Automated detection of laser cooling schemes for ultracold molecules

Anna Dawid, Niccolò Bigagli, Daniel W. Savin, Sebastian Will
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Abstract

One of the demanding frontiers in ultracold science is identifying laser cooling schemes for complex atoms and molecules, out of their vast spectra of internal states. Motivated by a need to expand the set of available ultracold molecules for applications in fundamental physics, chemistry, astrochemistry, and quantum simulation, we propose and demonstrate an automated graph-based search approach for viable laser cooling schemes. The method is time efficient and the outcomes greatly surpass the results of manual searches used so far. We discover new laser cooling schemes for C$_2$, OH$^+$, CN, YO, and CO$_2$ that can be viewed as surprising or counterintuitive compared to previously identified laser cooling schemes. In addition, a central insight of this work is that the reinterpretation of quantum states and transitions between them as a graph can dramatically enhance our ability to identify new quantum control schemes for complex quantum systems. As such, this approach will also be applicable to complex atoms and, in fact, any complex many-body quantum system with a discrete spectrum of internal states.
超冷分子激光冷却方案的自动检测
在超冷科学中,一个要求很高的前沿领域是确定复杂原子和分子的激光冷却方案,以摆脱它们巨大的内部状态光谱。为了扩大在基础物理、化学、天体化学和量子模拟中应用的可用超冷分子的集合,我们提出并演示了一种可行的激光冷却方案的自动基于图的搜索方法。该方法省时,结果大大优于目前使用的人工搜索结果。我们发现了C$_2$、OH$^+$、CN、YO和CO$_2$的新激光冷却方案,与以前确定的激光冷却方案相比,这些方案可能令人惊讶或违反直觉。此外,这项工作的一个核心观点是,将量子态和它们之间的跃迁重新解释为图形可以极大地增强我们识别复杂量子系统的新量子控制方案的能力。因此,这种方法也将适用于复杂原子,事实上,任何具有离散内部状态谱的复杂多体量子系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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