Teaching Qubits to Sing: Mission Impossible?

IF 0.7 4区计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS

International Journal of Unconventional Computing Pub Date : 2022-07-17 DOI:10.48550/arXiv.2207.08225

E. Miranda, Brian N. Siegelwax

引用次数: 0

Abstract

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.

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教量子比特唱歌:《碟中谍》?

本文介绍了一种通过听样学唱新歌的系统。它从输入的音乐中提取排序规则，并使用这些规则生成新的曲调，由声音合成器演唱。我们开发了一种将音乐作曲规则表示为量子电路的方法。我们声称这样的音乐规则是量子原生的:它们在量子态的振幅中自然地可编码。为了评估规则以产生后续事件，系统动态构建相应的量子电路并对其进行测量。在简要讨论了我们一直在尝试的声乐合成方法之后，本文通过一个实例介绍了我们新的生成音乐方法。本文展示了一些实验，并讨论了如何利用该系统的创造潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Unconventional Computing 工程技术-计算机：理论方法

CiteScore

2.00

自引率

11.80%

发文量

审稿时长

>12 weeks

期刊介绍： The International Journal of Unconventional Computing offers the opportunity for rapid publication of theoretical and experimental results in non-classical computing. Specific topics include but are not limited to: physics of computation (e.g. conservative logic, thermodynamics of computation, reversible computing, quantum computing, collision-based computing with solitons, optical logic) chemical computing (e.g. implementation of logical functions in chemical systems, image processing and pattern recognition in reaction-diffusion chemical systems and networks of chemical reactors) bio-molecular computing (e.g. conformation based, information processing in molecular arrays, molecular memory) cellular automata as models of massively parallel computing complexity (e.g. computational complexity of non-standard computer architectures; theory of amorphous computing; artificial chemistry) logics of unconventional computing (e.g. logical systems derived from space-time behavior of natural systems; non-classical logics; logical reasoning in physical, chemical and biological systems) smart actuators (e.g. molecular machines incorporating information processing, intelligent arrays of actuators) novel hardware systems (e.g. cellular automata VLSIs, functional neural chips) mechanical computing (e.g. micromechanical encryption, computing in nanomachines, physical limits to mechanical computation).