研究目的
Investigating the effects of laser intensity noise suppression on the preparation and characterization of the audio-frequency squeezed vacuum state of light.
研究成果
The study successfully suppressed the intensity fluctuation of 795-nm NIR and 397.5-nm UV lasers, improving the squeezing level of the squeezed vacuum state of light. The relationship between bandwidth, sampling power, and feedback effect was investigated, showing that narrower bandwidth and larger sampling power yield better suppression effects. The findings have significant implications for precise measurements and quantum information processing.
研究不足
The feedback bandwidth and sampling power limitations affect the suppression effect. Additional noise introduced by the circuit in the loop of the system appears at certain frequencies, and the squeezing level is not improved beyond the feedback bandwidth.
1：Experimental Design and Method Selection:
The study implemented two feedback loops using acousto-optical modulators (AOM) to stabilize the intensity of 795-nm NIR and 397.5-nm UV lasers. The methodology involved stabilizing laser intensity to improve the squeezing level of the squeezed vacuum state of light.
2：5-nm UV lasers. The methodology involved stabilizing laser intensity to improve the squeezing level of the squeezed vacuum state of light.
Sample Selection and Data Sources:
2. Sample Selection and Data Sources: The experiment utilized a continuous-wave single-frequency tunable Ti:Sapphire laser as the source for 795-nm NIR and 397.5-nm UV lasers.
3：5-nm UV lasers.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: Key equipment included AOMs, polarization-maintaining fibers, polarization beam splitters, beam splitters, photodetectors, and servo control systems.
4：Experimental Procedures and Operational Workflow:
The process involved dividing the laser beam into two parts for stabilization and monitoring, using AOMs for feedback control, and characterizing the noise suppression effects in both time and frequency domains.
5：Data Analysis Methods:
The feedback effects were characterized using a digital multimeter for time domain analysis and a fast-Fourier-transformation (FFT) dynamic spectrum analyzer for frequency domain analysis.
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