Related papers: High-speed photon correlation monitoring of amplified quantum noise by chaos using deep-learning balanced homodyne detection

High-speed photon correlation monitoring of amplified quantum noise by chaos using deep-learning balanced homodyne detection

URL: http://arxiv.org/abs/2307.02868v2
Date: Sat, 15 Jul 2023 02:03:15 GMT
Title: High-speed photon correlation monitoring of amplified quantum noise by chaos using deep-learning balanced homodyne detection
Authors: Yanqiang Guo, Zinan Hu, Jianchao Zhang, Chenyu Zhu, Xiaomin Guo
Abstract summary: Precision experimental determination of photon correlation requires massive amounts of data and extensive measurement time. We present a technique to monitor second-order photon correlation $g(2)(0)$ of amplified quantum noise based on wideband balanced homodyne detection and deep-learning acceleration. The quantum noise is effectively amplified by an injection of weak chaotic laser and the $g(2)(0)$ of the amplified quantum noise is measured with a real-time sample rate of 1.4 GHz.
Score: 0.0
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: Precision experimental determination of photon correlation requires the massive amounts of data and extensive measurement time. We present a technique to monitor second-order photon correlation $g^{(2)}(0)$ of amplified quantum noise based on wideband balanced homodyne detection and deep-learning acceleration. The quantum noise is effectively amplified by an injection of weak chaotic laser and the $g^{(2)}(0)$ of the amplified quantum noise is measured with a real-time sample rate of 1.4 GHz. We also exploit a photon correlation convolutional neural network accelerating correlation data using a few quadrature fluctuations to perform a parallel processing of the $g^{(2)}(0)$ for various chaos injection intensities and effective bandwidths. The deep-learning method accelerates the $g^{(2)}(0)$ experimental acquisition with a high accuracy, estimating 6107 sets of photon correlation data with a mean square error of 0.002 in 22 seconds and achieving a three orders of magnitude acceleration in data acquisition time. This technique contributes to a high-speed and precision coherence evaluation of entropy source in secure communication and quantum imaging.

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