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- W4313164549 abstract "In this chapter, a quantum music generation application called QuiKo is introduced. QuiKo combines existing quantum algorithms with data encoding methods from Quantum Machine Learning to build drum and audio sample patterns from a database of audio tracks. QuiKo leverages the physical properties and characteristics of quantum computing to generate what can be referred to as soft rules. These rules take advantage of noise produced by quantum devices to develop rules for music generation. These properties include qubit decoherence and phase kickback to controlled quantum gates within the quantum circuit. QuiKo attempts to mimic and react to external musical inputs, like the way that human musicians play and compose with one another. Audio signals (ideally rhythmic in nature) are used as inputs into the system. Feature extraction is performed on the signal to identify its harmonic and percussive elements. This information is then encoded onto a quantum circuit. Then, measurements of the quantum circuit are taken providing results in the form of probability distributions. These distributions are used to build a new rhythmic pattern." @default.
- W4313164549 created "2023-01-06" @default.
- W4313164549 creator A5081431732 @default.
- W4313164549 date "2022-01-01" @default.
- W4313164549 modified "2023-09-28" @default.
- W4313164549 title "QuiKo: A Quantum Beat Generation Application" @default.
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- W4313164549 doi "https://doi.org/10.1007/978-3-031-13909-3_7" @default.
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