Quantum Brain
← Back to papers

AQUA: an Agile Process to Develop Quantum Annealing Applications

Lodovica Marchesi, Amal Nasharti, Michele Marchesi·January 20, 2026·DOI: 10.48550/arXiv.2601.14501
Computer Science

AI Breakdown

Get a structured breakdown of this paper — what it's about, the core idea, and key takeaways for the field.

Abstract

Quadratic unconstrained binary optimization (QUBO) is a field of operations research that is attracting growing interest due to the recent availability of quantum hardware targeted at solving QUBO problems. However, practical adoption is hindered by mathematical intricacy, hardware constraints, and a lack of sound software engineering processes for QUBO development. This work presents AQUA (Agile QUantum Annealing), an agile lifecycle for QUBO/QA development created through an industry-academia partnership between NetService S.p.A and the University of Cagliari. Using the Design Science Research (DSR) approach, AQUA customizes Scrum to the needs of QUBO/QA development, structuring work into four stages: initial assessment with formal modeling, prototype-driven algorithm selection, agile implementation, and deployment with ongoing maintenance, each gated by milestones. Validated on a real credit-scoring case, AQUA shows feasibility and offers an explicit, systematic QA engineering framework. Key contributions of our work are: a dedicated QUBO/QA software process, its creation and design using DSR approach, and its empirical validation on a simple yet real case study.

Related Research

Quantum Intelligence

Ask about quantum research, companies, or market developments.