INTEGRATING QUANTUM COMPUTING IN HIGH-FREQUENCY TRADING: A PROJECT MANAGEMENT APPROACH

Abstract

This thesis explores the integration of quantum computing in high-frequency trading (HFT) from a project management perspective. As quantum computing emerges as a transformative technology, its potential to revolutionize financial markets, particularly HFT, necessitates structured approaches to manage the associated complexities and risks. Agile methodologies are examined as a solution to bridge the gap between the rapid development cycles of quantum software and the high-speed requirements of trading algorithms. The study employs a qualitative research approach, incorporating expert interviews and literature analysis to identify the challenges and opportunities of implementing quantum computing in HFT. The research reveals that while quantum computing offers significant advantages in speed and optimization, the lack of standardized practices and scalable project management frameworks poses challenges. This study recommends an Agile-Quantum Hybrid approach to mitigate these risks and enhance project success rates. The findings of this thesis contribute to the growing body of knowledge on the intersection of quantum computing and financial markets, providing a roadmap for future projects in the domain