QuantumX: an experience for the consolidation of Quantum Computing and Quantum Software Engineering as an emerging discipline

2026-03-11

AI Summary

This study addresses the adaptation of core software engineering principles—such as quality assurance, testing, abstraction, and governance—to the quantum computing paradigm to advance the emerging discipline of quantum software engineering. By organizing the first QuantumX workshop at a major software engineering conference, the project brought together leading research teams from Spain and Ibero-America to systematically investigate key areas including quantum service engineering, hybrid quantum-classical architectures, quantum circuit optimization, quality models, and quantum machine learning. This initiative not only identified common research themes and open challenges but also fostered collaboration through networks such as RIPAISC and QSpain, establishing Spain’s leadership in the European and global quantum software ecosystem and catalyzing a sustainable, interdisciplinary research community.

Technology Category

• Machine Learning: Quantum Machine Learning
• Application Domains: Software Engineering
• Knowledge Representation and Reasoning: Qualitative Reasoning

Application Category

• Security and Privacy: Data transparency and provenance
• Systems and Infrastructure for Web, Mobile and WoT: Experiences and lessons learnt from Web-based algorithms and system deployments
• Web Mining and Content Analysis: Web data quality in the era of algorithmically-generated content

Abstract

The first edition of the QuantumX track, held within the XXIX Jornadas de Ingenier\'ia del Software y Bases de Datos (JISBD 2025), brought together leading Spanish research groups working at the intersection of Quantum Computing and Software Engineering. The event served as a pioneering forum to explore how principles of software quality, governance, testing, orchestration, and abstraction can be adapted to the quantum paradigm. The presented works spanned diverse areas (from quantum service engineering and hybrid architectures to quality models, circuit optimization, and quantum machine learning), reflecting the interdisciplinary nature and growing maturity of Quantum Computing and Quantum Software Engineering. The track also fostered community building and collaboration through the presentation of national and Ibero-American research networks such as RIPAISC and QSpain, and through dedicated networking sessions that encouraged joint initiatives. Beyond reporting on the event, this article provides a structured synthesis of the contributions presented at QuantumX, identifies common research themes and engineering concerns, and outlines a set of open challenges and future directions for the advancement of Quantum Software Engineering. This first QuantumX track established the foundation for a sustained research community and positioned Spain as an emerging contributor to the European and global quantum software ecosystem.

Problem

• Quantum Computing
• Quantum Software Engineering
• Software Quality
• Quantum Paradigm
• Interdisciplinary Research

Innovation

• Quantum Software Engineering
• Quantum Computing
• Software Quality
• Hybrid Quantum-Classical Architectures
• Quantum Circuit Optimization