arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2108.10656cond-mat.mes-hall
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从稀疏测量中自主估计高维库仑钻石

Autonomous estimation of high-dimensional Coulomb diamonds from sparse measurements

Anasua Chatterjee, Fabio Ansaloni, Torbjørn Rasmussen, Bertram Brovang, Federico Fedele, Heorhii Bohuslavskyi, Oswin Krause, Ferdinand Kuemmeth

摘要:

量子点阵列具有由库仑能量控制的基态,由单独占据的量子点显著利用,每个量子点实现自旋量子位。对于这样的量子处理器,基态之间的受控转换具有操作意义,因为这些允许控制阵列内的量子信息,例如量子位初始化和纠缠门。对于少点阵列,传统上通过在控制电压空间中执行密集光栅扫描测量来映射出基态。这些变得不切实际的较大的阵列,由于大量的测量需要采样的高维栅电压超立方体和提取的信息相对较少。我们开发了一种基于反射测量的硬件触发检测方法,以获得直接对应于基态之间跃迁的测量值。这些测量稀疏地分布在高维电压空间内,通过执行由学习算法提出的线搜索。我们的自主软件-硬件算法准确地估计库仑阻塞边界的多面体,实验证明在2 $\times$ 2硅量子点阵列。

英文摘要:

Quantum dot arrays possess ground states governed by Coulomb energies, utilized prominently by singly occupied quantum dots, each implementing a spin qubit. For such quantum processors, the controlled transitions between ground states are of operational significance, as these allow the control of quantum information within the array such as qubit initialization and entangling gates. For few-dot arrays, ground states are traditionally mapped out by performing dense raster-scan measurements in control-voltage space. These become impractical for larger arrays due to the large number of measurements needed to sample the high-dimensional gate-voltage hypercube and the comparatively little information extracted. We develop a hardware-triggered detection method based on reflectometry, to acquire measurements directly corresponding to transitions between ground states. These measurements are distributed sparsely within the high-dimensional voltage space by executing line searches proposed by a learning algorithm. Our autonomous software-hardware algorithm accurately estimates the polytope of Coulomb blockade boundaries, experimentally demonstrated in a 2$\times$2 array of silicon quantum dots.

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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