论文标题
补偿受控量子系统中的非线性畸变
Compensating for non-linear distortions in controlled quantum systems
论文作者
论文摘要
受控量子系统的预测设计和优化方法取决于系统模型的准确性。实验平台中输入字段的任何变形都会改变模型的精度，并最终破坏预测的动力学。这些扭曲可能是非线性的，具有强频率依赖性，因此与微观量子系统相互作用的场与输入信号的相似度有限。我们提出了一种估计这些变形的有效方法，该方法适用于任意长度和大小的非线性传递函数，只要可用的训练数据具有足够的光谱成分。使用二次估计，我们成功地测试了单个Rydberg原子系统的数值示例的方法。从提出的方法中估计的转移函数被合并到开环控制优化算法中，允许在量子实验中进行高保真操作。
Predictive design and optimization methods for controlled quantum systems depend on the accuracy of the system model. Any distortion of the input fields in an experimental platform alters the model accuracy and eventually disturbs the predicted dynamics. These distortions can be non-linear with a strong frequency dependence so that the field interacting with the microscopic quantum system has limited resemblance to the input signal. We present an effective method for estimating these distortions which is suitable for non-linear transfer functions of arbitrary lengths and magnitudes provided the available training data has enough spectral components. Using a quadratic estimation, we have successfully tested our approach for a numerical example of a single Rydberg atom system. The transfer function estimated from the presented method is incorporated into an open-loop control optimization algorithm allowing for high-fidelity operations in quantum experiments.
