QuiKo: A Quantum Beat Generation Application
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Abstract
Artificial intelligent (AI) music generation systems have been exciting developments in machine and deep learning, but are limited to the data set(s) that they are fed. As a result, these systems lack a sense of organicness, or intuition, in their responses to external musical events. It has been speculated that quantum computing can be leveraged to go beyond just the imitation of the provided data set to the system. But concrete methods and results have not yet been presented to support this concept. However, Quantum Machine learning (QML) algorithms [1] can be dissected and adapted to begin developing algorithms that could possibly give these AI music generation systems the organic touch that they need.