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Majority logic circuits optimisation by node merging

机译:通过节点合并优化多数逻辑电路

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Quantum-dot Cellular Automata (QCA) has emerged as a new design paradigm for nanotechnologies. Since the operational logic in QCA is the majority logic, much research about the synthesis and optimisation of majority logic has been proposed recently. In this paper, we propose an optimisation method by merging nodes in the Majority-Inverter-Graph, which is the representation of majority logic circuits. Instead of using satisfiability solvers, our approach can identify the node mergers by using logic implications for circuit size reduction. The experimental results show that for a set of EPFL benchmarks, our approach can minimise the node count by 21% when integrated with the state-of-the-art on average.
机译:量子点元胞自动机(QCA)已经成为纳米技术的新设计范例。由于QCA中的操作逻辑是多数逻辑,因此最近提出了许多关于多数逻辑的综合和优化的研究。在本文中,我们提出了一种通过合并多数逆变器图中多数节点的表示的优化方法。代替使用可满足性求解器,我们的方法可以通过使用逻辑含义来减小电路尺寸来识别节点合并。实验结果表明,对于一组EPFL基准,平均而言,我们的方法可以将节点数最小化21%。

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