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- Title
Machine learning studies for the effects of probes and cavity on quantum synchronization.
- Authors
Meng, Qing-Yu; Hu, Yong; Yang, Qing; Zhu, Qin-Sheng; Li, Xiao-Yu
- Abstract
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 γ 3 ${\gamma }_{3}$ 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 γ 3 ${\gamma }_{3}$.
- Subjects
MACHINE learning; SYNCHRONIZATION; INDUCTIVE effect; QUANTUM measurement
- Publication
Zeitschrift für Naturforschung Section A: A Journal of Physical Sciences, 2021, Vol 76, Issue 5, p395
- ISSN
0932-0784
- Publication type
Article
- DOI
10.1515/zna-2020-0303