Enhancing the Uganda Revenue Authority's Financial Auditing Systems through Quantum Computing: Securing and Verifying Transactions in a Post-Quantum World

This research explores the potential integration of quantum computing into the Uganda Revenue Authority’s (URA) financial auditing systems, focusing on its impact on data security, fraud detection, and economic forecasting. Employing a descriptive research design with a mixed-methods approach, the study gathered both qualitative and quantitative data to assess the feasibility, benefits, challenges, and implications of adopting quantum technologies. A purposive sampling method was used to select 30 key respondents, divided into three groups: 10 senior URA staff members, 10 experts in quantum computing and cybersecurity, and 10 academic and research professionals with expertise in digital transformation. Data collection was conducted through semi-structured interviews, surveys, and document analysis, allowing for a comprehensive exploration of the subject.

The findings revealed that while there is strong support for quantum computing's potential in improving URA’s financial auditing and compliance systems, challenges such as the high costs of infrastructure, specialized workforce requirements, and system integration concerns were identified. The study also highlighted the vulnerability of traditional encryption methods to quantum-based attacks, emphasizing the importance of quantum-safe encryption for financial security. Through the combination of qualitative insights and quantitative data, the research suggests that integrating quantum computing with artificial intelligence and machine learning could enhance auditing efficiency, optimize resource allocation, and position Uganda as a regional leader in the digital economy. The research concludes by recommending strategic planning, workforce development, and international collaboration to successfully implement quantum technologies in Uganda's financial systems.