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arXiv quant-ph/0607053quant-phcond-mat.dis-nn
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囚禁离子链中的抗错分布式量子计算

Error-Resistant Distributed Quantum Computation in Trapped Ion Chain

Sibylle Braungardt, Aditi Sen De, Ujjwal Sen, Maciej Lewenstein

备注：
10 pages, 7 figures, RevTeX4; v2: another noise model analysed, published version
发表信息：
Phys. Rev. A 76, 042307 (2007)
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摘要：

我们考虑实验可行的链与伪自旋1/2的被困离子，并找到模型，可以潜在地用于实现抗错误的量子计算。与经典神经网络的精神相似，系统的抗错误性是通过对分布在整个系统中的量子比特进行编码来实现的。因此，我们称我们的系统为“量子神经网络”，并提出了“量子计算的量子神经网络模型”。量子比特被编码在整个系统的几个准简并的低能级中，它们与激发态之间有很大的能隙，并且它们之间有很大的能垒。我们调查协议实现一套通用的量子逻辑门的系统中，绝热通过几个低的能级的整个系统。系统中自然出现的和潜在危险的分布噪声使计算的保真度几乎不变，如果它不是太强的话。计算也自然地对自旋的局部扰动有弹性。

英文摘要：

We consider experimentally feasible chains of trapped ions with pseudo-spin 1/2, and find models that can potentially be used to implement error-resistant quantum computation. Similar in spirit to classical neural networks, the error-resistance of the system is achieved by encoding the qubits distributed over the whole system. We therefore call our system a ''quantum neural network'', and present a ''quantum neural network model of quantum computation''. Qubits are encoded in a few quasi-degenerated low energy levels of the whole system, separated by a large gap from the excited states, and large energy barriers between themselves. We investigate protocols for implementing a universal set of quantum logic gates in the system, by adiabatic passage of a few low-lying energy levels of the whole system. Naturally appearing and potentially dangerous distributed noise in the system leaves the fidelity of the computation virtually unchanged, if it is not too strong. The computation is also naturally resilient to local perturbations of the spins.

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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