Designing Maintainable Hybrid Generative Systems: A Quantum-Inspired Approach to Automated Music Harmony Generation

arXiv:2607.06296 · cs.SD, cs.AI, cs.ET, eess.AS · Submitted 2026-07-07 · Read on arXiv

cs.SD, cs.AI, cs.ET, eess.AS

Submitted: 2026-07-07

Updated: 2026-07-07

Comments: 12 pages, 1 figure, 4 tables. Extended version of the 4-page paper accepted at the 34th International Conference on Information Systems Development (ISD2026, Prague). Source code and dataset available at https://github.com

Journal ref: https://aisel.aisnet.org/isd2014/proceedings2026/datascience/23/

DOI: 10.62036/ISD.2026.56

Code: https://github.com/JosefPavlicek/quantum-inspired-music-research

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Robustness — 1× in this paper · explained in 5 episodes
• Structural Control — 1× in this paper · explained in 2 episodes

Sources

• Deep Learning Techniques for Music Generation -- A Survey
• Music Transformer
• Quantum-Inspired Harmonic Decision Models: A Computational Framework for Music Generation

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