当前位置: X-MOL 学术Quantum Sci. Technol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Trapping Ba+ with seven-fold enhanced efficiency utilizing an autoionizing resonance
Quantum Science and Technology ( IF 6.7 ) Pub Date : 2024-05-03 , DOI: 10.1088/2058-9565/ad3f41
Noah Greenberg , Brendan White , Pei Jiang Low , Crystal Senko

Trapped ions have emerged as a front runner in quantum information processing due to their identical nature, all-to-all connectivity, and high fidelity quantum operations. As current trapped ion technologies are scaled, it will be important to improve the efficiency of loading ions, especially when working with long chains of ions or rare isotopes. Here, we compare two different isotope-selective photoionization schemes for loading 138Ba+ ions. We show that a two-step photoionization scheme ending in an autoionizing transition increases the ion loading rate nearly an order of magnitude compared to an established technique which does not excite an autoionizing state. Our novel photoionization scheme can be extended to all isotopes of barium. Given that autoionizing resonances exist in every trapped ion species, exploitation of this process is a promising pathway to increase the loading rates for trapped ion computers.

中文翻译:

利用自电离共振捕获 Ba+,效率提高七倍

由于其相同的性质、全面的连接性和高保真度的量子操作,捕获离子已成为量子信息处理领域的领跑者。随着当前捕获离子技术的规模化,提高离子加载效率非常重要,特别是在处理长链离子或稀有同位素时。在这里,我们比较了两种不同的同位素选择性光电离方案来加载 138+ 离子。我们表明,与不激发自电离态的现有技术相比,以自电离转变结束的两步光电离方案将离子负载率提高了近一个数量级。我们新颖的光电离方案可以扩展到钡的所有同位素。鉴于自电离共振存在于每个俘获离子物种中,利用这一过程是提高俘获离子计算机加载率的一条有前途的途径。
更新日期:2024-05-03
down
wechat
bug