(392bc) Quantum Optimization for Efficient Pharmaceutical Production

We present the application of Quadratic Unconstrained Binary Optimization (QUBO) models to tackle complex production scheduling problems. Utilizing the Quantum Approximate Optimization Algorithm (QAOA), we optimize resource allocation while meeting product demand constraints. Our approach encodes various operational constraints into a QUBO matrix, minimizing costs and ensuring efficient scheduling across multiple products pipelines. A case study demonstrates the potential of quantum optimization techniques to enhance industrial processes. This research offers a practical framework for integrating quantum computing into real-world manufacturing scenarios.