论文标题
解决与进化单像素成像的组合优化问题
Solving combinational optimization problems with evolutionary single-pixel imaging
论文作者
论文摘要
单像素成像（SPI）是一种新型的光学成像技术，它通过用单像素检测器代替常规摄像头中的像素化传感器阵列。在以前的作品中，SPI通常用于捕获对象图像或执行图像处理任务。在这项工作中，我们提出了一种SPI方案，用于处理除图像之外的其他类型数据。 ISING机器模型是通过SPI光学实现的，用于求解组合优化问题，包括数字分区和图形最大切割。模拟和实验结果表明，我们提出的方案可以通过进化照明模式优化哈密顿功能。
Single-pixel imaging (SPI) is a novel optical imaging technique by replacing the pixelated sensor array in a conventional camera with a single-pixel detector. In previous works, SPI is usually used for capturing object images or performing image processing tasks. In this work, we propose a SPI scheme for processing other types of data in addition to images. An Ising machine model is implemented optically with SPI for solving combinational optimization problems including number partition and graph maximum cut. Simulated and experimental results show that our proposed scheme can optimize the Hamiltonian function with evolutionary illumination patterns.
