在IBM Quantum Experience上实现BRQI灰度图像模型

G. Mogos
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引用次数: 0

摘要

利用视觉信息的技术起着重要的作用。图像处理是人工智能的一个领域,处理如何使用计算机表示、重建、分类、识别和分析图像。这项研究背后的想法是遵循量子图像的位平面表示BRQI模型(灰度图像)如何利用叠加和纠缠的量子特性,将图像映射和存储为量子位。为此,我们使用了IBM Quantum Experience平台,该平台提供了使用量子应用程序实现和运行程序的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation BRQI grayscale image model on IBM Quantum Experience
Techniques for exploiting visual information play an important and topical role. Image processing is an area of Artificial Intelligence, dealing with how to represent, reconstruct, classify, recognition and analysis of images using computers. The idea behind this study is to follow how the quantum properties of superposition and entanglement are used by the Bit-plane Representation of Quantum Images BRQI model, grayscale image, to map and store the image as qubits. For this, we used the IBM Quantum Experience platform that provides the opportunity to implement and run programs with quantum applications.
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