噪音(视频)
物理
消散
信号(编程语言)
量子噪声
光学
极限(数学)
控制理论(社会学)
量子
计算机科学
统计物理学
量子力学
数学
数学分析
控制(管理)
人工智能
图像(数学)
程序设计语言
作者
Changwei Wang,Wei Niu,Yang Zhang,Jiong Cheng,Wen-Zhao Zhang
出处
期刊:Optics Express
[Optica Publishing Group]
日期:2023-03-10
卷期号:31 (7): 11561-11561
被引量:4
摘要
Quantum squeezing-assisted noise suppression is a promising field with wide applications. However, the limit of noise suppression induced by squeezing is still unknown. This paper discusses this issue by studying weak signal detection in an optomechanical system. By solving the system dynamics in the frequency domain, we analyze the output spectrum of the optical signal. The results show that the intensity of the noise depends on many factors, including the degree or direction of squeezing and the choice of the detection scheme. To measure the effectiveness of squeezing and to obtain the optimal squeezing value for a given set of parameters, we define an optimization factor. With the help of this definition, we find the optimal noise suppression scheme, which can only be achieved when the detection direction exactly matches the squeezing direction. The latter is not easy to adjust as it is susceptible to changes in dynamic evolution and sensitive to parameters. In addition, we find that the additional noise reaches a minimum when the cavity (mechanical) dissipation κ(γ) satisfies the relation κ = Nγ, which can be understood as the restrictive relationship between the two dissipation channels induced by the uncertainty relation. Furthermore, by taking into account the noise source of our system, we can realize high-level noise suppression without reducing the input signal, which means that the signal-to-noise ratio can be further improved.
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