QUANTUM COMPUTING FOR TRAVEL OPTIMIZATION IN THE TOURISM SECTOR: A BIBLIOMETRIC ANALYSIS

The study examines the usage of quantum computing in the travel industry: Looking at different ways of using quantum computing to improve crucial optimisation challenges, including route planning, pricing and resource allocation. The research methodology involves an in-depth review of the literature in the field of quantum computing for optimisation tasks. The study will highlight the opinions and advantages of quantum computing in the travel industry. Key aspects to be explored include the potential acceleration of route planning, enhanced pricing models with quantum machine learning, and resource optimisation for tourism-related services. Bibliometric analysis is conducted to understand the trends and work done in Quantum computing. In the last 5 years of the Scopus-indexed database, 14457 articles have been used, and bibliometric analysis has been conducted to understand the country's, universities', institutions', and authors' contributions in the field.