Leveraging Quantum Computing for Multi-Criteria Decision Analysis in Strategic Business Planning
Yogesh Kumar Jain, Bhavana Likhitkar, Priti Verma, Pradeep Kumar Mishra, Dhaarna Singh Rathore, Mahendra Shankar Bhokare · 2025
This study examines the feasibility of quantum computing as a new approach to multi-criteria decision analysis (MCDA) in strategic business planning. Quantum algorithms can provide advantages over classical methods in solving complex decision-making tasks by leveraging unique quantum properties that include superposition, entanglement, and parallelism. These include drastically shortening computation times, increasing accuracy, and successfully solving large, interconnected decision spaces. Visual simulations and comparative analysis are carried out to show the advantages of quantum algorithms in the ability to solve multi-criteria problems. The outcomes show that the QDPA converges at a more rapid pace, with a smaller error margin, demonstrating the applicability and viability of quantum methods in intricate decision-making environments. This effort is vital as it leverages quantum computing as a compelling strategic business enabling technology by facilitating better analysis of costly complex decisions.