Envisioning Responsible Quantum Software Engineering and Quantum Artificial Intelligence

TL;DR

The paper investigates ethical, governance, and equity considerations at the intersection of quantum computing, quantum software engineering, and quantum AI. It argues for embedding responsible QSE and QAI principles from the outset, rather than as after-the-fact safeguards. Key challenges identified include algorithmic bias, explainability, security, monopolization risks, and inequitable access to quantum resources. The authors propose interdisciplinary collaboration, development of verification and auditing methods, and international governance frameworks to ensure transparent, fair, and globally accessible quantum software.

Abstract

The convergence of Quantum Computing (QC), Quantum Software Engineering (QSE), and Artificial Intelligence (AI) presents transformative opportunities across various domains. However, existing methodologies inadequately address the ethical, security, and governance challenges arising from this technological shift. This paper highlights the urgent need for interdisciplinary collaboration to embed ethical principles into the development of Quantum AI (QAI) and QSE, ensuring transparency, inclusivity, and equitable global access. Without proactive governance, there is a risk of deepening digital inequalities and consolidating power among a select few. We call on the software engineering community to actively shape a future where responsible QSE and QAI are foundational for ethical, accountable, and socially beneficial technological progress.