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Evolving quantum circuits at the gate level with a hybrid quantum-inspired evolutionary algorithm

机译:混合量子启发式进化算法在门级演化量子电路

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摘要

This paper proposes an approach to evolve quantum circuits at the gate level, based on a hybrid quantum-inspired evolutionary algorithm. This approach encodes quantum gates as integers and combines the cost and correctness of quantum circuits into the fitness function. A fast algorithm of matrix multiplication with Kronecker product has been proposed to speed up the calculation of matrix multiplication in individuals evaluation. This algorithm is shown to be better than the known best algorithm for matrix multiplication when a certain condition holds. The approach of evolving quantum circuits is validated by some experiments and the effects of some parameters are investigated. And finally, some features of the approach are also discussed.
机译:本文提出了一种基于混合量子启发式演化算法的门级量子电路演化方法。这种方法将量子门编码为整数,并将量子电路的成本和正确性结合到适应度函数中。提出了一种使用Kronecker乘积的矩阵乘法的快速算法,以加快个人评估中矩阵乘法的计算。当满足特定条件时,该算法被证明比已知的最佳矩阵乘法算法更好。通过一些实验验证了演化量子电路的方法,并研究了一些参数的影响。最后,还讨论了该方法的一些功能。

著录项

  • 来源
    《Soft Computing》 |2008年第11期|1059-1072|共14页
  • 作者单位

    Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China;

    Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China;

    School of Computer Science and Technology South-Central University for Nationalities Wuhan 430074 China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Quantum circuits design; Evolutionary algorithm; Optimization;

    机译:量子电路设计进化算法优化;

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