Aleksandar Davidov
PhD fellow at Oslo Metropolitan University
I am a PhD candidate in Applied Mathematics and Physics at Oslo Metropolitan University, with a bachelor’s degree in Mathematics and a master’s degree in Computational Science from the University of Oslo. My research focuses on quantum optimization, especially methods with relevance for complex decision-support problems in organizations and public services. I am particularly interested in how emerging technologies can influence priorities, trade-offs, and decision-making in practice. In this way, my work connects quantum computing to broader questions of digitalization, governance, and public value in organizations and public services, and to the wider societal role of advanced computing today.
Tell us about your project!
My project explores how quantum computing can be used for difficult optimization problems in areas such as planning, allocation, routing, and scheduling. More broadly, the project relates to quantum computing as an emerging digital technology whose future use may influence how complex decisions are supported and evaluated in organizations and public services. Although the project is technical, it also speaks to broader questions about digitalization. Optimization systems do not simply calculate efficient solutions. Once used in organizational or public-service settings, they can shape how priorities are set, how trade-offs are handled, and how decisions are supported in practice. In that way, the project links quantum computing to wider questions of governance, public value, and the future role of advanced computing in society.
“I am particularly interested in how advanced digital technologies are understood, evaluated, and governed once they move beyond purely technical settings”
— Aleksandar Davidov on his PhD project “Constrained quantum optimization”