Prospects for Using Thermoelectric Single-Photon Detectors in Quantum Information Systems and Astrophysics

A. A. Kuzanyan, A. S. Kuzanyan, V. R. Nikoghosyan
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Abstract

In this paper, we propose the design of detection pixels for single-photon detectors, consisting of absorber and heat sink (Bi-2223), thermoelectric sensors (CeB6), and an antireflection layer (SiO2) located on a dielectric substrate (Al2O3). We employ modeling and simulation to study the heat propagation processes in multi-layer detection pixels following the absorption of photons with energy ranging from 0.8 eV to 1 keV. Calculations are performed using the heat transfer equation within a limited volume, employing the three-dimensional matrix method. We calculate the temperature temporal variation in different areas of the detection pixels, as well as the voltage generated on the sensor, for various thicknesses and surfaces of the detection pixel layers. We determine the maximum signal value, time at which the maximum signal is reached, signal decay time, and the detector’s count rate. We derive equations for Phonon and Johnson noise in the three-layer detection pixel and calculate the total noise. Based on the data obtained, we propose ways to improve the signal-to-noise ratio.

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在量子信息系统和天体物理学中使用热电单光子探测器的前景
摘要 在本文中,我们提出了单光子探测器探测像素的设计方案,它由位于电介质基板(Al2O3)上的吸收器和散热器(Bi-2223)、热电传感器(CeB6)以及抗反射层(SiO2)组成。我们利用建模和仿真技术研究了多层探测像素在吸收能量范围为 0.8 eV 至 1 keV 的光子后的热传播过程。计算采用三维矩阵法,利用有限体积内的传热方程进行。我们计算了检测像素层不同厚度和表面的不同区域的温度时间变化,以及传感器上产生的电压。我们确定了最大信号值、达到最大信号值的时间、信号衰减时间和探测器的计数率。我们推导出三层探测像素中的 Phonon 和 Johnson 噪声方程,并计算出总噪声。根据获得的数据,我们提出了提高信噪比的方法。
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来源期刊
CiteScore
1.50
自引率
11.10%
发文量
25
期刊介绍: The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.
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