论文标题
用于搜索双极单频量子脉冲序列的遗传算法以控制量子
Genetic algorithm for searching bipolar Single-Flux-Quantum pulse sequences for qubit control
论文作者
论文摘要
如今，大多数超导量子处理器都使用了transmon类型的电荷量子。他们需要实施节能Qubit状态控制方案。一种有希望的方法是使用具有单频量子（SFQ）脉冲的超导数字电路。 SFQ脉冲控制序列的持续时间通常大于常规微波驱动脉冲的持续时间，但可以针对具有已知参数的系统优化其长度。在这里，我们引入了一种用于单极或双极SFQ控制序列搜索的遗传算法，以最大程度地减少从计算子空间中的量子状态泄漏。该算法还能够以重复子序列的形式找到解决方案，以便在控制芯片上保存内存。它的并行实现可以在合理时间内从实际范围内的任意系统参数找到适当的序列。该算法由围绕轴的旋转门的示例用一个角度$π/2 $，而保真度超过99.99％。在本文中，我们介绍了单量系统的结果，但是将来我们将采用开发的方法来研究两个量子位的系统。
Nowadays most of superconducting quantum processors use charge qubits of a transmon type. They require implementation of energy efficient qubit state control scheme. A promising approach is the use of superconducting digital circuits operating with single-flux-quantum (SFQ) pulses. The duration of SFQ pulse control sequence is typically larger than that of conventional microwave drive pulses but its length can be optimized for the system with known parameters. Here we introduce a genetic algorithm for unipolar or bipolar SFQ control sequence search that minimize qubit state leakage from the computational subspace. The algorithm is also able to find a solution in the form of a repeating subsequence in order to save memory on the control chip. Its parallel implementation can find the appropriate sequence for arbitrary system parameters from a practical range in a reasonable time. The algorithm is illustrated by the example of the rotation gate around the axis by an angle $π/2$ with fidelity over 99.99%. In this paper, we present the results for a single-qubit system, but in the future we will apply the developed approach to study a system of two qubits.
