Laser & Optoelectronics Progress, Volume. 61, Issue 21, 2127003(2024)

Preparation of Twin Beam with Bessel Distribution and Investigation of Its Self-Healing Property

Wenhui Li1, Na Wang1, Chun Ma1, Meihong Wang1,2, and Xiaolong Su1,2、*
Author Affiliations
  • 1State Key Laboratory of Quantum Optics and Quantum Optics Devices, Institute of Opto-Electronics, Shanxi University, Taiyuan 030006, Shanxi , China
  • 2Collaborative Innovation Center of Extreme Optics, Taiyuan 030006, Shanxi , China
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    A twin beam is a type of bright entangled optical field that has important applications in the field of quantum information. An optical beam with a spatial structure similar to a Bessel distribution possesses the property of self-healing, and its Bessel distribution can be recovered after encountering an obstacle. In this study, a low-threshold non-degenerate optical parametric oscillator with a threshold of 60 mW was proposed and developed. Based on the proposed non-degenerate optical parametric oscillator that works above the threshold, we generated a twin beam exhibiting a Gaussian distribution, yielding a power of 8 mW and an intensity difference squeezing of 5.1 dB. Subsequently, we prepared a twin beam with zero-order Bessel distribution, featuring 5 dB intensity difference squeezing, using a Bessel converter. Furthermore, we investigated its self-healing property after encountering an obstacle. The results showed that while the Bessel distribution of the twin beam was recovered, the intensity difference squeezing decreased due to obstacle-induced loss. Thus, the results of this study serve as a reference for the application of twin beams with Bessel distribution.

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    Wenhui Li, Na Wang, Chun Ma, Meihong Wang, Xiaolong Su. Preparation of Twin Beam with Bessel Distribution and Investigation of Its Self-Healing Property[J]. Laser & Optoelectronics Progress, 2024, 61(21): 2127003

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    Paper Information

    Category: Quantum Optics

    Received: Feb. 23, 2024

    Accepted: Mar. 14, 2024

    Published Online: Nov. 18, 2024

    The Author Email: Xiaolong Su (suxl@sxu.edu.cn)

    DOI:10.3788/LOP240840

    CSTR:32186.14.LOP240840

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