利用遗传算法优化量子隐形传态电路

Fei Peng, Guangjun Xie, Tianhao Wu
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引用次数: 2

摘要

本文采用标准遗传算法对量子电路进行优化。我们提出了一种新的编码方案,将量子门编码为整数,并将电路拓扑信息存储在整数的位置。讨论了相应适应度函数和遗传算子的设计。选择量子隐形传态电路这一典型的量子计算过程作为优化目标。最后对实验结果进行了讨论,得到了一种优化的隐形传态电路。
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Optimizing quantum teleportation circuit using genetic algorithm
This paper applies a standard genetic algorithm to the optimization of the quantum circuits. We propose a new coding scheme, which encodes quantum gates as integers and stores circuit topology information in the position of the integers. The design of the corresponding fitness function and genetic operators are also discussed. The quantum teleportation circuit, a typical quantum computation process, is chosen as our optimization target. Finally, the experiment results are discussed, and an optimized teleportation circuit has been obtained.
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