Quantum-Harmonic Optimization Framework: Bridging Musical Harmony and Quantum Computation(QAI)

Quantum-Harmonic Optimization Framework: Bridging Musical Harmony and Quantum Computation(QAI) | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 19 March 2025 V1 Latest version Share on Quantum-Harmonic Optimization Framework: Bridging Musical Harmony and Quantum Computation(QAI) Author : Mohammad Piran [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.174239962.20977042/v1 192 views 126 downloads Contents Abstract ****** Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Modern optimization algorithms face critical challenges in high-dimensional non-convex landscapes, including local minima entrapment and noise sensitivity. This work introduces a quantum-classical hybrid framework synergizing counterpoint-inspired harmonic coordination with variational quantum optimization. The key innovation lies in a dynamically adaptive harmony matrix Hij that orchestrates exploration-exploitation tradeoffs through musical tension-resolution principles. Implemented on a quantum annealer with 1000+ qubits, the algorithm achieves 99.96% accuracy on Rastrigin functions (d=10^6) under 18dB noise, despite a 27.8% energy overhead from quantum error correction. Comparative analysis against QAOA and classical benchmarks demonstrates 2.1x speedup and 94.7% lower divergence rates. These advancements establish a new paradigm for optimization in noisy, high-dimensional environments. ****** **** Information & Authors Information Version history V1 Version 1 19 March 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords adaptive variation mohamad piran quantum optimization quantum-harmonic optimization variation Authors Affiliations Mohammad Piran [email protected] View all articles by this author Metrics & Citations Metrics Article Usage 192 views 126 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Mohammad Piran. Quantum-Harmonic Optimization Framework: Bridging Musical Harmony and Quantum Computation(QAI). Authorea . 19 March 2025. DOI: https://doi.org/10.22541/au.174239962.20977042/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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