph
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噪声模块化量子网络中的状态传输

State Transfer in Noisy Modular Quantum Networks

Markku Hahto, Jyrki Piilo, Johannes Nokkala

AI总结:

本文研究了噪声模块化量子网络中的高斯态传输,通过比较两种噪声模型对网络拓扑和组成的影响,发现模块化网络比单块网络更具鲁棒性,并提出了相应的噪声补偿策略。

摘要:

量子状态传输是指将量子信息从量子网络中的一个系统传输到另一个系统,而无需物理传输量子信息的载体,而是通过设计哈密顿量,使得发送方的状态通过整个网络的动力学传输给接收方。量子状态传输的一种推广称为量子路由,它涉及量子网络中多对节点之间的同时传输,这对其结构施加了限制。在本文中,我们考虑了在具有模块化结构的噪声量子网络上传输高斯态,这种结构已被确认为量子状态路由的合适平台。我们比较了两种噪声模型,它们分别影响网络拓扑或网络组成成分,并研究了它们对传输保真度和网络特性的影响。我们发现这两种模型影响网络的不同特征,从而能够对噪声进行识别和量化。随后,我们利用这些特征作为指导,采取不同的策略来补偿噪声,并检验了这些补偿策略的性能。我们的结果表明,总体而言,模块化网络比单块网络对噪声更具鲁棒性。

英文摘要:

Quantum state transfer is the act of transferring quantum information from one system in a quantum network to another without physically transporting carriers of quantum information, but instead engineering a Hamiltonian such that the state of the sender is transferred to the receiver through the dynamics of the whole network. A generalization of quantum state transfer called quantum routing concerns simultaneous transfers between multiple pairs in a quantum network, imposing limitations on its structure. In this article we consider transfer of Gaussian states over noisy quantum networks with modular structure, which have been identified as a suitable platform for quantum state routing. We compare two noise models, affecting either the network topology or the network constituents, studying their effects on both the transfer fidelities and the network properties. We find that the two models affect different features of the network allowing for the identification and quantification of the noise. We then use these features as a guide towards different strategies for the compensation of the noise, and examine how the compensation strategies perform. Our results show that in general, modular networks are more robust to noise than monolithic ones.

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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