首页> 外国专利> QUANTUM MECHANICAL ARTIFICIAL VISION SYSTEM BASED ON ORBITAL QUBIT AND ARITHMETIC OPERATION METHOD

QUANTUM MECHANICAL ARTIFICIAL VISION SYSTEM BASED ON ORBITAL QUBIT AND ARITHMETIC OPERATION METHOD

机译:基于轨道量子比特和算术运算方法的量子力学人工视觉系统

摘要

Disclosed are an orbital qubit-based quantum mechanical artificial vision system and an operation method thereof which replace an NP problem generated by increasing the number of feature points with Hamiltonian using a quantum mechanical Ising model and use orbital qubits of a matrix shape to easily perform calculation. The operation method for orbital qubit-based quantum mechanical artificial vision comprises: a step of acquiring a first labeled graph connecting the gap between points of interest of a first image and a second labeled graph connecting the gap between points of interest of a second image; a step of matching the points of interest of the first image and the points of interest of the second image to generate point-to-point combinations, and comparing the point-to-point combinations with a threshold value to generate a conflict graph while adding the largest point-to-point combination; a step of generating an unconstrained binary optimization formula to find a maximum independent set of the conflict graph; a step of converting the unconstrained binary optimization formula into an Ising model of a quantum system; and a step of calculating Hamiltonian of the Ising model based on an orbital qubit to obtain a solution to the unconstrained binary optimization formula.
机译:公开了一种基于轨道量子位的量子力学人工视觉系统及其操作方法,其使用量子力学伊辛模型用哈密顿量代替通过增加特征点的数量而产生的NP问题,并使用矩阵形状的轨道量子位来容易地进行计算。用于基于轨道量子位的量子力学人工视觉的操作方法包括:获取连接第一图像的关注点之间的间隙的第一标记图和连接第二图像的关注点之间的间隙的第二标记图的步骤;匹配第一图像的兴趣点和第二图像的兴趣点以生成点对点组合,并将点对点组合与阈值进行比较以生成冲突图的步骤最大的点对点组合;生成无约束的二进制优化公式以找到冲突图的最大独立集合的步骤;将无约束的二元优化公式转换为量子系统的伊辛模型的步骤;根据轨道量子位计算伊辛模型的哈密顿量,得到无约束二元优化公式的解。

著录项

  • 公开/公告号KR20180067007A

    专利类型

  • 公开/公告日2018-06-20

    原文格式PDF

  • 申请/专利号KR20160168245

  • 发明设计人 AHN DO YEOL;

    申请日2016-12-12

  • 分类号G06N99;B82Y10;

  • 国家 KR

  • 入库时间 2022-08-21 12:39:48

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号