Single Photons - Expanding the Spectrum (SPEXS)

单光子 - 扩展光谱 (SPEXS)

• 批准号: EP/S026428/1
• 负责人: Gerald Buller
• 金额: $ 670.94万
• 依托单位: Heriot-Watt University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FS026428%2F1
• 关键词: Single; Photons; Expanding; Spectrum; SPEXS

Single-photon counting - the ability to faithfully capture the single quantum of light - is a critical capability for a wide range of new low-light sensing applications and a host of emerging photonic quantum technologies. This proposed Programme Grant aims to significantly expand the operational region of single-photon detectors well beyond silicon's 1000nm wavelength limit into the short-wave infrared (SWIR) region of wavelengths between 1400nm to 3000nm, and part of the mid-wave infrared (MWIR) region between 3000nm and 5000nm. By scaling up SWIR and MWIR semiconductor and superconductor single-photon detectors to large area focal plane arrays, we will produce revolutionary new cameras with picosecond timing resolution which can be used, for example, to see though fog in automotive lidar scenarios, as well as allowing imaging and sensing in new applications in environmental monitoring, healthcare, and security and defence. The project will involve the design and fabrication of innovative new detector platforms of Ge-on-Si and III-V semiconductor detectors. The detectors are capable of single-photon sensitivity in the SWIR and MWIR regions, and will be fabricated in detector array format. We will also examine superconducting nanowires to expand their operation into the MWIR regions and fabricate arrayed detector configurations. A key part of the project is to integrate these arrayed detector technologies with read-out circuitry capable of rapid, low latency delivery of single-photon data. In addition, we will utilise micro-optic technology to optimise detection efficiency and demonstrate multiple wavelength filtering. The cameras will be designed for use in a range of applications areas, including lidar, where the time-of-flight of the return photons can be used for the measurement of distance. In arrayed detector format, we will make cameras from which we will demonstrate three-dimensional imaging at long distance, where the sensitivity and time-resolution will enhance imaging through dense fog and other obscurants. We will demonstrate our detector technologies in quantum cryptography applications, where encryption keys can be shared between two users. By sending data encoded in single-photons it is possible for the sender and receiver to share a secure, random key known only to them. The most critical component in this form of quantum communication is the single-photon detector - we will demonstrate the use of our detectors both in optical fibre and free-space quantum key distribution scenarios. Other emerging applications in spectroscopy and biophotonics will be demonstrated.

单光子计数-忠实地捕获光的单量子的能力-是广泛的新的低光传感应用和一系列新兴的光子量子技术的关键能力。这项拟议的计划补助金旨在将单光子探测器的工作区域大大扩展到1400 nm至3000 nm波长的短波红外（SWIR）区域，以及3000 nm至5000 nm波长的中波红外（MWIR）区域。通过将SWIR和MWIR半导体和超导体单光子探测器扩展到大面积焦平面阵列，我们将生产具有皮秒时序分辨率的革命性新相机，例如，可用于汽车激光雷达场景中的雾，以及允许在环境监测，医疗保健和安全与国防的新应用中进行成像和传感。该项目将涉及设计和制造硅基锗和III-V族半导体探测器的创新探测器平台。探测器能够在SWIR和MWIR区域具有单光子灵敏度，并将以探测器阵列形式制造。我们也将研究超导纳米线，以扩大其操作到MWIR区域和制造阵列探测器配置。该项目的一个关键部分是将这些阵列探测器技术与能够快速、低延迟传输单光子数据的读出电路相集成。此外，我们将利用微光学技术优化检测效率，并展示多波长过滤。这些相机将被设计用于一系列应用领域，包括激光雷达，其中返回光子的飞行时间可用于测量距离。在阵列探测器格式中，我们将制作相机，我们将在远距离展示三维成像，其中灵敏度和时间分辨率将通过浓雾和其他遮蔽物增强成像。我们将在量子密码学应用中展示我们的检测器技术，其中加密密钥可以在两个用户之间共享。通过发送以单光子编码的数据，发送者和接收者可以共享只有他们知道的安全随机密钥。这种形式的量子通信中最关键的组件是单光子探测器-我们将演示我们的探测器在光纤和自由空间量子密钥分发场景中的使用。在光谱学和生物光子学的其他新兴应用将被证明。

项目成果

A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar Systems

• DOI: 10.1109/jstsp.2022.3170228
• 发表时间: 2022-01
• 期刊: IEEE Journal of Selected Topics in Signal Processing
• 影响因子: 7.5
• 作者: JaKeoung Koo;Abderrahim Halimi;S. Mclaughlin

Robust and Guided Bayesian Reconstruction of Single-Photon 3D Lidar Data: Application to Multispectral and Underwater Imaging

• DOI: 10.1109/tci.2021.3111572
• 发表时间: 2021-01-01
• 期刊: IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING
• 影响因子: 5.4
• 作者: Halimi, Abderrahim;Maccarone, Aurora;McLaughlin, Stephen
• 通讯作者: McLaughlin, Stephen

Fast Task-Based Adaptive Sampling for 3D Single-Photon Multispectral Lidar Data

• DOI: 10.1109/tci.2022.3150974
• 发表时间: 2021-09
• 期刊: IEEE Transactions on Computational Imaging
• 影响因子: 5.4
• 作者: Mohamed Amir Alaa Belmekki;Rachael Tobin;G. Buller;S. Mclaughlin;Abderrahim Halimi

3D target detection and spectral classification for single-photon LiDAR data.

• DOI: 10.1364/oe.487896
• 发表时间: 2023-02
• 期刊: Optics express
• 影响因子: 3.8
• 作者: Mohamed Amir Alaa Belmekki;Jonathan Leach;Rachael Tobin;G. Buller;S. Mclaughlin;Abderrahim Halimi

Fast Classification and Depth Estimation for Multispectral Single-Photon LiDAR Data

多光谱单光子激光雷达数据的快速分类和深度估计

• DOI: 10.1109/sspd51364.2021.9541510
• 发表时间: 2021
• 作者: Belmekki M