量子图像处理(QuIP)

G. Beach, C. Lomont, C. Cohen
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引用次数: 110

摘要

摩尔定律指出,计算性能每18个月翻一番。虽然这种情况已经持续了40年,但人们普遍认为这种情况很快就会结束。量子计算为摩尔定律的最终失效提供了一个潜在的解决方案。研究人员已经证明了高效量子算法的存在,并且可以比经典计算机更快地执行某些计算。量子计算机需要的算法与经典计算机有很大的不同,因此量子计算的挑战是开发高效的量子算法。Cybernet正在与空军研究实验室(AFRL)合作,为量子计算机创建图像处理算法。我们已经证明,现有的量子算法(如Grover算法)适用于图像处理任务。我们正在继续确定其他可以通过应用量子计算来改进的图像处理领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantum image processing (QuIP)
Moore's law states that computing performance doubles every 18 months. While this has held true for 40 years, it is widely believed that this will soon come to an end. Quantum computation offers a potential solution to the eventual failure of Moore's law. Researchers have shown that efficient quantum algorithms exist and can perform some calculations significantly faster than classical computers. Quantum computers require very different algorithms than classical computers, so the challenge of quantum computation is to develop efficient quantum algorithms. Cybernet is working with the Air Force Research Laboratory (AFRL) to create image processing algorithms for quantum computers. We have shown that existing quantum algorithms (such as Grover's algorithm) are applicable to image processing tasks. We are continuing to identify other areas of image processing which can be improved through the application of quantum computing.
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