论文标题

与多旋风算法的无缺陷原子阵列的平行组装

Parallel assembly of arbitrary defect-free atom arrays with a multi-tweezer algorithm

论文作者

Tian, Weikun, Wee, Wen Jun, Qu, An, Lim, Billy Jun Ming, Datla, Prithvi Raj, Koh, Vanessa Pei Wen, Loh, Huanqian

论文摘要

无缺陷原子阵列是量子信息处理和量子模拟的重要前体。然而,由于重新安排随机加载原子以实现所需的靶阵列时遇到的损失,大规模无缺陷的原子阵列可能具有挑战性。在这里,我们演示了一种新型的平行重排算法,该算法使用多个移动镊子独立分类和压缩原子阵列,以自然避免原子碰撞的方式进行压缩。与单特威算法和现有的多圈算法相比,我们的算法具有高度的并行性,我们的算法具有降低的移动复杂性。我们进一步确定并行性的最佳程度是算法加速和多扭质不均匀效应之间的平衡。在多个重排后,在室温设置中,在室温设置中,证明225个原子阵列的无缺陷概率高达33(1)%。可以针对具有基础周期性结构的任何目标阵列几何形状实现此处介绍的算法。

Defect-free atom arrays are an important precursor for quantum information processing and quantum simulation. Yet, large-scale defect-free atom arrays can be challenging to realize, due to the losses encountered when rearranging stochastically loaded atoms to achieve a desired target array. Here, we demonstrate a novel parallel rearrangement algorithm that uses multiple mobile tweezers to independently sort and compress atom arrays in a way that naturally avoids atom collisions. With a high degree of parallelism, our algorithm offers a reduced move complexity compared to both single-tweezer algorithms and existing multi-tweezer algorithms. We further determine the optimal degree of parallelism to be a balance between an algorithmic speedup and multi-tweezer inhomogeneity effects. The defect-free probability for a 225-atom array is demonstrated to be as high as 33(1)% in a room temperature setup after multiple cycles of rearrangement. The algorithm presented here can be implemented for any target array geometry with an underlying periodic structure.

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