Quantum Computing in Finance: A Scientometric Exploration of Emerging Trends and Applications in Financial Markets
摘要
This paper reviews the role of quantum computing in finance based on publication patterns, major themes and network of collaborators. It outlines the possibility of application of quantum algorithms, such as those of Grover and Shor, to some of the most difficult financial problems such as optimisation of portfolios, risk management and derivative valuation. It is analyzed with the help of bibliometric information, which was found in Scopus and Web of Science and processed with the help of VOSviewer or Biblioshiny. The review of publications, citation patterns, major researchers, institutions, countries, and thematic maps are explored to determine the essential research topics and new trends. The investigation reveals the increasing amount of literature concerning quantum computing in finance, and interdisciplinary cooperation has made an enormous contribution. The use of quantum enhancers of machine learning and quantum algorithms has been pointed out as key areas of innovation. Thematic mapping shows an increase in the engagement of research in the field of financial risk management and quantum optimisation models. The conclusions provide valuable information to the researchers and practitioners since they suggest the potential areas of research and the applications of technology in finance. The possibility of quantum computing to compute intensive tasks in computing results in new opportunities in financial modelling, optimisation and decision-making which can improve efficiency and innovation in the industry. The unique scientific method a blend of scientometrics and financial study that is the current topic of analysis of changes in quantum computing in finance is on the one hand, mapping the faces of change in quantum computing in financial science. It highlights essential gaps in the literature and provides an area where future research can be conducted, towards building quantum-based financial instruments and models. It will also determine key, emerging, and niche areas of inquiry, therefore offering the guiding compass towards the ultimate discoveries. Although it offers a broad scientmetric coverage, the study does not cover other databases, books, or even conferences as it is restricted to publications indexed in Web of Science and Scopus. These limitations need to be addressed in future research by extending the research scope. Quantum computing in finance has the potential to create innovations in finance, encourage economic resilience and advance decision-making processes, ultimately benefiting investors and the financial ecosystem broadly.