数字RGB图像的混合-qudit表示
Sreetama Das1,2, Filippo Caruso3,4,5
1Department of Physics and Astronomy, University of Florence, Via Sansone 1, Sesto Fiorentino, 50019, Italy. sreetama.das@unifi.it.
Scientific reports
|August 23, 2023
概括
这项研究引入了使用 qutrits 和 qubits 的 RGB 图像的新型量子图像表示,使得使用最小的量子资源实现高效的确定性图像检索. 该方法在量子模拟器上进行验证,显示量子图像处理的线性复杂性.
科学领域:
- 量子信息和技术 量子信息和技术
- 量子计算是一种量子计算.
- 量子图像处理 量子图像处理
背景情况:
- 量子图像处理是一个新兴的领域.
- 现有的量子图像表示通常需要大量的资源.
- 混合审计系统的开发正在推进,与NISQ设备功能保持一致.
研究的目的:
- 为RGB图像提出一种新的,资源高效的量子图像表示.
- 为了使用最小的量子资源实现确定性图像检索.
- 将使用量子比特和量子比特用于像素位置的编码方法概括为.
主要方法:
- 编码RGB图像的颜色通道和强度使用两个纠的量子寄存器7 qutrits.
- 通过混合qudit方法 (qubits和 qutrits) 将像素位置编码泛化.
- 描述图像编码与更高阶量子比特-库特里特门及其分解,使用谷歌Cirq的量子模拟器与噪声建模进行验证.
主要成果:
- 一种新的量子图像表示方法,以最小的资源利用实现确定性图像检索.
- 在无噪声和有噪声的量子模拟中成功验证图像准备.
- 在图像编码过程中显示像素数量的线性复杂性.
结论:
- 拟议的混合-qudit量子图像表示为RGB图像提供了一种高效的方法.
- 这种方法与量子计算硬件的当前进展相兼容,特别是NISQ设备.
- 该表示方便了基本的图像处理任务和压缩,为未来的量子图像应用铺平了道路.
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