Solving Combinational Optimization Problems With Evolutionary Single-Pixel Imaging
| العنوان: | Solving Combinational Optimization Problems With Evolutionary Single-Pixel Imaging |
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| المؤلفون: | Wei Huang, Jiaxiang Li, Shuming Jiao, Zibang Zhang |
| المصدر: | IEEE Journal of Selected Topics in Quantum Electronics. 29:1-6 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2023. |
| سنة النشر: | 2023 |
| مصطلحات موضوعية: | FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, FOS: Physical sciences, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Optics (physics.optics), Physics - Optics |
| الوصف: | 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. |
| تدمد: | 1558-4542 1077-260X |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5005c94914777d7ea70547f787745002 https://doi.org/10.1109/jstqe.2023.3272642 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....5005c94914777d7ea70547f787745002 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15584542 1077260X |
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