As an important technology of the quantum detection, the quantum synchronization detection is always used in the detection or measurement of some quantum systems. A probing model is established to describe the probing of a qubit system in the cavity field and to reveal the effect of the environment (cavity) on the quantum synchronization occurrence, as well as the interactions among environment, a qubit system, and probing equipment. By adjusting the frequency of the probe, the in-phase, anti-phase, and out-of-phase synchronization can be achieved. Simultaneously, the effect of γ3${\gamma }_{3}$ which describes the interaction strength between the probe and environments for quantum synchronization is discussed under different Ohmic dissipation index s . Finally, the machine learning method is applied to present an optimization for classification and regression of synchronization transition dependent on s and γ3${\gamma }_{3}$.

中文翻译：

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机器学习研究探针和腔体对量子同步的影响

量子同步检测作为一种重要的量子检测技术，一直被用于某些量子系统的检测或测量中。建立探测模型，以描述腔场中的量子位系统的探测，并揭示环境（腔）对量子同步发生的影响，以及环境，量子位系统和探测设备之间的相互作用。通过调整探头的频率，可以实现同相，反相和异相同步。同时，讨论了在不同欧姆耗散指数s下描述探针与量子同步环境之间相互作用强度的γ3$ {\γ} _ {3} $的影响。最后，