Future of Digital Trade: Integrating Quantum Computing with AI and Blockchain for Intelligent and Trustworthy eCommerce
Keywords:
Quantum computing, artificial intelligence, blockchain, digital trade, eCommerce, cryptography, security, scalability, fraud detection, interoperabilityAbstract
This paper explores the potential of integrating quantum computing, artificial intelligence (AI), and blockchain technology to revolutionize digital trade and ecommerce. As digital trade expands globally, the demand for enhanced security, efficiency, and intelligence in online transactions grows exponentially. Quantum computing offers unparalleled computational power, enabling faster and more secure processing of complex algorithms, which could address current limitations in cryptographic techniques. AI contributes by optimizing decision-making, personalizing user experiences, and enhancing fraud detection. Blockchain, with its decentralized and immutable nature, ensures transparency and trust in digital transactions, further enhancing security. This research discusses the convergence of these technologies, their synergies in creating intelligent, scalable, and secure eCommerce ecosystems, and the challenges that need to be addressed for practical implementation. Additionally, the paper investigates case studies demonstrating early-stage applications of these technologies in digital trade, while considering their potential in shaping the future of global commerce. Key challenges such as quantum resistance in blockchain, AI-driven automation, and interoperability across systems are critically analyzed. This study provides a comprehensive vision of the future landscape of digital trade, emphasizing the importance of integrating quantum computing, AI, and blockchain for developing trustworthy and efficient digital commerce platforms.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Journal of Science, Technology and Engineering Research

This work is licensed under a Creative Commons Attribution 4.0 International License.