<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
In this paper, we explore the potential of quantum computing for music generation, particularly for generating melodies. We propose a method of designing quantum circuits with genetic algorithms for melody generation. Our method allows for the generation of subsequent musical notes for arbitrary input notes and the production of melodies of varying lengths based on the transition distribution between melodies in the training data. We compared the accuracy of a quantum computer in predicting the subsequent note based on the training data with that of a classical computer. Our results demonstrate the potential of quantum computing for melody generation.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |