用于量子点阵列电荷态跃迁自动发现的凸多面体估计
Estimation of Convex Polytopes for Automatic Discovery of Charge State Transitions in Quantum Dot Arrays
摘要：
在基于自旋的量子点阵列中，材料或制造的不精确性会影响器件的行为，在控制器件时必须考虑这一点。这需要测量特定凸多面体的形状。在这项工作中，我们提出了一个算法，自动发现的凸多面体的小平面从测量的数量，形状和大小。模拟设备以及真实的2x2自旋量子比特阵列的结果表明，我们可以可靠地找到凸多面体的刻面，包括尺寸与测量精度相当的小刻面。
英文摘要：
In spin based quantum dot arrays, material or fabrication imprecisions affect the behaviour of the device, which must be taken into account when controlling it. This requires measuring the shape of specific convex polytopes. In this work, we present an algorithm that automatically discovers count, shape and size of the facets of a convex polytope from measurements. Results on simulated devices as well as a real 2x2 spin qubit array show that we can reliably find the facets of the convex polytopes, including small facets with sizes on the order of the measurement precision.
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