将量子硬件应用于非科学问题：Grover算法和基于规则的音乐创作
Applying Quantum Hardware to non-Scientific Problems: Grover's Algorithm and Rule-based Algorithmic Music Composition
摘要：
在所有新的计算方法中，量子计算（QC）目前最有可能从非常规领域进入常规领域。因此，在科学之外的QC应用方面已经做了一些初步的工作：例如音乐。在硬件或实际物理系统中进行的少量艺术研究没有利用量子计算（QC）的任何优势：主要优势是量子算法的潜在速度提高。本文介绍了一种方法，利用格罗弗的算法-这已被证明是提供一个二次的速度超过其经典的等价物-在算法规则为基础的音乐创作。引入的系统- qgMuse -简单但可扩展。示例旋律是使用ibmqx 4量子硬件使用qgMuse合成的。本文最后讨论了这种方法如何随着量子计算机硬件和软件的改进而发展。
英文摘要：
Of all novel computing methods, quantum computation (QC) is currently the most likely to move from the realm of the unconventional into the conventional. As a result some initial work has been done on applications of QC outside of science: for example music. The small amount of arts research done in hardware or with actual physical systems has not utilized any of the advantages of quantum computation (QC): the main advantage being the potential speed increase of quantum algorithms. This paper introduces a way of utilizing Grover's algorithm - which has been shown to provide a quadratic speed-up over its classical equivalent - in algorithmic rule-based music composition. The system introduced - qgMuse - is simple but scalable. Example melodies are composed using qgMuse using the ibmqx4 quantum hardware. The paper concludes with discussion on how such an approach can grow with the improvement of quantum computer hardware and software.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
