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arXiv 2306.03340quant-phphysics.atom-ph

13能级囚禁离子量子位(qudit)的控制与读出

Control and Readout of a 13-level Trapped Ion Qudit

Pei Jiang Low, Brendan White, Crystal Senko

AI总结:

本文在 $^{137}\ ext{Ba}^{+}$ 囚禁离子中实现多达13个计算态 qudit 的控制与单次读出,并表明协议可扩展至25能级,为高维大规模量子计算提供基础。

摘要:

为了实现能够展示量子优越性的有用量子算法,我们必须将目前已展示的量子计算机显著扩展规模。诸如囚禁离子等领先平台在纳入更多信息载体方面面临物理挑战。一条较少被探索的扩大计算空间的途径,是利用囚禁离子丰富的能级结构来编码多能级 qudit,而不是二能级 qubit。在此,我们展示了对多达13个计算态的 qudit 的控制和单次读出,所用协议可直接扩展,以在我们选择的信息载体 $^{137}\ ext{Ba}^{+}$ 中操控多达25个能级的 qudit。与此前囚禁离子方面的工作相比,这意味着每个 qudit 的计算态数量增加了一倍以上。除了我们展示的制备和读出协议之外,通用量子计算还需要其他量子逻辑基本操作,例如纠缠门。这些基本操作已在较低 qudit 维度上得到展示,并可直接推广到我们采用的更高维度。因此,我们的进展为利用高维 qudit 进行大规模量子计算开辟了道路。我们预期,高效利用囚禁离子中的可用能态,将在应对扩展囚禁离子量子计算机计算空间的挑战方面发挥重要且互补的作用。qudit 架构还带来其他实际益处,包括为量子纠错提供更宽松的容错阈值、为高自旋系统的高效量子模拟提供途径,以及更高效的 qubit 门。

英文摘要:

To implement useful quantum algorithms which demonstrate quantum advantage, we must scale currently demonstrated quantum computers up significantly. Leading platforms such as trapped ions face physical challenges in including more information carriers. A less explored avenue for scaling up the computational space involves utilizing the rich energy level structure of a trapped ion to encode multi-level qudits rather than two-level qubits. Here we show control and single-shot readout of qudits with up to 13 computational states, using protocols which can be extended directly to manipulate qudits of up to 25 levels in our chosen information host, $^{137}\text{Ba}^{+}$. This represents more than twice as many computational states per qudit compared with prior work in trapped ions. In addition to the preparation and readout protocols we demonstrate, universal quantum computation requires other quantum logic primitives such as entangling gates. These primitives have been demonstrated for lower qudit dimensions and can be directly generalized to the higher dimensions we employ. Hence, our advance opens an avenue towards using high-dimensional qudits for large-scale quantum computation. We anticipate efficiently utilizing available energy states in a trapped ion to play a significant and complementary role in tackling the challenge in scaling up the computational space of a trapped ion quantum computer. A qudit architecture also offers other practical benefits, which include affording relaxed fault tolerance thresholds for quantum error correction, providing an avenue for efficient quantum simulation of higher spin systems, and more efficient qubit gates.

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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