Teaching Qubits to Sing: Mission Impossible?
This work addresses the challenge of creative music generation for applications in AI and entertainment, though it appears incremental in combining quantum computing with existing generative methods.
The paper tackles the problem of generating new musical tunes by learning sequencing rules from examples and representing them as quantum circuits, resulting in a system that dynamically builds and measures these circuits to produce music sung by a vocal synthesizer.
This paper introduces a system that learns to sing new tunes by listening to examples. It extracts sequencing rules from input music and uses these rules to generate new tunes, which are sung by a vocal synthesiser. We developed a method to represent rules for musical composition as quantum circuits. We claim that such musical rules are quantum native: they are naturally encodable in the amplitudes of quantum states. To evaluate a rule to generate a subsequent event, the system builds the respective quantum circuit dynamically and measures it. After a brief discussion about the vocal synthesis methods that we have been experimenting with, the paper introduces our novel generative music method through a practical example. The paper shows some experiments and concludes with a discussion about harnessing the creative potential of the system.