Developing a Framework for Sonifying Variational Quantum Algorithms: Implications for Music Composition

TL;DR

This paper introduces a framework for sonifying Variational Quantum Algorithms, enabling scientific understanding and artistic expression through musical interfaces that translate quantum optimization processes into sound.

Contribution

It presents a novel sonification framework for VQAs, including software design and mappings, facilitating scientific analysis and artistic applications in quantum computing.

Findings

Developed a flexible sonification tool for VQAs

Demonstrated applications in scientific understanding and music composition

Showcased an artistic piece using the framework

Abstract

This chapter examines the Variational Quantum Harmonizer, a software tool and musical interface that focuses on the problem of sonification of the minimization steps of Variational Quantum Algorithms (VQA), used for simulating properties of quantum systems and optimization problems assisted by quantum hardware. Particularly, it details the sonification of Quadratic Unconstrained Binary Optimization (QUBO) problems using VQA. A flexible design enables its future applications both as a sonification tool for auditory displays in scientific investigation, and as a hybrid quantum-digital musical instrument for artistic endeavours. In turn, sonification can help researchers understand complex systems better and can serve for the training of quantum physics and quantum computing. The VQH structure, including its software implementation, control mechanisms, and sonification mappings are detailed. Moreover, it guides the design of QUBO cost functions in VQH as a music compositional object. The discussion is extended to the implications of applying quantum-assisted simulation in quantum-computer aided composition and live-coding performances. An artistic output is showcased by the piece \textit{Hexagonal Chambers} (Thomas and Itabora\'i, 2023).