How Scientific and Technological Interaction Accelerates Co-Evolution of Artificial Intelligence and Quantum Systems
Mario Coccia
This study investigates the drivers of recent scientific and technological advancements by examining the interaction between quantum and Artificial Intelligence (AI) systems. It analyzes how the scientific and technological coupling of these fields affects the pace of co-evolutionary dynamics. The research employs statistical models of evolutionary growth to analyze publication and patent trends in quantum and AI systems. Comparative growth rates are calculated to analyze synergetic effects between these domains. The results reveal that the coupling between AI and quantum systems exhibits a higher relative growth rate (1.58) compared to each scientific field individually (Quantum: 1.07; AI: 1.37). Statistical evidence indicates that AI, as a general-purpose technology, significantly drives progress in the combined domain. The interaction of these breakthrough fields fosters a mutually reinforcing cycle of scientific and technological advancement, accelerating co-evolutionary pathways. The analysis is based on publication and patent data, which may not fully capture informal knowledge flows or emerging research that has not yet been published. Furthermore, the study focuses on two domains only, limiting generalizability to other scientific and technological interactions. The findings suggest that science policy and R&D strategies should promote cross-domain collaboration and targeted investments directed to interactions in emerging fields. Encouraging integration between AI and quantum systems can amplify both science advances and innovation trajectories. This study provides a novel evidence-based explanation of how interaction-specifically between AI and quantum systems-is a driving force that accelerates scientific and technological evolution. Hence, this study contributes to the theoretical understanding of drivers in scientific and technological change in order to offer new strategies for innovation and science policies.