Evolution of quantum computer algorithms from reversible operators

A. Surkan, A. Khuskivadze
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引用次数: 8

Abstract

An application of an evolutionary approach to hardware design is presented. A genetic algorithm was developed to discover good designs for quantum computer algorithms. The algorithms are expressed as quantum operator sequences applied in a circuit model. The circuits discovered are configurations of special purpose quantum computers. We have been exploring the evolution of algorithms as alternative configurations of hardware. By simulation it is established that the circuits will correctly compute a small collection of basic, low-level functions. Experiments produced designs for primitive quantum computers that evaluate logical or arithmetic functions with a total of twelve or fewer inputs and outputs.
从可逆算子演化的量子计算机算法
介绍了进化方法在硬件设计中的应用。开发了一种遗传算法来发现量子计算机算法的良好设计。这些算法被表示为应用于电路模型中的量子算子序列。发现的电路是特殊用途量子计算机的配置。我们一直在探索算法作为硬件的替代配置的演变。通过仿真证明,该电路可以正确地计算少量基本的低级函数。实验产生了原始量子计算机的设计,这些计算机通过总共12个或更少的输入和输出来评估逻辑或算术函数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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