
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.
Quantum, Computing, Travel, Tourism, Machine Learning, Industrial Growth, Product Innovation.
Quantum, Computing, Travel, Tourism, Machine Learning, Industrial Growth, Product Innovation.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
