物理
光子
可扩展性
瓶颈
探测器
神经形态工程学
量子
领域(数学)
量子传感器
纳米技术
量子力学
灵敏度(控制系统)
光电子学
工程物理
光学
量子计算机
计算机科学
电子工程
人工智能
量子网络
嵌入式系统
工程类
人工神经网络
数学
数据库
材料科学
纯数学
作者
Simone Bianconi,Hooman Mohseni
标识
DOI:10.1088/1361-6633/ab72e5
摘要
Infrared detection and imaging are key enabling technologies for a vast number of applications, ranging from communication, to medicine and astronomy, and have recently attracted interest for their potential application in optical interconnects and quantum computing. Nonetheless, infrared detection still constitutes the performance bottleneck for several of these applications, due to a number of unsolved challenges, such as limited quantum efficiency, yield and scalability of the devices, as well as limited sensitivity and low operating temperatures. The current commercially dominating technologies are based on planar semiconducting PIN or avalanche detectors. However, recent developments in semiconductor technology and nano-scale materials have enabled significant technological advancement, demonstrating the potential for groundbreaking achievements in the field. We review the recent progress in the most prominent novel detection technologies, and evaluate their advantages, limitations, and prospects. We further offer a perspective on the main fundamental limits on the detectors sensitivity, and we discuss the technological challenges that need to be addressed for significative advancement of the field. Finally, we present a set of potential system-wide strategies, including nanoscale and low-dimensional detectors, light coupling enhancement strategies, advanced read-out circuitry, neuromorphic and curved image sensors, aimed at improving the overall imagers performance.
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