论文标题
高保真捕获 - 离子量子计算的有效运动模式表征
Efficient motional-mode characterization for high-fidelity trapped-ion quantum computing
论文作者
论文摘要
为了在大型量子计算机上实现高保真操作，必须有效地以高精度来有效地表征物理系统的参数。对于捕获的离子，量子位之间的纠缠是由离子链的运动模式介导的，因此表征动作模式参数的动作模式至关重要。在本文中，我们开发和探索物理模型，这些模型可以准确地预测羔羊 - dicke参数的大小和符号，当时探测了模式{\ it在并行}中。与仅使用模式光谱法的常规方法相比，我们进一步设计了一种高级表征协议，该方案将表征时间缩短了不仅仅是数量级。我们讨论了我们的结果的潜在影响，以开发通过系统级资源交易的镜头来开发可伸缩的离子量子计算机。
To achieve high-fidelity operations on a large-scale quantum computer, the parameters of the physical system must be efficiently characterized with high accuracy. For trapped ions, the entanglement between qubits are mediated by the motional modes of the ion chain, and thus characterizing the motional-mode parameters becomes essential. In this paper, we develop and explore physical models that accurately predict both magnitude and sign of the Lamb-Dicke parameters when the modes are probed {\it in parallel}. We further devise an advanced characterization protocol that shortens the characterization time by more than an order of magnitude, when compared to that of the conventional method that only uses mode spectroscopy. We discuss potential ramifications of our results to the development of a scalable trapped-ion quantum computer, viewed through the lens of system-level resource trade offs.
