Solving combinational optimization problems with evolutionary
single-pixel imaging
- URL: http://arxiv.org/abs/2210.05923v1
- Date: Wed, 12 Oct 2022 05:06:31 GMT
- Title: Solving combinational optimization problems with evolutionary
single-pixel imaging
- Authors: Wei Huang, Jiaxiang Li, Shuming Jiao, Zibang Zhang
- Abstract summary: 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 this work, we propose a SPI scheme for processing other types of data in addition to images.
- Score: 4.363127731705663
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: 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.
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