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Sharma, Saurabh (2024) Airfare price Optimization using Quantum Computing. Masters thesis, Dublin, National College of Ireland.
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Abstract
The aviation industry is a dynamic and complex ecosystem influenced by a variety of factors such as seat availability, distance and route length, fuel price, and other considerations, in addition to market demand and competitive dynamics. Among these features, the flight price stands out as a critical component that has a significant impact on both airlines and customers. Traditional flight price optimization strategies, while beneficial to some extent, are constrained by the inherent limitations of classical computing.
With the introduction of quantum computing, a paradigm shift in the field of optimization concerns is taking place. Quantum computing employs quantum physics ideas to do tasks previously considered to be impossible for ordinary computers. This emerging technology has the potential to change the way we tackle complex optimization issues and the ticketing industry.
The aim of this research is to look at using quantum computing techniques to optimize airline pricing tactics. Traditional methods used by airlines to compute ticket price entail extensive data analysis and simulation, with heuristic algorithms employed to navigate the vast solution spaces. With its ability to evaluate enormous amounts of data at once and exploit quantum parallelism, quantum computing is a new technology that might lead to more efficient and effective flight pricing models.
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