论文标题
在未知的非马克维亚量子噪声的情况下，对量子的多轴控制
Multi-Axis Control of a Qubit in the Presence of Unknown Non-Markovian Quantum Noise
论文作者
论文摘要
在本文中，我们考虑了对Qubit的开环控制问题，该量子耦合到未知的完全量子非马克维亚噪声（玻感或费米子）的问题。从测量数据中获得经验获得的灰盒模型被采用大约代表未知的量子噪声。然后，估计的模型用于计算脉冲振幅和时机约束下的开环控制脉冲。为了进行控制脉冲优化，我们探讨了梯度下降和遗传优化方法的使用。我们考虑有限抽样对估计可观察结果的预期值的影响，并显示了量子量的单轴控制的结果。
In this paper, we consider the problem of open-loop control of a qubit that is coupled to an unknown fully quantum non-Markovian noise (either bosonic or fermionic). A graybox model that is empirically obtained from measurement data is employed to approximately represent the unknown quantum noise. The estimated model is then used to calculate the open-loop control pulses under constraints on the pulse amplitude and timing. For the control pulse optimization, we explore the use of gradient descent and genetic optimization methods. We consider the effect of finite sampling on estimating expectation values of observables and show results for single- and multi-axis control of a qubit.
