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On the Guidance of Reversible Logic Synthesis by Dynamic Variable Reordering

机译:动态变量重排序对可逆逻辑综合的指导

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This paper proposes a framework that improves reversible logic synthesis by employing a dynamically determined variable order for quantum multiple-valued decision diagrams (QMDD). We demonstrate our approach through augmentation of the Miller-Maslov-Dueck (MMD) algorithm that processes the complete function specification in lexicographical order with our technique. We represent and minimize the complete specification with the QMDD and then synthesize the function specification based on the minimized variable order. The framework produces significantly smaller reversible circuits in many cases. Experimental results also show the effectiveness of using the QMDD size as a measure of the complexity of MVL and binary reversible circuits.
机译:本文提出了一种框架,该框架通过为量子多值决策图(QMDD)采用动态确定的变量阶来改善可逆逻辑综合。我们通过增强Miller-Maslov-Dueck(MMD)算法来演示我们的方法,该算法使用我们的技术按字典顺序处理完整的功能规范。我们用QMDD表示并最小化完整的规范,然后根据最小化的变量顺序综合功能规范。在许多情况下,该框架可产生明显较小的可逆电路。实验结果还表明,使用QMDD大小来衡量MVL和二进制可逆电路的复杂性是有效的。

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