Malashin Ivan P, Masich Igor S, Tynchenko Vadim S, Borodulin Aleksei S
Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005, Moscow, Russia.
Sci Rep. 2025 Jan 2;15(1):48. doi: 10.1038/s41598-024-83877-4.
This study explores an approach to enhance the performance of qubits by leveraging signal smoothing algorithms applied to qubit chips. The primary aim is to mitigate experimental variability and enhance overall stability, tied to the improvement of the Hamiltonian spectrum. By optimizing qubit operation through smoothing techniques, data processing for subsequent stages of two-tone qubit spectroscopy data transformation is facilitated. Specifically, through the subsequent pipeline of calibration transformations for resonator frequency, qubit frequency, qubit amplitude calibrations, and refinement of qubit frequency via Ramsey oscillations, qubit state calibration can be achieved. This, in turn, improves qubit coherence time during measurement. This is because smoothing allows for a more precise determination of the Hamiltonian spectrum on two-tone spectroscopy maps, thereby enabling more accurate parameter construction.
本研究探索了一种通过利用应用于量子比特芯片的信号平滑算法来提高量子比特性能的方法。主要目标是减轻实验变异性并增强整体稳定性，这与哈密顿量谱的改善相关。通过平滑技术优化量子比特操作，便于对双音量子比特光谱数据变换的后续阶段进行数据处理。具体而言，通过对谐振器频率、量子比特频率、量子比特幅度校准以及通过拉姆齐振荡对量子比特频率进行细化的后续校准变换管道，可以实现量子比特状态校准。这进而改善了测量期间量子比特的相干时间。这是因为平滑允许在双音光谱图上更精确地确定哈密顿量谱，从而能够构建更准确的参数。
