利用遗传规划找到优于经典的量子与/或算法

Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406) Pub Date : 1999-07-06 DOI:10.1109/CEC.1999.785553

L. Spector, H. Barnum, H. Bernstein, N. Swamy

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引用次数: 133

摘要

本文记录了一种新的，比经典量子算法更好的深度二与/或树问题的发现。我们描述了专门为这项工作构建的遗传规划系统，用于评估进化量子算法适应度的量子计算机模拟器以及新发现的算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Finding a better-than-classical quantum AND/OR algorithm using genetic programming

This paper documents the discovery of a new, better-than-classical quantum algorithm for the depth-two AND/OR tree problem. We describe the genetic programming system that was constructed specifically for this work, the quantum computer simulator that is used to evaluate the fitness of evolving quantum algorithms, and the newly discovered algorithm.

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Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406)

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