Optimising Drug Manufacturing and Pricing

Both drug pricing and manufacturing involve optimising across numerous variables under uncertainty, e.g. costs, supply chains, regulatory constraints, production yield, and market access. Classical methods struggle with these large, dynamic, and multi-objective problems, especially when real-time adaptation is needed.

Quantum computing offers new capabilities for solving high-dimensional, constraint-based optimisation problems more efficiently. It can enhance supply chain simulations, production planning, and dynamic pricing models by exploring solution spaces that are intractable for classical algorithms.

This leads to more cost-efficient, agile, and resilient drug development pipelines, from optimised manufacturing to transparent, data-driven pricing. This can reduce waste, improve drug accessibility, and support faster and more equitable delivery of medicines worldwide.