METHODS FOR OPTIMIZING ELECTRONIC DOCUMENT EXCHANGE SYSTEMS USING QUANTUM ALGORITHMS

Abstract

Electronic Document Exchange Systems (EDES) are of significant importance for modern communication, requiring effective optimization strategies to enhance their performance and security. Traditional optimization methods face difficulties in addressing the complexities of document routing, scheduling, and resource allocation. In this paper, we explore the potential of quantum algorithms to revolutionize the optimization of EDES. By utilizing quantum parallelism and interference effects, quantum algorithms propose new approaches for solving optimization problems. We investigate quantum-inspired optimization methods, including Quantum Annealing and the Quantum Approximate Optimization Algorithm (QAOA), explaining their application in improving the efficiency, scalability, and security of EDES. Through this comprehensive analysis, we emphasize the transformative impact of quantum algorithms on the optimization of electronic document exchange systems.