可逆逻辑合成的k-输入,m-输出查找表

A. Shafaei, Mehdi Saeedi, Massoud Pedram
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引用次数: 14

摘要

利用计算机辅助设计技术改进已知量子算法的电路实现,对量子实验工作者有好处。在本文中,我们解决了一个可逆电路合成给定k输入,m输出查找表(LUT)的问题。这个问题在著名的Shor数字分解算法和稀疏图上的量子行走中有有趣的应用。对于LUT合成,我们的方法以多控制Toffoli门的控制线数量为目标,以降低合成成本。为了实现这一目标,我们提出了可逆电路的多级优化技术,以受益于共享辅因子。为了重用输出量子位和/或零初始化辅助,我们取消了中间协因子的计算。我们的实验表明,所提出的LUT综合对于减少Shor量子因式分解算法的模幂运算电路的大小,稀疏图上量子行走的oracle电路以及众所周知的MCNC基准具有显着影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reversible logic synthesis of k-input, m-output lookup tables
Improving circuit realization of known quantum algorithms by CAD techniques has benefits for quantum experimentalists. In this paper, we address the problem of synthesizing a given k-input, m-output lookup table (LUT) by a reversible circuit. This problem has interesting applications in the famous Shor's number-factoring algorithm and in quantum walk on sparse graphs. For LUT synthesis, our approach targets the number of control lines in multiple-control Toffoli gates to reduce synthesis cost. To achieve this, we propose a multi-level optimization technique for reversible circuits to benefit from shared cofactors. To reuse output qubits and/or zero-initialized ancillae, we un-compute intermediate cofactors. Our experiments reveal that the proposed LUT synthesis has a significant impact on reducing the size of modular exponentiation circuits for Shor's quantum factoring algorithm, oracle circuits in quantum walk on sparse graphs, and the well-known MCNC benchmarks.
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