Application of Quantum Computing Technology in the Optimization of Search Sorting for Fashion E-commerce
Year: 2025
Type: article
Abstract: With the continuous progress of the fashion e-commerce industry, consumers' demand for accuracy and personalization of search results is increasing day by day. However, traditional computing methods are inadequate in dealing with big data processing and complex sorting tasks. Quantum computing, with its unique advantages in solving complex problems and parallel operations, has gradually become a research hotspot for improving search ranking optimization. This article explores various challenges encountered in applying quantum computing to the search ranking process of fashion e-commerce platforms, such as technical implementation, information management, economic costs, and actual benefits. Corresponding improvement measures are proposed to enhance the speed and effectiveness of search ranking and promote the practical application and development of quantum computing technology in the field of e-commerce.
DOI: 10.54097/spk64b71
Author: Anyi Chen
Institution: Walmart (United States)
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4408992416