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Reversible Circuit Synthesis using Evolutionary Algorithm

机译:使用进化算法可逆电路合成

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With the prospect of availability of quantum computers in not-so-distant future, research on the synthesis and testing of reversible logic circuits have gained momentum in recent years. There are many existing works for the synthesis of reversible logic circuits, some of them being exact while some others approximate and based on some heuristics. Many of these methods work for reasonably smaller circuits, but fail with the increase in the number of inputs, either in terms of large memory and computation time requirements, or in terms of failure in arriving at the solution. In this paper, we have proposed a synthesis approach that uses Genetic Algorithm (GA) for searching the solution space, and is based on a gate library consisting of NOT, CNOT and generalized Toffoli gates. This method gives good solutions to circuits with up to 5 or 6 inputs very fast. A divide-and-conquer approach is also proposed towards the end of the paper as a future work using which larger circuits can be handled.
机译:随着近距离未来的量子计算机可用性的前景,近年来,对可逆逻辑电路的合成和测试的研究已经获得了势头。有许多现有的作品用于可逆逻辑电路的合成,其中一些是确切的,而其他人近似并基于一些启发式。这些方法中的许多方法都适用于合理较小的电路,但随着输入数量的增加而失败,无论是大的内存和计算时间要求,还是在到达解决方案时的失败方面。在本文中,我们提出了一种使用遗传算法(GA)来搜索解决方案空间的合成方法,并且基于由不是,CNOT和广义的Toffoli栅极组成的门库。该方法为最多5或6个输入提供良好的电路解决方案,非常快。作为纸张结束时,还提出了一种剥夺的方法,作为可以处理更大电路的未来工作。

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